diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml
index abe683e0..ac4aa162 100644
--- a/.github/workflows/CI.yml
+++ b/.github/workflows/CI.yml
@@ -118,6 +118,7 @@ jobs:
             ${{ runner.os }}-
       - name: Run benchmark
         run: |
+          cd test/benchmarks
           julia  -e 'import Pkg; Pkg.add("LaplaceRedux")'
           julia  -e 'import Pkg; Pkg.add("Flux")'
           julia  -e 'import Pkg; Pkg.add("Plots")'
@@ -131,10 +132,9 @@ jobs:
           julia  -e 'import Pkg; Pkg.add("Printf")'
           julia  -e 'import Pkg; Pkg.add("BenchmarkTools")'
           julia  -e 'import Pkg; Pkg.add("Tullio")'
-          cd test/benchmarks
           julia --project --color=yes -e '
             using Pkg;
-            Pkg.instantiate();
+            Pkg.resolve();
             include("BenchmarkFit.jl")'
 
       - name: Store benchmark result
diff --git a/Project.toml b/Project.toml
index 15be5920..12bfae72 100644
--- a/Project.toml
+++ b/Project.toml
@@ -5,11 +5,20 @@ version = "0.1.2"
 
 [deps]
 Compat = "34da2185-b29b-5c13-b0c7-acf172513d20"
+ComputationalResources = "ed09eef8-17a6-5b46-8889-db040fac31e3"
 Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
+MLJ = "add582a8-e3ab-11e8-2d5e-e98b27df1bc7"
+MLJBase = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
+MLJFlux = "094fc8d1-fd35-5302-93ea-dabda2abf845"
+MLJModelInterface = "e80e1ace-859a-464e-9ed9-23947d8ae3ea"
 MLUtils = "f1d291b0-491e-4a28-83b9-f70985020b54"
 Parameters = "d96e819e-fc66-5662-9728-84c9c7592b0a"
 Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
+ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
+Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
+Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
+Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
 Tullio = "bc48ee85-29a4-5162-ae0b-a64e1601d4bc"
 Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
diff --git a/dev/notebooks/mlj-interfacing/mlj.ipynb b/dev/notebooks/mlj-interfacing/mlj.ipynb
new file mode 100644
index 00000000..614d8704
--- /dev/null
+++ b/dev/notebooks/mlj-interfacing/mlj.ipynb
@@ -0,0 +1,1242 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m\u001b[1m  Activating\u001b[22m\u001b[39m project at `c:\\Users\\marka\\Documents\\VSCode\\Julia\\LaplaceRedux.jl`\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING: using ProgressMeter.update! in module LaplaceRedux conflicts with an existing identifier.\n"
+     ]
+    }
+   ],
+   "source": [
+    "using Pkg\n",
+    "Pkg.activate(\"../../..\")\n",
+    "using LaplaceRedux\n",
+    "import Random\n",
+    "import Random.seed!\n",
+    "using MLJ\n",
+    "using MLJBase"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "seed!(1234)\n",
+    "N = 300\n",
+    "X = MLJBase.table(rand(Float32, N, 4));\n",
+    "ycont = 2*X.x1 - X.x3 + 0.1*rand(N)\n",
+    "m, M = minimum(ycont), maximum(ycont)   \n",
+    "_, a, b, _ = range(m, stop=M, length=4) |> collect\n",
+    "y = map(ycont) do η\n",
+    "    if η < 0.9*a\n",
+    "        'a'\n",
+    "    elseif η < 1.1*b\n",
+    "        'b'\n",
+    "    else\n",
+    "        'c'\n",
+    "    end\n",
+    "end |> categorical;\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "┌ Warning: The number and/or types of data arguments do not match what the specified model\n",
+      "│ supports. Suppress this type check by specifying `scitype_check_level=0`.\n",
+      "│ \n",
+      "│ Run `@doc unknown.LaplaceApproximation` to learn more about your model's requirements.\n",
+      "│ \n",
+      "│ Commonly, but non exclusively, supervised models are constructed using the syntax\n",
+      "│ `machine(model, X, y)` or `machine(model, X, y, w)` while most other models are\n",
+      "│ constructed with `machine(model, X)`.  Here `X` are features, `y` a target, and `w`\n",
+      "│ sample or class weights.\n",
+      "│ \n",
+      "│ In general, data in `machine(model, data...)` is expected to satisfy\n",
+      "│ \n",
+      "│     scitype(data) <: MLJ.fit_data_scitype(model)\n",
+      "│ \n",
+      "│ In the present case:\n",
+      "│ \n",
+      "│ scitype(data) = Tuple{Table{AbstractVector{Continuous}}, AbstractVector{Multiclass{3}}}\n",
+      "│ \n",
+      "│ fit_data_scitype(model) = Tuple{Union{Table{<:AbstractVector{<:Continuous}}, AbstractMatrix{Continuous}}, Union{AbstractArray{Finite}, AbstractArray{Continuous}}}\n",
+      "└ @ MLJBase C:\\Users\\marka\\.julia\\packages\\MLJBase\\5cxU0\\src\\machines.jl:230\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "untrained Machine; caches model-specific representations of data\n",
+       "  model: LaplaceApproximation(builder = MLP(hidden = (32, 32, 32), …), …)\n",
+       "  args: \n",
+       "    1:\tSource @833 ⏎ Table{AbstractVector{Continuous}}\n",
+       "    2:\tSource @881 ⏎ AbstractVector{Multiclass{3}}\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "la = LaplaceApproximation()\n",
+    "mach = machine(la, X, y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "┌ Info: Training machine(LaplaceApproximation(builder = MLP(hidden = (32, 32, 32), …), …), …).\n",
+      "└ @ MLJBase C:\\Users\\marka\\.julia\\packages\\MLJBase\\5cxU0\\src\\machines.jl:492\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mOptimising neural net:  18%[====>                    ]  ETA: 0:00:59\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mOptimising neural net:  36%[=========>               ]  ETA: 0:00:24\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mOptimising neural net:  45%[===========>             ]  ETA: 0:00:17\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mOptimising neural net:  55%[=============>           ]  ETA: 0:00:12\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mOptimising neural net:  64%[===============>         ]  ETA: 0:00:08\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mOptimising neural net:  73%[==================>      ]  ETA: 0:00:06\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mOptimising neural net:  82%[====================>    ]  ETA: 0:00:03\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mOptimising neural net:  91%[======================>  ]  ETA: 0:00:02\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mOptimising neural net: 100%[=========================] Time: 0:00:15\u001b[39m\u001b[K\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "trained Machine; caches model-specific representations of data\n",
+       "  model: LaplaceApproximation(builder = MLP(hidden = (32, 32, 32), …), …)\n",
+       "  args: \n",
+       "    1:\tSource @833 ⏎ Table{AbstractVector{Continuous}}\n",
+       "    2:\tSource @881 ⏎ AbstractVector{Multiclass{3}}\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "MLJ.fit!(mach)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1-element UnivariateFiniteVector{Multiclass{3}, Char, UInt32, Float64}:\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.214, b=>0.22, c=>0.565)"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "MLJ.predict(mach, MLJBase.table(rand(Float32, 1, 4)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.16532218 0.5798621 0.63177484 0.4112941 0.40779752 0.9721361 0.100497425 0.014908791 0.35365397 0.520355 0.40421855 0.6395616 0.783684 0.8396219 0.0544554 0.96714276 0.49813712 0.7897644 0.21305948 0.6960407 0.92789656 0.5667043 0.29480225 0.53636855 0.6290632 0.71138924 0.8086548 0.10392946 0.4557134 0.8067041 0.44200408 0.8705393 0.620847 0.9627145 0.35666078 0.15118009 0.41070247 0.7153546 0.081397116 0.9395476 0.6600315 0.52634364 0.47446138 0.0779683 0.9344228 0.96619666 0.6760474 0.66655785 0.72604805 0.33385903 0.19134623 0.80219877 0.6808968 0.15645838 0.8965994 0.38079917 0.70674825 0.068759084 0.28742296 0.86172485 0.47839445 0.0054365396 0.2824036 0.6984777 0.7457414 0.3492309 0.8774473 0.9109702 0.08562428 0.9736533 0.02506417 0.7606595 0.9761599 0.48891157 0.68558216 0.36264253 0.89337474 0.7087378 0.5904686 0.65669364 0.8052222 0.17386287 0.83088225 0.69736016 0.13796228 0.19172323 0.41668963 0.10051447 0.40078288 0.42138827 0.47888255 0.815926 0.22620398 0.94396394 0.15689945 0.7392551 0.18357074 0.01775086 0.25131416 0.7749752 0.6211939 0.21646678 0.42082065 0.51411927 0.42199636 0.6524645 0.15277308 0.895855 0.71400476 0.6883441 0.47424173 0.66156095 0.9583631 0.7521555 0.20189857 0.8691422 0.92839855 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.6790212 0.67921287 0.99918276 0.6330735 0.12638599 0.42068493 0.9652431 0.39466 0.5158184 0.6834782 0.48847628 0.37065548 0.5278367 0.7331045 0.9171366 0.9899075 0.7069514 0.52543133 0.7532028 0.7954533 0.573645 0.6875075 0.73187244 0.0620988 0.829076 0.17691034 0.89264643 0.634908 0.8064708 0.0059145093 0.011624992 0.4051922 0.24967635 0.58071333 0.13968664 0.3244185 0.18099761 0.5195296 0.81351215 0.98388934 0.99493456 0.89373535 0.7791602 0.15115261 0.58768785 0.9005262 0.38136297 0.62066364 0.42561948 0.7033263 0.6610964 0.29791862 0.19573694 0.8791518 0.8113243 0.38147092 0.5949651 0.36926 0.27099508 0.46136308 0.56687826 0.10286927 0.60790473 0.35085022 0.8503021 0.6123273 0.12484723 0.9730994 0.9936088 0.12189937 0.0686571 0.14308047 0.95336145 0.9660131 0.4843366 0.40982634 0.1509332 0.4872998 0.97158796 0.5892024 0.29429024 0.009276867 0.9311396 0.50117344 0.19190276 0.19214416 0.014360905 0.7173759 0.40672225 0.3662243 0.059574068 0.1351977 0.9439941 0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.78240484 0.5944612 0.76466644 0.68021315 0.9188778 0.31678873 0.034482956 0.3069358 0.42860413 0.048154593 0.78899896 0.62130713 0.43354708 0.5867264 0.7381152 0.7258277 0.9522702 0.19700187 0.09981507 0.911713 0.60132647 0.5156738 0.44202578 0.0842492 0.5725609 0.88005245 0.13828695 0.50184184 0.73370177 0.09792763 0.5404197 0.64268816 0.47753608 0.8804024 0.6014333 0.20408583 0.5901009 0.053139746 0.020724356 0.1709863 0.3199988 0.8918018 0.7630807 0.15209883 0.33133662 0.7897672 0.45104736 0.18251759 0.13727355 0.2890247 0.03741485 0.6166784 0.49258822 0.49375296 0.8044411 0.019010723 0.09559542 0.53107214 0.18984771 0.87622726 0.6140703 0.2951482 0.11724764 0.50025785 0.07975471 0.8192987 0.9955324 0.75420755 0.977151 0.55941135 0.425209 0.2879671 0.7688996 0.71227765 0.74839413 0.9138456 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.926979 0.24424183 0.24488896 0.08267152 0.6447232 0.022868752 0.9659986 0.53367126 0.80599827 0.12144989 0.33919823 0.7826318 0.6816705 0.29082978 0.925237 0.6854628 0.60136086 0.55487835 0.6255127 0.9969929 0.7261784 0.09164637 0.99887043 0.33352673 0.80048615 0.28512615 0.53485245 0.562245 0.20341808 0.5119227 0.85432094 0.8857938 0.1985054 0.9488835 0.07243055 0.22691375 0.11893028 0.5288004 0.48075598 0.53244513 0.38528752 0.25105417 0.9209848 0.65378004 0.78226894 0.1539157 0.21147382 0.13832206 0.48857212 0.76138085 0.6703669 0.98252124 0.24574417 0.3892365 0.12515908 0.30145907 0.97289693 0.24778175 0.6565862 0.91007876 0.24744922 0.14263326 0.922798 0.7460805 0.8947133 0.48113585 0.2240889 0.35561353 0.029188633 0.34530753 0.7779738 0.30309427 0.06425768 0.6542303 0.86346716 0.35793614 0.716972 0.33141106 0.8571889 0.5183461 0.2925284 0.11769009 0.4533438 0.24295491 0.07458258 0.030334234 0.9760168 0.5461583 0.038529754 0.8346096 0.37299794 0.93734115 0.35436404 0.71781546 0.38017952 0.3645875 0.29044604 0.4310102 0.693072 0.5332838 0.51926714 0.91259587 0.069423676 0.7661145 0.103720784 0.52964467 0.18485504 0.41733402 0.9249767 0.26451778 0.937643 0.41210163 0.4223348 0.41160983 0.9500863 0.32062232 0.24589634 0.35893893 0.96065086 0.6300663 0.22838497 0.013192236 0.7030596 0.79423934 0.7075328 0.29874516 0.7469826 0.39029676 0.6880891 0.89880097 0.38799942 0.28332794 0.016762078 0.15095997 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.58729696 0.15124989 0.1253429 0.6979861 0.7126513 0.49596465 0.37370753 0.7255095 0.61277664 0.924031 0.16718775 0.27250314 0.087466836 0.53132784 0.9986053 0.24016833 0.071873546 0.9514363 0.17656696 0.15552247 0.17279375 0.7183834 0.8875021 0.45958066 0.18550587 0.6165309 0.56917804 0.42008942 0.7734048 0.8244852 0.49763054 0.7534151 0.029661894 0.6684652 0.9058377 0.47185725 0.4525261 0.60723144 0.9932291 0.7381704 0.14288884 0.30432576 0.23469996 0.73680115 0.50849366 0.40566272 0.034308016 0.41688657 0.5617693 0.82014275 0.34418535 0.7768751 0.4161656 0.74908775 0.92396796 0.7963618 0.81819135 0.483016 0.89237684 0.8911799 0.7715567 0.029620707 0.51674616 0.9771519 0.61766195 0.20889467 0.6184371 0.04629135 0.71231514 0.7330843 0.7300063 0.4910978 0.106365025 0.10118806 0.87742144 0.9657158 0.58536017 0.65914774 0.55733746 0.6668323 0.42304188 0.7903693 0.6534047 0.50067425 0.6284288 0.9777698 0.9751016 0.8003855 0.36216897 0.68889946 0.1967076 0.3486147 0.20248681"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.7838641 0.347134 0.25839442 0.8252056 0.011497796 0.26293403 0.008832872 0.08230829 0.91235524 0.68266034 0.24653858 0.6031214 0.46635896 0.88554174 0.19512612 0.6275166 0.7406092 0.8479886 0.33279884 0.50986385 0.1657545 0.7416847 0.014072657 0.8917918 0.70351905 0.26739478 0.8113189 0.8131166 0.22222304 0.057780683 0.86479205 0.6740237 0.49667072 0.89771754 0.34482372 0.1137166 0.7688486 0.3321699 0.7559677 0.22271216 0.86725116 0.89524585 0.9811011 0.7765731 0.7758096 0.70173347 0.3570534 0.85567236 0.7932191 0.4042179 0.54560727 0.86155874 0.3996886 0.50822675 0.8150668 0.93012935 0.76845205 0.49841642 0.44064963 0.04879129 0.2971002 0.22589535 0.8941778 0.26255137 0.5396348 0.46371162 0.7249643 0.64401764 0.20631129 0.7832641 0.87178236 0.6869495 0.06384426 0.9522333 0.24427849 0.78495896 0.21627665 0.95325917 0.8220774 0.5163317 0.5962744 0.3976577 0.93163764 0.74783784 0.96404237 0.5606587 0.7140614 0.6981178 0.6025068 0.72202224 0.622735 0.65768003 0.72299767 0.41825908 0.74098665 0.09474403 0.22351992 0.70787615 0.73082376 0.38994294 0.39474875 0.74366856 0.066239536 0.4907207 0.6999204 0.03468597 0.14513713 0.2929476 0.69197226 0.5237082 0.62074876 0.46056885 0.2137382 0.40527874 0.5725813 0.18780178 0.50745 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.6107248 0.98784965 0.9674504 0.9494775 0.12477416 0.92242616 0.3453219 0.56279653 0.6054233 0.94693106 0.6183338 0.41512316 0.7445648 0.76492906 0.095279396 0.30516624 0.77427125 0.24719232 0.083891094 0.1593324 0.47698337 0.28620046 0.015610278 0.2676897 0.9475911 0.38254565 0.289622 0.9050766 0.20530295 0.6788961 0.8358941 0.6453016 0.9836163 0.4041093 0.3126793 0.9883514 0.5263513 0.8458807 0.4858631 0.32824332 0.26419258 0.70721215 0.6304151 0.014074087 0.99499696 0.5232068 0.96591556 0.10345048 0.5050735 0.4981438 0.5836694 0.19336534 0.06639856 0.72972304 0.45428503 0.2871287 0.21418709 0.8169006 0.265844 0.059018552 0.41001493 0.8320547 0.7173013 0.68871754 0.31784958 0.45131755 0.63902426 0.6948801 0.9265773 0.21823871 0.25982565 0.012619793 0.18974453 0.9668594 0.45021474 0.36762333 0.44950557 0.8123859 0.65483654 0.53719723 0.3571455 0.4774658 0.6452171 0.20852733 0.55132234 0.72520536 0.8941384 0.426252 0.46372736 0.16490674 0.5539466 0.17999572 0.4967817 0.7817784 0.46676397 0.4748057 0.49795574 0.5403161 0.7223048 0.46074694 0.688283 0.70086247 0.42004287 0.7826668 0.95727545 0.2776788 0.5865905 0.54474133 0.6921505 0.7603872 0.85909414 0.5063829 0.2909636 0.87830454 0.386352 0.73718315 0.47291017 0.07055777 0.294204 0.628901 0.46399486 0.7234403 0.04683757 0.5395004 0.8192337"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.30220723 0.8828485 0.50813156 0.8019736 0.46795303 0.35554767 0.50834614 0.7254729 0.48243308 0.1177547 0.03420192 0.1359688 0.49275774 0.79504 0.76544684 0.3751437 0.9436278 0.53462446 0.7886759 0.45795912 0.67699 0.13657033 0.86318046 0.5716285 0.6191938 0.4286188 0.5811627 0.908035 0.47966665 0.06637716 0.17502457 0.65400696 0.2772696 0.18553287 0.33922237 0.95752203 0.476974 0.6881478 0.32148713 0.32019776 0.45256174 0.6335418 0.056147933 0.105350494 0.31825376 0.37146592 0.69421947 0.10684264 0.864158 0.40745795 0.5013075 0.03253901 0.96479255 0.072764456 0.95984066 0.7760314 0.40281177 0.1921972 0.24326253 0.3751074 0.40758014 0.52518827 0.22662365 0.054962993 0.8213404 0.8954591 0.8126681 0.6203324 0.2794175 0.83210033 0.98022985 0.39337838 0.7284996 0.7997312 0.22629154 0.9389881 0.27634686 0.043126285 0.76449025 0.37227744 0.3112849 0.90344244 0.40022868 0.37437856 0.79789984 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "300-element UnivariateFiniteVector{Multiclass{3}, Char, UInt32, Float64}:\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.553, b=>0.23, c=>0.217)\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.228, b=>0.497, c=>0.276)\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.236, b=>0.353, c=>0.411)\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.239, b=>0.541, c=>0.22)\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.266, b=>0.507, c=>0.227)\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.217, b=>0.229, c=>0.554)\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.538, b=>0.242, c=>0.22)\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.576, b=>0.212, c=>0.212)\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.304, b=>0.466, c=>0.23)\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.285, b=>0.484, c=>0.231)\n",
+       " ⋮\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.575, b=>0.213, c=>0.212)\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.363, b=>0.401, c=>0.236)\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.576, b=>0.212, c=>0.212)\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.556, b=>0.228, c=>0.216)\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.222, b=>0.563, c=>0.215)\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.224, b=>0.259, c=>0.517)\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.219, b=>0.545, c=>0.236)\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.228, b=>0.277, c=>0.495)\n",
+       " UnivariateFinite{Multiclass{3}}(a=>0.216, b=>0.56, c=>0.224)"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "MLJ.predict(mach, X)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "┌ Info: Training machine(ProbabilisticTunedModel(model = LaplaceApproximation(builder = MLP(hidden = (32, 32, 32), …), …), …), …).\n",
+      "└ @ MLJBase C:\\Users\\marka\\.julia\\packages\\MLJBase\\5cxU0\\src\\machines.jl:492\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "┌ Info: Attempting to evaluate 25 models.\n",
+      "└ @ MLJTuning C:\\Users\\marka\\.julia\\packages\\MLJTuning\\ZFg3R\\src\\tuned_models.jl:727\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:   8%[==>                      ]  ETA: 0:37:04\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  12%[===>                     ]  ETA: 0:35:12\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  16%[====>                    ]  ETA: 0:33:38\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  20%[=====>                   ]  ETA: 0:31:58\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  24%[======>                  ]  ETA: 0:30:25\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  28%[=======>                 ]  ETA: 0:28:50\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  32%[========>                ]  ETA: 0:27:13\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  36%[=========>               ]  ETA: 0:25:38\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  40%[==========>              ]  ETA: 0:24:07\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  44%[===========>             ]  ETA: 0:22:29\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  48%[============>            ]  ETA: 0:20:53\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  52%[=============>           ]  ETA: 0:19:22\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  56%[==============>          ]  ETA: 0:17:48\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  60%[===============>         ]  ETA: 0:16:07\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  64%[================>        ]  ETA: 0:14:29\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  68%[=================>       ]  ETA: 0:12:51\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  72%[==================>      ]  ETA: 0:11:14\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  76%[===================>     ]  ETA: 0:09:38\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  80%[====================>    ]  ETA: 0:08:03\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  84%[=====================>   ]  ETA: 0:06:27\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  88%[======================>  ]  ETA: 0:04:52\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  92%[=======================> ]  ETA: 0:03:16\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels:  96%[========================>]  ETA: 0:01:39\u001b[39m\u001b[K"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Float32[0.87856436 0.5650886 0.008935869 0.6632633 0.93031573 0.9718015 0.82688934 0.14255315 0.41705966 0.8366324 0.5876904 0.020092964 0.27035362 0.30277765 0.9208812 0.9074377 0.20098424 0.24460196 0.9991578 0.16400963 0.7862503 0.21823102 0.8991626 0.03671515 0.4071775 0.37859386 0.47274703 0.68415344 0.22328556 0.7498574 0.8834188 0.9678656 0.3968429 0.4834112 0.8669824 0.26573616 0.57787067 0.2973174 0.38930905 0.61340404 0.11029923 0.74368423 0.5375536 0.3633721 0.67052495 0.9241581 0.75625014 0.55724716 0.9754534 0.11680651 0.99093693 0.80999446 0.7710067 0.6682192 0.101358294 0.44299918 0.23325235 0.06643689 0.9198963 0.99097186 0.07650107 0.57911646 0.002673149 0.7384242 0.3316977 0.42385745 0.9784208 0.8903199 0.24702352 0.75235057 0.6753092 0.7227549 0.8064789 0.15120327 0.76108 0.49001884 0.80990213 0.7081839 0.33293796 0.1993131 0.7974036 0.09855342 0.33351284 0.13155365 0.14627618 0.22886461 0.76447374 0.89335316 0.9888065 0.95089495; 0.8457431 0.95483774 0.75411344 0.06778473 0.99641234 0.28537846 0.13131452 0.65318227 0.07421082 0.7414049 0.2059896 0.7351872 0.1411112 0.8530345 0.71583146 0.048810184 0.56349164 0.46273184 0.24803418 0.44869 0.5996221 0.613598 0.24990308 0.023365796 0.56741786 0.39640182 0.39420426 0.3576733 0.64202476 0.25547802 0.9399812 0.41524667 0.4869336 0.23332375 0.42322236 0.39406008 0.7062664 0.068559885 0.23472989 0.22315925 0.06214565 0.8354003 0.7616364 0.9215533 0.83230525 0.6257219 0.25878638 0.19617587 0.39841336 0.60729957 0.21763575 0.031149328 0.4608671 0.5947434 0.15653765 0.13319016 0.17685956"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 0.55116224 0.18988574 0.92794925 0.49171978 0.88724107 0.1822477 0.066115856 0.59436244 0.49732125 0.7043399 0.59529346 0.09161842 0.14803469 0.37090206 0.07286382 0.87836635 0.97937596 0.74100286 0.3932346 0.22082269 0.55101484 0.28328526 0.7434276 0.1547485 0.79905766 0.7471935 0.01735282 0.68908715 0.35211122 0.19414377 0.102077305 0.03226441 0.016291142; 0.8377536 0.83444756 0.17700642 0.9823552 0.94666296 0.28224695 0.07930452 0.50280905 0.12959856 0.4220931 0.23751438 0.7153392 0.521955 0.7790886 0.54815984 0.01734525 0.6753709 0.32431173 0.10644525 0.5401802 0.19036585 0.7131693 0.70007175 0.8860899 0.3568948 0.582498 0.23244917 0.21097916 0.14533311 0.60333675 0.3550272 0.93424916 0.87652624 0.08491409 0.6315656 0.87414443 0.99445635 0.15549219 0.055096388 0.926222 0.56056756 0.28208643 0.9622682 0.29333377 0.99679255 0.56491137 0.90318996 0.23456907 0.8727655 0.11480343 0.011171341 0.72809035 0.8497278 0.77268106 0.8615579 0.59907556 0.8244253 0.65098923 0.8392629 0.24207413 0.64939725 0.44980943 0.69692206 0.872465 0.96501535 0.98121494 0.38602412 0.39566642 0.7439724 0.52806294 0.53298527 0.50486994 0.18927085 0.9375571 0.9151064 0.109520316 0.016509473 0.13003111 0.8259363 0.6841478 0.8585283 0.7257543 0.6473093 0.84692746 0.5503683 0.033445895 0.1869483 0.7505386 0.66026026 0.86365235; 0.7986313 0.81039554 0.6629884 0.5037545 0.47074896 0.55309564 0.8744821 0.42120016 0.70547235 0.5203725 0.88078135 0.021224499 0.41436505 0.12798393 0.21896702 0.08459729 0.028029561 0.69600195 0.10500324 0.81870687 0.46599132 0.67142004 0.70187575 0.75548494 0.41842127 0.54987067 0.33860922 0.31056142 0.615312 0.04902792 0.5196635 0.74812853 0.15958303 0.9872092 0.81845355 0.6167413 0.8241443 0.9511548 0.46696597 0.57601935 0.4085273 0.75447637 0.02060914 0.84478873 0.18645781 0.86248845 0.8767659 0.6703764 0.48150122 0.8845159 0.07807851 0.6612452 0.65068895 0.00012391806 0.38021773 "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.76865065 0.2691008 0.68666756 0.61322564 0.20586246 0.36481434 0.7284117 0.30123973 0.87636167 0.72767025 0.9150595 0.9575781 0.101486325 0.72846 0.76737523 0.18021297 0.06935227 0.63305324 0.23532754 0.4879579 0.67279303 0.32935804 0.60393983 0.121877134 0.60026497 0.10097146 0.8045382 0.1534285 0.8085536 0.25420493 0.68663293 0.99158925 0.6872895 0.11120832 0.8613368]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r\u001b[33mEvaluating over 25 metamodels: 100%[=========================] Time: 0:41:37\u001b[39m\u001b[K\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "image/svg+xml": [
+       "<?xml version=\"1.0\" encoding=\"utf-8\"?>\n",
+       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"600\" height=\"400\" viewBox=\"0 0 2400 1600\">\n",
+       "<defs>\n",
+       "  <clipPath id=\"clip580\">\n",
+       "    <rect x=\"0\" y=\"0\" width=\"2400\" height=\"1600\"/>\n",
+       "  </clipPath>\n",
+       "</defs>\n",
+       "<path clip-path=\"url(#clip580)\" d=\"M0 1600 L2400 1600 L2400 0 L0 0  Z\" fill=\"#ffffff\" fill-rule=\"evenodd\" fill-opacity=\"1\"/>\n",
+       "<defs>\n",
+       "  <clipPath id=\"clip581\">\n",
+       "    <rect x=\"480\" y=\"0\" width=\"1681\" height=\"1600\"/>\n",
+       "  </clipPath>\n",
+       "</defs>\n",
+       "<path clip-path=\"url(#clip580)\" d=\"M219.542 1410.9 L2352.76 1410.9 L2352.76 47.2441 L219.542 47.2441  Z\" fill=\"#ffffff\" fill-rule=\"evenodd\" fill-opacity=\"1\"/>\n",
+       "<defs>\n",
+       "  <clipPath id=\"clip582\">\n",
+       "    <rect x=\"219\" y=\"47\" width=\"2134\" height=\"1365\"/>\n",
+       "  </clipPath>\n",
+       "</defs>\n",
+       "<polyline clip-path=\"url(#clip582)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:2; stroke-opacity:0.1; fill:none\" points=\"279.916,1410.9 279.916,47.2441 \"/>\n",
+       "<polyline clip-path=\"url(#clip582)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:2; stroke-opacity:0.1; fill:none\" points=\"1154.51,1410.9 1154.51,47.2441 \"/>\n",
+       "<polyline clip-path=\"url(#clip582)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:2; stroke-opacity:0.1; fill:none\" points=\"2029.1,1410.9 2029.1,47.2441 \"/>\n",
+       "<polyline clip-path=\"url(#clip580)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"219.542,1410.9 2352.76,1410.9 \"/>\n",
+       "<polyline clip-path=\"url(#clip580)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"279.916,1410.9 279.916,1392 \"/>\n",
+       "<polyline clip-path=\"url(#clip580)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"1154.51,1410.9 1154.51,1392 \"/>\n",
+       "<polyline clip-path=\"url(#clip580)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"2029.1,1410.9 2029.1,1392 \"/>\n",
+       "<path clip-path=\"url(#clip580)\" d=\"M244.899 1485.02 L252.538 1485.02 L252.538 1458.66 L244.228 1460.32 L244.228 1456.06 L252.492 1454.4 L257.167 1454.4 L257.167 1485.02 L264.806 1485.02 L264.806 1488.96 L244.899 1488.96 L244.899 1485.02 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M284.251 1457.48 Q280.64 1457.48 278.811 1461.04 Q277.005 1464.58 277.005 1471.71 Q277.005 1478.82 278.811 1482.38 Q280.64 1485.92 284.251 1485.92 Q287.885 1485.92 289.69 1482.38 Q291.519 1478.82 291.519 1471.71 Q291.519 1464.58 289.69 1461.04 Q287.885 1457.48 284.251 1457.48 M284.251 1453.77 Q290.061 1453.77 293.116 1458.38 Q296.195 1462.96 296.195 1471.71 Q296.195 1480.44 293.116 1485.04 Q290.061 1489.63 284.251 1489.63 Q278.44 1489.63 275.362 1485.04 Q272.306 1480.44 272.306 1471.71 Q272.306 1462.96 275.362 1458.38 Q278.44 1453.77 284.251 1453.77 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M305.9 1435.97 Q302.966 1435.97 301.48 1438.86 Q300.013 1441.74 300.013 1447.53 Q300.013 1453.31 301.48 1456.2 Q302.966 1459.08 305.9 1459.08 Q308.853 1459.08 310.32 1456.2 Q311.805 1453.31 311.805 1447.53 Q311.805 1441.74 310.32 1438.86 Q308.853 1435.97 305.9 1435.97 M305.9 1432.96 Q310.621 1432.96 313.103 1436.7 Q315.605 1440.43 315.605 1447.53 Q315.605 1454.62 313.103 1458.37 Q310.621 1462.09 305.9 1462.09 Q301.179 1462.09 298.678 1458.37 Q296.195 1454.62 296.195 1447.53 Q296.195 1440.43 298.678 1436.7 Q301.179 1432.96 305.9 1432.96 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M1120.84 1485.02 L1128.48 1485.02 L1128.48 1458.66 L1120.17 1460.32 L1120.17 1456.06 L1128.43 1454.4 L1133.11 1454.4 L1133.11 1485.02 L1140.74 1485.02 L1140.74 1488.96 L1120.84 1488.96 L1120.84 1485.02 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M1160.19 1457.48 Q1156.58 1457.48 1154.75 1461.04 Q1152.94 1464.58 1152.94 1471.71 Q1152.94 1478.82 1154.75 1482.38 Q1156.58 1485.92 1160.19 1485.92 Q1163.82 1485.92 1165.63 1482.38 Q1167.46 1478.82 1167.46 1471.71 Q1167.46 1464.58 1165.63 1461.04 Q1163.82 1457.48 1160.19 1457.48 M1160.19 1453.77 Q1166 1453.77 1169.05 1458.38 Q1172.13 1462.96 1172.13 1471.71 Q1172.13 1480.44 1169.05 1485.04 Q1166 1489.63 1160.19 1489.63 Q1154.38 1489.63 1151.3 1485.04 Q1148.24 1480.44 1148.24 1471.71 Q1148.24 1462.96 1151.3 1458.38 Q1154.38 1453.77 1160.19 1453.77 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M1172.68 1458.35 L1178.89 1458.35 L1178.89 1436.93 L1172.13 1438.28 L1172.13 1434.82 L1178.85 1433.47 L1182.65 1433.47 L1182.65 1458.35 L1188.85 1458.35 L1188.85 1461.55 L1172.68 1461.55 L1172.68 1458.35 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M1994.88 1485.02 L2002.51 1485.02 L2002.51 1458.66 L1994.2 1460.32 L1994.2 1456.06 L2002.47 1454.4 L2007.14 1454.4 L2007.14 1485.02 L2014.78 1485.02 L2014.78 1488.96 L1994.88 1488.96 L1994.88 1485.02 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M2034.23 1457.48 Q2030.62 1457.48 2028.79 1461.04 Q2026.98 1464.58 2026.98 1471.71 Q2026.98 1478.82 2028.79 1482.38 Q2030.62 1485.92 2034.23 1485.92 Q2037.86 1485.92 2039.67 1482.38 Q2041.5 1478.82 2041.5 1471.71 Q2041.5 1464.58 2039.67 1461.04 Q2037.86 1457.48 2034.23 1457.48 M2034.23 1453.77 Q2040.04 1453.77 2043.09 1458.38 Q2046.17 1462.96 2046.17 1471.71 Q2046.17 1480.44 2043.09 1485.04 Q2040.04 1489.63 2034.23 1489.63 Q2028.42 1489.63 2025.34 1485.04 Q2022.28 1480.44 2022.28 1471.71 Q2022.28 1462.96 2025.34 1458.38 Q2028.42 1453.77 2034.23 1453.77 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M2050.74 1458.35 L2064 1458.35 L2064 1461.55 L2046.17 1461.55 L2046.17 1458.35 Q2048.33 1456.11 2052.06 1452.35 Q2055.8 1448.57 2056.76 1447.48 Q2058.58 1445.43 2059.3 1444.02 Q2060.03 1442.59 2060.03 1441.22 Q2060.03 1438.98 2058.45 1437.57 Q2056.89 1436.16 2054.37 1436.16 Q2052.59 1436.16 2050.59 1436.78 Q2048.62 1437.4 2046.36 1438.66 L2046.36 1434.82 Q2048.65 1433.9 2050.65 1433.43 Q2052.64 1432.96 2054.3 1432.96 Q2058.66 1432.96 2061.26 1435.14 Q2063.85 1437.32 2063.85 1440.97 Q2063.85 1442.7 2063.19 1444.26 Q2062.55 1445.8 2060.84 1447.91 Q2060.37 1448.46 2057.85 1451.07 Q2055.33 1453.67 2050.74 1458.35 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M1206.34 1554.9 L1206.34 1557.76 L1179.41 1557.76 Q1179.79 1563.81 1183.04 1566.99 Q1186.32 1570.14 1192.14 1570.14 Q1195.52 1570.14 1198.67 1569.32 Q1201.85 1568.49 1204.97 1566.83 L1204.97 1572.37 Q1201.82 1573.71 1198.51 1574.41 Q1195.2 1575.11 1191.79 1575.11 Q1183.26 1575.11 1178.27 1570.14 Q1173.3 1565.18 1173.3 1556.71 Q1173.3 1547.96 1178.01 1542.83 Q1182.75 1537.68 1190.77 1537.68 Q1197.97 1537.68 1202.14 1542.33 Q1206.34 1546.94 1206.34 1554.9 M1200.48 1553.18 Q1200.42 1548.37 1197.78 1545.51 Q1195.17 1542.64 1190.84 1542.64 Q1185.94 1542.64 1182.98 1545.41 Q1180.05 1548.18 1179.6 1553.21 L1200.48 1553.18 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M1221.62 1568.84 L1221.62 1587.74 L1215.73 1587.74 L1215.73 1538.54 L1221.62 1538.54 L1221.62 1543.95 Q1223.46 1540.77 1226.26 1539.24 Q1229.1 1537.68 1233.01 1537.68 Q1239.5 1537.68 1243.55 1542.83 Q1247.62 1547.99 1247.62 1556.39 Q1247.62 1564.8 1243.55 1569.95 Q1239.5 1575.11 1233.01 1575.11 Q1229.1 1575.11 1226.26 1573.58 Q1223.46 1572.02 1221.62 1568.84 M1241.54 1556.39 Q1241.54 1549.93 1238.87 1546.27 Q1236.23 1542.58 1231.58 1542.58 Q1226.93 1542.58 1224.26 1546.27 Q1221.62 1549.93 1221.62 1556.39 Q1221.62 1562.85 1224.26 1566.55 Q1226.93 1570.21 1231.58 1570.21 Q1236.23 1570.21 1238.87 1566.55 Q1241.54 1562.85 1241.54 1556.39 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M1271.14 1542.64 Q1266.43 1542.64 1263.69 1546.34 Q1260.96 1550 1260.96 1556.39 Q1260.96 1562.79 1263.66 1566.48 Q1266.4 1570.14 1271.14 1570.14 Q1275.82 1570.14 1278.56 1566.45 Q1281.3 1562.76 1281.3 1556.39 Q1281.3 1550.06 1278.56 1546.37 Q1275.82 1542.64 1271.14 1542.64 M1271.14 1537.68 Q1278.78 1537.68 1283.14 1542.64 Q1287.5 1547.61 1287.5 1556.39 Q1287.5 1565.15 1283.14 1570.14 Q1278.78 1575.11 1271.14 1575.11 Q1263.47 1575.11 1259.11 1570.14 Q1254.78 1565.15 1254.78 1556.39 Q1254.78 1547.61 1259.11 1542.64 Q1263.47 1537.68 1271.14 1537.68 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M1322.86 1539.91 L1322.86 1545.38 Q1320.38 1544.01 1317.87 1543.34 Q1315.38 1542.64 1312.84 1542.64 Q1307.14 1542.64 1303.99 1546.27 Q1300.84 1549.87 1300.84 1556.39 Q1300.84 1562.92 1303.99 1566.55 Q1307.14 1570.14 1312.84 1570.14 Q1315.38 1570.14 1317.87 1569.47 Q1320.38 1568.77 1322.86 1567.41 L1322.86 1572.82 Q1320.41 1573.96 1317.77 1574.54 Q1315.16 1575.11 1312.2 1575.11 Q1304.15 1575.11 1299.41 1570.05 Q1294.66 1564.99 1294.66 1556.39 Q1294.66 1547.67 1299.44 1542.68 Q1304.24 1537.68 1312.58 1537.68 Q1315.29 1537.68 1317.87 1538.25 Q1320.44 1538.79 1322.86 1539.91 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M1362.68 1552.67 L1362.68 1574.19 L1356.82 1574.19 L1356.82 1552.86 Q1356.82 1547.8 1354.85 1545.29 Q1352.88 1542.77 1348.93 1542.77 Q1344.19 1542.77 1341.45 1545.79 Q1338.71 1548.82 1338.71 1554.04 L1338.71 1574.19 L1332.83 1574.19 L1332.83 1524.66 L1338.71 1524.66 L1338.71 1544.08 Q1340.81 1540.86 1343.65 1539.27 Q1346.51 1537.68 1350.24 1537.68 Q1356.38 1537.68 1359.53 1541.5 Q1362.68 1545.29 1362.68 1552.67 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M1397.09 1539.59 L1397.09 1545.13 Q1394.6 1543.85 1391.93 1543.22 Q1389.26 1542.58 1386.39 1542.58 Q1382.03 1542.58 1379.84 1543.92 Q1377.67 1545.25 1377.67 1547.93 Q1377.67 1549.96 1379.23 1551.14 Q1380.79 1552.29 1385.5 1553.34 L1387.51 1553.78 Q1393.75 1555.12 1396.36 1557.57 Q1399 1559.99 1399 1564.35 Q1399 1569.32 1395.05 1572.21 Q1391.14 1575.11 1384.26 1575.11 Q1381.4 1575.11 1378.28 1574.54 Q1375.19 1573.99 1371.75 1572.88 L1371.75 1566.83 Q1375 1568.52 1378.15 1569.38 Q1381.3 1570.21 1384.39 1570.21 Q1388.53 1570.21 1390.75 1568.81 Q1392.98 1567.37 1392.98 1564.8 Q1392.98 1562.41 1391.36 1561.14 Q1389.77 1559.86 1384.32 1558.68 L1382.29 1558.21 Q1376.84 1557.06 1374.43 1554.71 Q1372.01 1552.32 1372.01 1548.18 Q1372.01 1543.15 1375.57 1540.42 Q1379.14 1537.68 1385.69 1537.68 Q1388.94 1537.68 1391.8 1538.16 Q1394.67 1538.63 1397.09 1539.59 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><polyline clip-path=\"url(#clip582)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:2; stroke-opacity:0.1; fill:none\" points=\"219.542,1365.47 2352.76,1365.47 \"/>\n",
+       "<polyline clip-path=\"url(#clip582)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:2; stroke-opacity:0.1; fill:none\" points=\"219.542,1084.15 2352.76,1084.15 \"/>\n",
+       "<polyline clip-path=\"url(#clip582)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:2; stroke-opacity:0.1; fill:none\" points=\"219.542,802.839 2352.76,802.839 \"/>\n",
+       "<polyline clip-path=\"url(#clip582)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:2; stroke-opacity:0.1; fill:none\" points=\"219.542,521.525 2352.76,521.525 \"/>\n",
+       "<polyline clip-path=\"url(#clip582)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:2; stroke-opacity:0.1; fill:none\" points=\"219.542,240.211 2352.76,240.211 \"/>\n",
+       "<polyline clip-path=\"url(#clip580)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"219.542,1410.9 219.542,47.2441 \"/>\n",
+       "<polyline clip-path=\"url(#clip580)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"219.542,1365.47 238.44,1365.47 \"/>\n",
+       "<polyline clip-path=\"url(#clip580)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"219.542,1084.15 238.44,1084.15 \"/>\n",
+       "<polyline clip-path=\"url(#clip580)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"219.542,802.839 238.44,802.839 \"/>\n",
+       "<polyline clip-path=\"url(#clip580)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"219.542,521.525 238.44,521.525 \"/>\n",
+       "<polyline clip-path=\"url(#clip580)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"219.542,240.211 238.44,240.211 \"/>\n",
+       "<path clip-path=\"url(#clip580)\" d=\"M126.205 1351.27 Q122.593 1351.27 120.765 1354.83 Q118.959 1358.37 118.959 1365.5 Q118.959 1372.61 120.765 1376.17 Q122.593 1379.71 126.205 1379.71 Q129.839 1379.71 131.644 1376.17 Q133.473 1372.61 133.473 1365.5 Q133.473 1358.37 131.644 1354.83 Q129.839 1351.27 126.205 1351.27 M126.205 1347.56 Q132.015 1347.56 135.07 1352.17 Q138.149 1356.75 138.149 1365.5 Q138.149 1374.23 135.07 1378.84 Q132.015 1383.42 126.205 1383.42 Q120.394 1383.42 117.316 1378.84 Q114.26 1374.23 114.26 1365.5 Q114.26 1356.75 117.316 1352.17 Q120.394 1347.56 126.205 1347.56 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M146.366 1376.87 L151.251 1376.87 L151.251 1382.75 L146.366 1382.75 L146.366 1376.87 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M172.014 1363.6 Q168.866 1363.6 167.015 1365.76 Q165.186 1367.91 165.186 1371.66 Q165.186 1375.39 167.015 1377.56 Q168.866 1379.71 172.014 1379.71 Q175.163 1379.71 176.991 1377.56 Q178.843 1375.39 178.843 1371.66 Q178.843 1367.91 176.991 1365.76 Q175.163 1363.6 172.014 1363.6 M181.297 1348.95 L181.297 1353.21 Q179.538 1352.38 177.732 1351.94 Q175.95 1351.5 174.19 1351.5 Q169.561 1351.5 167.107 1354.62 Q164.677 1357.75 164.329 1364.07 Q165.695 1362.05 167.755 1360.99 Q169.815 1359.9 172.292 1359.9 Q177.501 1359.9 180.51 1363.07 Q183.542 1366.22 183.542 1371.66 Q183.542 1376.98 180.394 1380.2 Q177.246 1383.42 172.014 1383.42 Q166.019 1383.42 162.848 1378.84 Q159.677 1374.23 159.677 1365.5 Q159.677 1357.31 163.565 1352.45 Q167.454 1347.56 174.005 1347.56 Q175.764 1347.56 177.547 1347.91 Q179.352 1348.26 181.297 1348.95 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M127.269 1069.95 Q123.658 1069.95 121.83 1073.52 Q120.024 1077.06 120.024 1084.19 Q120.024 1091.29 121.83 1094.86 Q123.658 1098.4 127.269 1098.4 Q130.904 1098.4 132.709 1094.86 Q134.538 1091.29 134.538 1084.19 Q134.538 1077.06 132.709 1073.52 Q130.904 1069.95 127.269 1069.95 M127.269 1066.25 Q133.08 1066.25 136.135 1070.85 Q139.214 1075.44 139.214 1084.19 Q139.214 1092.91 136.135 1097.52 Q133.08 1102.1 127.269 1102.1 Q121.459 1102.1 118.381 1097.52 Q115.325 1092.91 115.325 1084.19 Q115.325 1075.44 118.381 1070.85 Q121.459 1066.25 127.269 1066.25 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M147.431 1095.55 L152.316 1095.55 L152.316 1101.43 L147.431 1101.43 L147.431 1095.55 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M161.32 1066.87 L183.542 1066.87 L183.542 1068.86 L170.996 1101.43 L166.112 1101.43 L177.917 1070.81 L161.32 1070.81 L161.32 1066.87 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M126.459 788.638 Q122.848 788.638 121.019 792.203 Q119.214 795.744 119.214 802.874 Q119.214 809.98 121.019 813.545 Q122.848 817.087 126.459 817.087 Q130.093 817.087 131.899 813.545 Q133.728 809.98 133.728 802.874 Q133.728 795.744 131.899 792.203 Q130.093 788.638 126.459 788.638 M126.459 784.934 Q132.269 784.934 135.325 789.541 Q138.404 794.124 138.404 802.874 Q138.404 811.601 135.325 816.207 Q132.269 820.79 126.459 820.79 Q120.649 820.79 117.57 816.207 Q114.515 811.601 114.515 802.874 Q114.515 794.124 117.57 789.541 Q120.649 784.934 126.459 784.934 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M146.621 814.239 L151.505 814.239 L151.505 820.119 L146.621 820.119 L146.621 814.239 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M171.69 803.707 Q168.357 803.707 166.436 805.49 Q164.538 807.272 164.538 810.397 Q164.538 813.522 166.436 815.304 Q168.357 817.087 171.69 817.087 Q175.024 817.087 176.945 815.304 Q178.866 813.499 178.866 810.397 Q178.866 807.272 176.945 805.49 Q175.047 803.707 171.69 803.707 M167.015 801.716 Q164.005 800.976 162.315 798.915 Q160.649 796.855 160.649 793.892 Q160.649 789.749 163.589 787.341 Q166.552 784.934 171.69 784.934 Q176.852 784.934 179.792 787.341 Q182.732 789.749 182.732 793.892 Q182.732 796.855 181.042 798.915 Q179.376 800.976 176.389 801.716 Q179.769 802.503 181.644 804.795 Q183.542 807.087 183.542 810.397 Q183.542 815.42 180.464 818.105 Q177.408 820.79 171.69 820.79 Q165.973 820.79 162.894 818.105 Q159.839 815.42 159.839 810.397 Q159.839 807.087 161.737 804.795 Q163.635 802.503 167.015 801.716 M165.302 794.332 Q165.302 797.017 166.968 798.522 Q168.658 800.027 171.69 800.027 Q174.7 800.027 176.389 798.522 Q178.102 797.017 178.102 794.332 Q178.102 791.647 176.389 790.142 Q174.7 788.638 171.69 788.638 Q168.658 788.638 166.968 790.142 Q165.302 791.647 165.302 794.332 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M126.552 507.324 Q122.941 507.324 121.112 510.888 Q119.306 514.43 119.306 521.56 Q119.306 528.666 121.112 532.231 Q122.941 535.773 126.552 535.773 Q130.186 535.773 131.992 532.231 Q133.82 528.666 133.82 521.56 Q133.82 514.43 131.992 510.888 Q130.186 507.324 126.552 507.324 M126.552 503.62 Q132.362 503.62 135.417 508.226 Q138.496 512.81 138.496 521.56 Q138.496 530.286 135.417 534.893 Q132.362 539.476 126.552 539.476 Q120.742 539.476 117.663 534.893 Q114.607 530.286 114.607 521.56 Q114.607 512.81 117.663 508.226 Q120.742 503.62 126.552 503.62 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M146.714 532.925 L151.598 532.925 L151.598 538.805 L146.714 538.805 L146.714 532.925 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M161.922 538.087 L161.922 533.828 Q163.681 534.661 165.487 535.101 Q167.292 535.541 169.028 535.541 Q173.658 535.541 176.089 532.439 Q178.542 529.314 178.889 522.972 Q177.547 524.962 175.487 526.027 Q173.427 527.092 170.927 527.092 Q165.741 527.092 162.709 523.967 Q159.7 520.819 159.7 515.379 Q159.7 510.055 162.848 506.838 Q165.996 503.62 171.227 503.62 Q177.223 503.62 180.371 508.226 Q183.542 512.81 183.542 521.56 Q183.542 529.731 179.653 534.615 Q175.788 539.476 169.237 539.476 Q167.477 539.476 165.672 539.129 Q163.866 538.782 161.922 538.087 M171.227 523.435 Q174.376 523.435 176.204 521.282 Q178.056 519.129 178.056 515.379 Q178.056 511.652 176.204 509.5 Q174.376 507.324 171.227 507.324 Q168.079 507.324 166.227 509.5 Q164.399 511.652 164.399 515.379 Q164.399 519.129 166.227 521.282 Q168.079 523.435 171.227 523.435 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M117.177 253.556 L124.816 253.556 L124.816 227.19 L116.506 228.857 L116.506 224.597 L124.769 222.931 L129.445 222.931 L129.445 253.556 L137.084 253.556 L137.084 257.491 L117.177 257.491 L117.177 253.556 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M146.529 251.611 L151.413 251.611 L151.413 257.491 L146.529 257.491 L146.529 251.611 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M171.598 226.009 Q167.987 226.009 166.158 229.574 Q164.352 233.116 164.352 240.246 Q164.352 247.352 166.158 250.917 Q167.987 254.458 171.598 254.458 Q175.232 254.458 177.038 250.917 Q178.866 247.352 178.866 240.246 Q178.866 233.116 177.038 229.574 Q175.232 226.009 171.598 226.009 M171.598 222.306 Q177.408 222.306 180.464 226.912 Q183.542 231.496 183.542 240.246 Q183.542 248.972 180.464 253.579 Q177.408 258.162 171.598 258.162 Q165.788 258.162 162.709 253.579 Q159.653 248.972 159.653 240.246 Q159.653 231.496 162.709 226.912 Q165.788 222.306 171.598 222.306 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M20.1444 914.281 L26.9239 914.281 Q23.9002 917.527 22.4043 921.219 Q20.9083 924.88 20.9083 929.017 Q20.9083 937.165 25.9054 941.494 Q30.8707 945.823 40.2919 945.823 Q49.6813 945.823 54.6784 941.494 Q59.6436 937.165 59.6436 929.017 Q59.6436 924.88 58.1477 921.219 Q56.6518 917.527 53.6281 914.281 L60.3439 914.281 Q62.6355 917.654 63.7814 921.442 Q64.9272 925.198 64.9272 929.399 Q64.9272 940.189 58.3387 946.396 Q51.7183 952.602 40.2919 952.602 Q28.8336 952.602 22.2451 946.396 Q15.6248 940.189 15.6248 929.399 Q15.6248 925.134 16.7706 921.378 Q17.8846 917.591 20.1444 914.281 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M33.8307 883.948 Q33.2578 884.935 33.0032 886.112 Q32.7167 887.258 32.7167 888.659 Q32.7167 893.624 35.9632 896.297 Q39.1779 898.939 45.2253 898.939 L64.0042 898.939 L64.0042 904.828 L28.3562 904.828 L28.3562 898.939 L33.8944 898.939 Q30.6479 897.093 29.0883 894.133 Q27.4968 891.173 27.4968 886.94 Q27.4968 886.335 27.5923 885.603 Q27.656 884.871 27.8151 883.98 L33.8307 883.948 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M32.4621 865.424 Q32.4621 870.134 36.1542 872.872 Q39.8145 875.609 46.212 875.609 Q52.6095 875.609 56.3017 872.904 Q59.9619 870.166 59.9619 865.424 Q59.9619 860.745 56.2698 858.008 Q52.5777 855.271 46.212 855.271 Q39.8781 855.271 36.186 858.008 Q32.4621 860.745 32.4621 865.424 M27.4968 865.424 Q27.4968 857.785 32.4621 853.424 Q37.4273 849.064 46.212 849.064 Q54.9649 849.064 59.9619 853.424 Q64.9272 857.785 64.9272 865.424 Q64.9272 873.094 59.9619 877.455 Q54.9649 881.784 46.212 881.784 Q37.4273 881.784 32.4621 877.455 Q27.4968 873.094 27.4968 865.424 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M29.4065 816.631 L34.9447 816.631 Q33.6716 819.113 33.035 821.787 Q32.3984 824.46 32.3984 827.325 Q32.3984 831.686 33.7352 833.882 Q35.072 836.046 37.7456 836.046 Q39.7826 836.046 40.9603 834.486 Q42.1061 832.927 43.1565 828.216 L43.6021 826.211 Q44.9389 819.973 47.3897 817.363 Q49.8086 814.721 54.1691 814.721 Q59.1344 814.721 62.0308 818.668 Q64.9272 822.583 64.9272 829.458 Q64.9272 832.322 64.3543 835.441 Q63.8132 838.529 62.6992 841.966 L56.6518 841.966 Q58.3387 838.72 59.198 835.569 Q60.0256 832.418 60.0256 829.33 Q60.0256 825.193 58.6251 822.965 Q57.1929 820.737 54.6147 820.737 Q52.2276 820.737 50.9545 822.36 Q49.6813 823.951 48.5037 829.394 L48.0262 831.431 Q46.8804 836.874 44.5251 839.293 Q42.138 841.712 38.0002 841.712 Q32.9713 841.712 30.2341 838.147 Q27.4968 834.582 27.4968 828.025 Q27.4968 824.779 27.9743 821.914 Q28.4517 819.05 29.4065 816.631 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M29.4065 782.67 L34.9447 782.67 Q33.6716 785.152 33.035 787.826 Q32.3984 790.499 32.3984 793.364 Q32.3984 797.725 33.7352 799.921 Q35.072 802.085 37.7456 802.085 Q39.7826 802.085 40.9603 800.525 Q42.1061 798.966 43.1565 794.255 L43.6021 792.25 Q44.9389 786.012 47.3897 783.402 Q49.8086 780.76 54.1691 780.76 Q59.1344 780.76 62.0308 784.707 Q64.9272 788.622 64.9272 795.497 Q64.9272 798.361 64.3543 801.48 Q63.8132 804.568 62.6992 808.005 L56.6518 808.005 Q58.3387 804.759 59.198 801.608 Q60.0256 798.457 60.0256 795.369 Q60.0256 791.231 58.6251 789.003 Q57.1929 786.775 54.6147 786.775 Q52.2276 786.775 50.9545 788.399 Q49.6813 789.99 48.5037 795.433 L48.0262 797.47 Q46.8804 802.913 44.5251 805.332 Q42.138 807.751 38.0002 807.751 Q32.9713 807.751 30.2341 804.186 Q27.4968 800.621 27.4968 794.064 Q27.4968 790.818 27.9743 787.953 Q28.4517 785.089 29.4065 782.67 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M16.4842 750.459 L16.4842 720.413 L21.895 720.413 L21.895 744.03 L35.9632 744.03 L35.9632 721.4 L41.3741 721.4 L41.3741 744.03 L58.5933 744.03 L58.5933 719.84 L64.0042 719.84 L64.0042 750.459 L16.4842 750.459 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M42.4881 679.895 L64.0042 679.895 L64.0042 685.752 L42.679 685.752 Q37.6183 685.752 35.1038 687.725 Q32.5894 689.698 32.5894 693.645 Q32.5894 698.388 35.6131 701.125 Q38.6368 703.862 43.8567 703.862 L64.0042 703.862 L64.0042 709.75 L28.3562 709.75 L28.3562 703.862 L33.8944 703.862 Q30.6797 701.761 29.0883 698.929 Q27.4968 696.064 27.4968 692.34 Q27.4968 686.197 31.3163 683.046 Q35.1038 679.895 42.4881 679.895 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M18.2347 662.421 L28.3562 662.421 L28.3562 650.358 L32.9077 650.358 L32.9077 662.421 L52.2594 662.421 Q56.6199 662.421 57.8613 661.244 Q59.1026 660.034 59.1026 656.374 L59.1026 650.358 L64.0042 650.358 L64.0042 656.374 Q64.0042 663.153 61.4897 665.732 Q58.9434 668.31 52.2594 668.31 L32.9077 668.31 L32.9077 672.607 L28.3562 672.607 L28.3562 668.31 L18.2347 668.31 L18.2347 662.421 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M33.8307 621.999 Q33.2578 622.986 33.0032 624.164 Q32.7167 625.309 32.7167 626.71 Q32.7167 631.675 35.9632 634.349 Q39.1779 636.99 45.2253 636.99 L64.0042 636.99 L64.0042 642.879 L28.3562 642.879 L28.3562 636.99 L33.8944 636.99 Q30.6479 635.144 29.0883 632.184 Q27.4968 629.224 27.4968 624.991 Q27.4968 624.386 27.5923 623.654 Q27.656 622.922 27.8151 622.031 L33.8307 621.999 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M32.4621 603.475 Q32.4621 608.186 36.1542 610.923 Q39.8145 613.66 46.212 613.66 Q52.6095 613.66 56.3017 610.955 Q59.9619 608.217 59.9619 603.475 Q59.9619 598.796 56.2698 596.059 Q52.5777 593.322 46.212 593.322 Q39.8781 593.322 36.186 596.059 Q32.4621 598.796 32.4621 603.475 M27.4968 603.475 Q27.4968 595.836 32.4621 591.476 Q37.4273 587.115 46.212 587.115 Q54.9649 587.115 59.9619 591.476 Q64.9272 595.836 64.9272 603.475 Q64.9272 611.146 59.9619 615.506 Q54.9649 619.835 46.212 619.835 Q37.4273 619.835 32.4621 615.506 Q27.4968 611.146 27.4968 603.475 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M58.657 571.742 L77.5631 571.742 L77.5631 577.63 L28.3562 577.63 L28.3562 571.742 L33.7671 571.742 Q30.5842 569.896 29.0564 567.095 Q27.4968 564.262 27.4968 560.347 Q27.4968 553.854 32.6531 549.812 Q37.8093 545.738 46.212 545.738 Q54.6147 545.738 59.771 549.812 Q64.9272 553.854 64.9272 560.347 Q64.9272 564.262 63.3994 567.095 Q61.8398 569.896 58.657 571.742 M46.212 551.817 Q39.7508 551.817 36.0905 554.491 Q32.3984 557.133 32.3984 561.78 Q32.3984 566.427 36.0905 569.1 Q39.7508 571.742 46.212 571.742 Q52.6732 571.742 56.3653 569.1 Q60.0256 566.427 60.0256 561.78 Q60.0256 557.133 56.3653 554.491 Q52.6732 551.817 46.212 551.817 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M67.3143 521.198 Q73.68 523.681 75.6216 526.036 Q77.5631 528.391 77.5631 532.338 L77.5631 537.017 L72.6615 537.017 L72.6615 533.58 Q72.6615 531.161 71.5157 529.824 Q70.3699 528.487 66.1048 526.864 L63.4312 525.813 L28.3562 540.232 L28.3562 534.025 L56.238 522.885 L28.3562 511.745 L28.3562 505.539 L67.3143 521.198 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><polyline clip-path=\"url(#clip582)\" style=\"stroke:#009af9; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"279.916,85.838 543.195,183.57 697.203,934.611 806.474,1089.07 891.231,1124.21 960.482,1151.53 1019.03,1172.17 1114.49,1220.79 1190.71,1228.88 1254.16,1235.01 1308.52,1273.57 1398.31,1250.6 1453.99,1282.61 1531.78,1290.31 1596.31,1296.79 1671.45,1316.52 1734.15,1328.86 1808.87,1312.42 1876.99,1316.39 1944.35,1326.09 2013.6,1347.46 2085.48,1353.07 2154.18,1362.38 2223.89,1369.4 2292.38,1372.3 \"/>\n",
+       "<path clip-path=\"url(#clip580)\" d=\"M2015.9 196.379 L2281.65 196.379 L2281.65 92.6992 L2015.9 92.6992  Z\" fill=\"#ffffff\" fill-rule=\"evenodd\" fill-opacity=\"1\"/>\n",
+       "<polyline clip-path=\"url(#clip580)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"2015.9,196.379 2281.65,196.379 2281.65,92.6992 2015.9,92.6992 2015.9,196.379 \"/>\n",
+       "<polyline clip-path=\"url(#clip580)\" style=\"stroke:#009af9; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"2039.6,144.539 2181.81,144.539 \"/>\n",
+       "<path clip-path=\"url(#clip580)\" d=\"M2219.36 164.227 Q2217.55 168.856 2215.84 170.268 Q2214.13 171.68 2211.26 171.68 L2207.85 171.68 L2207.85 168.115 L2210.35 168.115 Q2212.11 168.115 2213.09 167.282 Q2214.06 166.449 2215.24 163.347 L2216 161.403 L2205.52 135.893 L2210.03 135.893 L2218.13 156.171 L2226.23 135.893 L2230.75 135.893 L2219.36 164.227 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip580)\" d=\"M2238.04 157.884 L2245.68 157.884 L2245.68 131.518 L2237.37 133.185 L2237.37 128.926 L2245.63 127.259 L2250.31 127.259 L2250.31 157.884 L2257.95 157.884 L2257.95 161.819 L2238.04 161.819 L2238.04 157.884 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /></svg>\n"
+      ],
+      "text/html": [
+       "<?xml version=\"1.0\" encoding=\"utf-8\"?>\n",
+       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"600\" height=\"400\" viewBox=\"0 0 2400 1600\">\n",
+       "<defs>\n",
+       "  <clipPath id=\"clip630\">\n",
+       "    <rect x=\"0\" y=\"0\" width=\"2400\" height=\"1600\"/>\n",
+       "  </clipPath>\n",
+       "</defs>\n",
+       "<path clip-path=\"url(#clip630)\" d=\"M0 1600 L2400 1600 L2400 0 L0 0  Z\" fill=\"#ffffff\" fill-rule=\"evenodd\" fill-opacity=\"1\"/>\n",
+       "<defs>\n",
+       "  <clipPath id=\"clip631\">\n",
+       "    <rect x=\"480\" y=\"0\" width=\"1681\" height=\"1600\"/>\n",
+       "  </clipPath>\n",
+       "</defs>\n",
+       "<path clip-path=\"url(#clip630)\" d=\"M219.542 1410.9 L2352.76 1410.9 L2352.76 47.2441 L219.542 47.2441  Z\" fill=\"#ffffff\" fill-rule=\"evenodd\" fill-opacity=\"1\"/>\n",
+       "<defs>\n",
+       "  <clipPath id=\"clip632\">\n",
+       "    <rect x=\"219\" y=\"47\" width=\"2134\" height=\"1365\"/>\n",
+       "  </clipPath>\n",
+       "</defs>\n",
+       "<polyline clip-path=\"url(#clip632)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:2; stroke-opacity:0.1; fill:none\" points=\"279.916,1410.9 279.916,47.2441 \"/>\n",
+       "<polyline clip-path=\"url(#clip632)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:2; stroke-opacity:0.1; fill:none\" points=\"1154.51,1410.9 1154.51,47.2441 \"/>\n",
+       "<polyline clip-path=\"url(#clip632)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:2; stroke-opacity:0.1; fill:none\" points=\"2029.1,1410.9 2029.1,47.2441 \"/>\n",
+       "<polyline clip-path=\"url(#clip630)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"219.542,1410.9 2352.76,1410.9 \"/>\n",
+       "<polyline clip-path=\"url(#clip630)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"279.916,1410.9 279.916,1392 \"/>\n",
+       "<polyline clip-path=\"url(#clip630)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"1154.51,1410.9 1154.51,1392 \"/>\n",
+       "<polyline clip-path=\"url(#clip630)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"2029.1,1410.9 2029.1,1392 \"/>\n",
+       "<path clip-path=\"url(#clip630)\" d=\"M244.899 1485.02 L252.538 1485.02 L252.538 1458.66 L244.228 1460.32 L244.228 1456.06 L252.492 1454.4 L257.167 1454.4 L257.167 1485.02 L264.806 1485.02 L264.806 1488.96 L244.899 1488.96 L244.899 1485.02 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M284.251 1457.48 Q280.64 1457.48 278.811 1461.04 Q277.005 1464.58 277.005 1471.71 Q277.005 1478.82 278.811 1482.38 Q280.64 1485.92 284.251 1485.92 Q287.885 1485.92 289.69 1482.38 Q291.519 1478.82 291.519 1471.71 Q291.519 1464.58 289.69 1461.04 Q287.885 1457.48 284.251 1457.48 M284.251 1453.77 Q290.061 1453.77 293.116 1458.38 Q296.195 1462.96 296.195 1471.71 Q296.195 1480.44 293.116 1485.04 Q290.061 1489.63 284.251 1489.63 Q278.44 1489.63 275.362 1485.04 Q272.306 1480.44 272.306 1471.71 Q272.306 1462.96 275.362 1458.38 Q278.44 1453.77 284.251 1453.77 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M305.9 1435.97 Q302.966 1435.97 301.48 1438.86 Q300.013 1441.74 300.013 1447.53 Q300.013 1453.31 301.48 1456.2 Q302.966 1459.08 305.9 1459.08 Q308.853 1459.08 310.32 1456.2 Q311.805 1453.31 311.805 1447.53 Q311.805 1441.74 310.32 1438.86 Q308.853 1435.97 305.9 1435.97 M305.9 1432.96 Q310.621 1432.96 313.103 1436.7 Q315.605 1440.43 315.605 1447.53 Q315.605 1454.62 313.103 1458.37 Q310.621 1462.09 305.9 1462.09 Q301.179 1462.09 298.678 1458.37 Q296.195 1454.62 296.195 1447.53 Q296.195 1440.43 298.678 1436.7 Q301.179 1432.96 305.9 1432.96 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M1120.84 1485.02 L1128.48 1485.02 L1128.48 1458.66 L1120.17 1460.32 L1120.17 1456.06 L1128.43 1454.4 L1133.11 1454.4 L1133.11 1485.02 L1140.74 1485.02 L1140.74 1488.96 L1120.84 1488.96 L1120.84 1485.02 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M1160.19 1457.48 Q1156.58 1457.48 1154.75 1461.04 Q1152.94 1464.58 1152.94 1471.71 Q1152.94 1478.82 1154.75 1482.38 Q1156.58 1485.92 1160.19 1485.92 Q1163.82 1485.92 1165.63 1482.38 Q1167.46 1478.82 1167.46 1471.71 Q1167.46 1464.58 1165.63 1461.04 Q1163.82 1457.48 1160.19 1457.48 M1160.19 1453.77 Q1166 1453.77 1169.05 1458.38 Q1172.13 1462.96 1172.13 1471.71 Q1172.13 1480.44 1169.05 1485.04 Q1166 1489.63 1160.19 1489.63 Q1154.38 1489.63 1151.3 1485.04 Q1148.24 1480.44 1148.24 1471.71 Q1148.24 1462.96 1151.3 1458.38 Q1154.38 1453.77 1160.19 1453.77 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M1172.68 1458.35 L1178.89 1458.35 L1178.89 1436.93 L1172.13 1438.28 L1172.13 1434.82 L1178.85 1433.47 L1182.65 1433.47 L1182.65 1458.35 L1188.85 1458.35 L1188.85 1461.55 L1172.68 1461.55 L1172.68 1458.35 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M1994.88 1485.02 L2002.51 1485.02 L2002.51 1458.66 L1994.2 1460.32 L1994.2 1456.06 L2002.47 1454.4 L2007.14 1454.4 L2007.14 1485.02 L2014.78 1485.02 L2014.78 1488.96 L1994.88 1488.96 L1994.88 1485.02 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M2034.23 1457.48 Q2030.62 1457.48 2028.79 1461.04 Q2026.98 1464.58 2026.98 1471.71 Q2026.98 1478.82 2028.79 1482.38 Q2030.62 1485.92 2034.23 1485.92 Q2037.86 1485.92 2039.67 1482.38 Q2041.5 1478.82 2041.5 1471.71 Q2041.5 1464.58 2039.67 1461.04 Q2037.86 1457.48 2034.23 1457.48 M2034.23 1453.77 Q2040.04 1453.77 2043.09 1458.38 Q2046.17 1462.96 2046.17 1471.71 Q2046.17 1480.44 2043.09 1485.04 Q2040.04 1489.63 2034.23 1489.63 Q2028.42 1489.63 2025.34 1485.04 Q2022.28 1480.44 2022.28 1471.71 Q2022.28 1462.96 2025.34 1458.38 Q2028.42 1453.77 2034.23 1453.77 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M2050.74 1458.35 L2064 1458.35 L2064 1461.55 L2046.17 1461.55 L2046.17 1458.35 Q2048.33 1456.11 2052.06 1452.35 Q2055.8 1448.57 2056.76 1447.48 Q2058.58 1445.43 2059.3 1444.02 Q2060.03 1442.59 2060.03 1441.22 Q2060.03 1438.98 2058.45 1437.57 Q2056.89 1436.16 2054.37 1436.16 Q2052.59 1436.16 2050.59 1436.78 Q2048.62 1437.4 2046.36 1438.66 L2046.36 1434.82 Q2048.65 1433.9 2050.65 1433.43 Q2052.64 1432.96 2054.3 1432.96 Q2058.66 1432.96 2061.26 1435.14 Q2063.85 1437.32 2063.85 1440.97 Q2063.85 1442.7 2063.19 1444.26 Q2062.55 1445.8 2060.84 1447.91 Q2060.37 1448.46 2057.85 1451.07 Q2055.33 1453.67 2050.74 1458.35 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M1206.34 1554.9 L1206.34 1557.76 L1179.41 1557.76 Q1179.79 1563.81 1183.04 1566.99 Q1186.32 1570.14 1192.14 1570.14 Q1195.52 1570.14 1198.67 1569.32 Q1201.85 1568.49 1204.97 1566.83 L1204.97 1572.37 Q1201.82 1573.71 1198.51 1574.41 Q1195.2 1575.11 1191.79 1575.11 Q1183.26 1575.11 1178.27 1570.14 Q1173.3 1565.18 1173.3 1556.71 Q1173.3 1547.96 1178.01 1542.83 Q1182.75 1537.68 1190.77 1537.68 Q1197.97 1537.68 1202.14 1542.33 Q1206.34 1546.94 1206.34 1554.9 M1200.48 1553.18 Q1200.42 1548.37 1197.78 1545.51 Q1195.17 1542.64 1190.84 1542.64 Q1185.94 1542.64 1182.98 1545.41 Q1180.05 1548.18 1179.6 1553.21 L1200.48 1553.18 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M1221.62 1568.84 L1221.62 1587.74 L1215.73 1587.74 L1215.73 1538.54 L1221.62 1538.54 L1221.62 1543.95 Q1223.46 1540.77 1226.26 1539.24 Q1229.1 1537.68 1233.01 1537.68 Q1239.5 1537.68 1243.55 1542.83 Q1247.62 1547.99 1247.62 1556.39 Q1247.62 1564.8 1243.55 1569.95 Q1239.5 1575.11 1233.01 1575.11 Q1229.1 1575.11 1226.26 1573.58 Q1223.46 1572.02 1221.62 1568.84 M1241.54 1556.39 Q1241.54 1549.93 1238.87 1546.27 Q1236.23 1542.58 1231.58 1542.58 Q1226.93 1542.58 1224.26 1546.27 Q1221.62 1549.93 1221.62 1556.39 Q1221.62 1562.85 1224.26 1566.55 Q1226.93 1570.21 1231.58 1570.21 Q1236.23 1570.21 1238.87 1566.55 Q1241.54 1562.85 1241.54 1556.39 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M1271.14 1542.64 Q1266.43 1542.64 1263.69 1546.34 Q1260.96 1550 1260.96 1556.39 Q1260.96 1562.79 1263.66 1566.48 Q1266.4 1570.14 1271.14 1570.14 Q1275.82 1570.14 1278.56 1566.45 Q1281.3 1562.76 1281.3 1556.39 Q1281.3 1550.06 1278.56 1546.37 Q1275.82 1542.64 1271.14 1542.64 M1271.14 1537.68 Q1278.78 1537.68 1283.14 1542.64 Q1287.5 1547.61 1287.5 1556.39 Q1287.5 1565.15 1283.14 1570.14 Q1278.78 1575.11 1271.14 1575.11 Q1263.47 1575.11 1259.11 1570.14 Q1254.78 1565.15 1254.78 1556.39 Q1254.78 1547.61 1259.11 1542.64 Q1263.47 1537.68 1271.14 1537.68 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M1322.86 1539.91 L1322.86 1545.38 Q1320.38 1544.01 1317.87 1543.34 Q1315.38 1542.64 1312.84 1542.64 Q1307.14 1542.64 1303.99 1546.27 Q1300.84 1549.87 1300.84 1556.39 Q1300.84 1562.92 1303.99 1566.55 Q1307.14 1570.14 1312.84 1570.14 Q1315.38 1570.14 1317.87 1569.47 Q1320.38 1568.77 1322.86 1567.41 L1322.86 1572.82 Q1320.41 1573.96 1317.77 1574.54 Q1315.16 1575.11 1312.2 1575.11 Q1304.15 1575.11 1299.41 1570.05 Q1294.66 1564.99 1294.66 1556.39 Q1294.66 1547.67 1299.44 1542.68 Q1304.24 1537.68 1312.58 1537.68 Q1315.29 1537.68 1317.87 1538.25 Q1320.44 1538.79 1322.86 1539.91 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M1362.68 1552.67 L1362.68 1574.19 L1356.82 1574.19 L1356.82 1552.86 Q1356.82 1547.8 1354.85 1545.29 Q1352.88 1542.77 1348.93 1542.77 Q1344.19 1542.77 1341.45 1545.79 Q1338.71 1548.82 1338.71 1554.04 L1338.71 1574.19 L1332.83 1574.19 L1332.83 1524.66 L1338.71 1524.66 L1338.71 1544.08 Q1340.81 1540.86 1343.65 1539.27 Q1346.51 1537.68 1350.24 1537.68 Q1356.38 1537.68 1359.53 1541.5 Q1362.68 1545.29 1362.68 1552.67 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M1397.09 1539.59 L1397.09 1545.13 Q1394.6 1543.85 1391.93 1543.22 Q1389.26 1542.58 1386.39 1542.58 Q1382.03 1542.58 1379.84 1543.92 Q1377.67 1545.25 1377.67 1547.93 Q1377.67 1549.96 1379.23 1551.14 Q1380.79 1552.29 1385.5 1553.34 L1387.51 1553.78 Q1393.75 1555.12 1396.36 1557.57 Q1399 1559.99 1399 1564.35 Q1399 1569.32 1395.05 1572.21 Q1391.14 1575.11 1384.26 1575.11 Q1381.4 1575.11 1378.28 1574.54 Q1375.19 1573.99 1371.75 1572.88 L1371.75 1566.83 Q1375 1568.52 1378.15 1569.38 Q1381.3 1570.21 1384.39 1570.21 Q1388.53 1570.21 1390.75 1568.81 Q1392.98 1567.37 1392.98 1564.8 Q1392.98 1562.41 1391.36 1561.14 Q1389.77 1559.86 1384.32 1558.68 L1382.29 1558.21 Q1376.84 1557.06 1374.43 1554.71 Q1372.01 1552.32 1372.01 1548.18 Q1372.01 1543.15 1375.57 1540.42 Q1379.14 1537.68 1385.69 1537.68 Q1388.94 1537.68 1391.8 1538.16 Q1394.67 1538.63 1397.09 1539.59 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><polyline clip-path=\"url(#clip632)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:2; stroke-opacity:0.1; fill:none\" points=\"219.542,1365.47 2352.76,1365.47 \"/>\n",
+       "<polyline clip-path=\"url(#clip632)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:2; stroke-opacity:0.1; fill:none\" points=\"219.542,1084.15 2352.76,1084.15 \"/>\n",
+       "<polyline clip-path=\"url(#clip632)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:2; stroke-opacity:0.1; fill:none\" points=\"219.542,802.839 2352.76,802.839 \"/>\n",
+       "<polyline clip-path=\"url(#clip632)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:2; stroke-opacity:0.1; fill:none\" points=\"219.542,521.525 2352.76,521.525 \"/>\n",
+       "<polyline clip-path=\"url(#clip632)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:2; stroke-opacity:0.1; fill:none\" points=\"219.542,240.211 2352.76,240.211 \"/>\n",
+       "<polyline clip-path=\"url(#clip630)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"219.542,1410.9 219.542,47.2441 \"/>\n",
+       "<polyline clip-path=\"url(#clip630)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"219.542,1365.47 238.44,1365.47 \"/>\n",
+       "<polyline clip-path=\"url(#clip630)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"219.542,1084.15 238.44,1084.15 \"/>\n",
+       "<polyline clip-path=\"url(#clip630)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"219.542,802.839 238.44,802.839 \"/>\n",
+       "<polyline clip-path=\"url(#clip630)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"219.542,521.525 238.44,521.525 \"/>\n",
+       "<polyline clip-path=\"url(#clip630)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"219.542,240.211 238.44,240.211 \"/>\n",
+       "<path clip-path=\"url(#clip630)\" d=\"M126.205 1351.27 Q122.593 1351.27 120.765 1354.83 Q118.959 1358.37 118.959 1365.5 Q118.959 1372.61 120.765 1376.17 Q122.593 1379.71 126.205 1379.71 Q129.839 1379.71 131.644 1376.17 Q133.473 1372.61 133.473 1365.5 Q133.473 1358.37 131.644 1354.83 Q129.839 1351.27 126.205 1351.27 M126.205 1347.56 Q132.015 1347.56 135.07 1352.17 Q138.149 1356.75 138.149 1365.5 Q138.149 1374.23 135.07 1378.84 Q132.015 1383.42 126.205 1383.42 Q120.394 1383.42 117.316 1378.84 Q114.26 1374.23 114.26 1365.5 Q114.26 1356.75 117.316 1352.17 Q120.394 1347.56 126.205 1347.56 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M146.366 1376.87 L151.251 1376.87 L151.251 1382.75 L146.366 1382.75 L146.366 1376.87 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M172.014 1363.6 Q168.866 1363.6 167.015 1365.76 Q165.186 1367.91 165.186 1371.66 Q165.186 1375.39 167.015 1377.56 Q168.866 1379.71 172.014 1379.71 Q175.163 1379.71 176.991 1377.56 Q178.843 1375.39 178.843 1371.66 Q178.843 1367.91 176.991 1365.76 Q175.163 1363.6 172.014 1363.6 M181.297 1348.95 L181.297 1353.21 Q179.538 1352.38 177.732 1351.94 Q175.95 1351.5 174.19 1351.5 Q169.561 1351.5 167.107 1354.62 Q164.677 1357.75 164.329 1364.07 Q165.695 1362.05 167.755 1360.99 Q169.815 1359.9 172.292 1359.9 Q177.501 1359.9 180.51 1363.07 Q183.542 1366.22 183.542 1371.66 Q183.542 1376.98 180.394 1380.2 Q177.246 1383.42 172.014 1383.42 Q166.019 1383.42 162.848 1378.84 Q159.677 1374.23 159.677 1365.5 Q159.677 1357.31 163.565 1352.45 Q167.454 1347.56 174.005 1347.56 Q175.764 1347.56 177.547 1347.91 Q179.352 1348.26 181.297 1348.95 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M127.269 1069.95 Q123.658 1069.95 121.83 1073.52 Q120.024 1077.06 120.024 1084.19 Q120.024 1091.29 121.83 1094.86 Q123.658 1098.4 127.269 1098.4 Q130.904 1098.4 132.709 1094.86 Q134.538 1091.29 134.538 1084.19 Q134.538 1077.06 132.709 1073.52 Q130.904 1069.95 127.269 1069.95 M127.269 1066.25 Q133.08 1066.25 136.135 1070.85 Q139.214 1075.44 139.214 1084.19 Q139.214 1092.91 136.135 1097.52 Q133.08 1102.1 127.269 1102.1 Q121.459 1102.1 118.381 1097.52 Q115.325 1092.91 115.325 1084.19 Q115.325 1075.44 118.381 1070.85 Q121.459 1066.25 127.269 1066.25 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M147.431 1095.55 L152.316 1095.55 L152.316 1101.43 L147.431 1101.43 L147.431 1095.55 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M161.32 1066.87 L183.542 1066.87 L183.542 1068.86 L170.996 1101.43 L166.112 1101.43 L177.917 1070.81 L161.32 1070.81 L161.32 1066.87 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M126.459 788.638 Q122.848 788.638 121.019 792.203 Q119.214 795.744 119.214 802.874 Q119.214 809.98 121.019 813.545 Q122.848 817.087 126.459 817.087 Q130.093 817.087 131.899 813.545 Q133.728 809.98 133.728 802.874 Q133.728 795.744 131.899 792.203 Q130.093 788.638 126.459 788.638 M126.459 784.934 Q132.269 784.934 135.325 789.541 Q138.404 794.124 138.404 802.874 Q138.404 811.601 135.325 816.207 Q132.269 820.79 126.459 820.79 Q120.649 820.79 117.57 816.207 Q114.515 811.601 114.515 802.874 Q114.515 794.124 117.57 789.541 Q120.649 784.934 126.459 784.934 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M146.621 814.239 L151.505 814.239 L151.505 820.119 L146.621 820.119 L146.621 814.239 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M171.69 803.707 Q168.357 803.707 166.436 805.49 Q164.538 807.272 164.538 810.397 Q164.538 813.522 166.436 815.304 Q168.357 817.087 171.69 817.087 Q175.024 817.087 176.945 815.304 Q178.866 813.499 178.866 810.397 Q178.866 807.272 176.945 805.49 Q175.047 803.707 171.69 803.707 M167.015 801.716 Q164.005 800.976 162.315 798.915 Q160.649 796.855 160.649 793.892 Q160.649 789.749 163.589 787.341 Q166.552 784.934 171.69 784.934 Q176.852 784.934 179.792 787.341 Q182.732 789.749 182.732 793.892 Q182.732 796.855 181.042 798.915 Q179.376 800.976 176.389 801.716 Q179.769 802.503 181.644 804.795 Q183.542 807.087 183.542 810.397 Q183.542 815.42 180.464 818.105 Q177.408 820.79 171.69 820.79 Q165.973 820.79 162.894 818.105 Q159.839 815.42 159.839 810.397 Q159.839 807.087 161.737 804.795 Q163.635 802.503 167.015 801.716 M165.302 794.332 Q165.302 797.017 166.968 798.522 Q168.658 800.027 171.69 800.027 Q174.7 800.027 176.389 798.522 Q178.102 797.017 178.102 794.332 Q178.102 791.647 176.389 790.142 Q174.7 788.638 171.69 788.638 Q168.658 788.638 166.968 790.142 Q165.302 791.647 165.302 794.332 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M126.552 507.324 Q122.941 507.324 121.112 510.888 Q119.306 514.43 119.306 521.56 Q119.306 528.666 121.112 532.231 Q122.941 535.773 126.552 535.773 Q130.186 535.773 131.992 532.231 Q133.82 528.666 133.82 521.56 Q133.82 514.43 131.992 510.888 Q130.186 507.324 126.552 507.324 M126.552 503.62 Q132.362 503.62 135.417 508.226 Q138.496 512.81 138.496 521.56 Q138.496 530.286 135.417 534.893 Q132.362 539.476 126.552 539.476 Q120.742 539.476 117.663 534.893 Q114.607 530.286 114.607 521.56 Q114.607 512.81 117.663 508.226 Q120.742 503.62 126.552 503.62 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M146.714 532.925 L151.598 532.925 L151.598 538.805 L146.714 538.805 L146.714 532.925 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M161.922 538.087 L161.922 533.828 Q163.681 534.661 165.487 535.101 Q167.292 535.541 169.028 535.541 Q173.658 535.541 176.089 532.439 Q178.542 529.314 178.889 522.972 Q177.547 524.962 175.487 526.027 Q173.427 527.092 170.927 527.092 Q165.741 527.092 162.709 523.967 Q159.7 520.819 159.7 515.379 Q159.7 510.055 162.848 506.838 Q165.996 503.62 171.227 503.62 Q177.223 503.62 180.371 508.226 Q183.542 512.81 183.542 521.56 Q183.542 529.731 179.653 534.615 Q175.788 539.476 169.237 539.476 Q167.477 539.476 165.672 539.129 Q163.866 538.782 161.922 538.087 M171.227 523.435 Q174.376 523.435 176.204 521.282 Q178.056 519.129 178.056 515.379 Q178.056 511.652 176.204 509.5 Q174.376 507.324 171.227 507.324 Q168.079 507.324 166.227 509.5 Q164.399 511.652 164.399 515.379 Q164.399 519.129 166.227 521.282 Q168.079 523.435 171.227 523.435 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M117.177 253.556 L124.816 253.556 L124.816 227.19 L116.506 228.857 L116.506 224.597 L124.769 222.931 L129.445 222.931 L129.445 253.556 L137.084 253.556 L137.084 257.491 L117.177 257.491 L117.177 253.556 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M146.529 251.611 L151.413 251.611 L151.413 257.491 L146.529 257.491 L146.529 251.611 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M171.598 226.009 Q167.987 226.009 166.158 229.574 Q164.352 233.116 164.352 240.246 Q164.352 247.352 166.158 250.917 Q167.987 254.458 171.598 254.458 Q175.232 254.458 177.038 250.917 Q178.866 247.352 178.866 240.246 Q178.866 233.116 177.038 229.574 Q175.232 226.009 171.598 226.009 M171.598 222.306 Q177.408 222.306 180.464 226.912 Q183.542 231.496 183.542 240.246 Q183.542 248.972 180.464 253.579 Q177.408 258.162 171.598 258.162 Q165.788 258.162 162.709 253.579 Q159.653 248.972 159.653 240.246 Q159.653 231.496 162.709 226.912 Q165.788 222.306 171.598 222.306 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M20.1444 914.281 L26.9239 914.281 Q23.9002 917.527 22.4043 921.219 Q20.9083 924.88 20.9083 929.017 Q20.9083 937.165 25.9054 941.494 Q30.8707 945.823 40.2919 945.823 Q49.6813 945.823 54.6784 941.494 Q59.6436 937.165 59.6436 929.017 Q59.6436 924.88 58.1477 921.219 Q56.6518 917.527 53.6281 914.281 L60.3439 914.281 Q62.6355 917.654 63.7814 921.442 Q64.9272 925.198 64.9272 929.399 Q64.9272 940.189 58.3387 946.396 Q51.7183 952.602 40.2919 952.602 Q28.8336 952.602 22.2451 946.396 Q15.6248 940.189 15.6248 929.399 Q15.6248 925.134 16.7706 921.378 Q17.8846 917.591 20.1444 914.281 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M33.8307 883.948 Q33.2578 884.935 33.0032 886.112 Q32.7167 887.258 32.7167 888.659 Q32.7167 893.624 35.9632 896.297 Q39.1779 898.939 45.2253 898.939 L64.0042 898.939 L64.0042 904.828 L28.3562 904.828 L28.3562 898.939 L33.8944 898.939 Q30.6479 897.093 29.0883 894.133 Q27.4968 891.173 27.4968 886.94 Q27.4968 886.335 27.5923 885.603 Q27.656 884.871 27.8151 883.98 L33.8307 883.948 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M32.4621 865.424 Q32.4621 870.134 36.1542 872.872 Q39.8145 875.609 46.212 875.609 Q52.6095 875.609 56.3017 872.904 Q59.9619 870.166 59.9619 865.424 Q59.9619 860.745 56.2698 858.008 Q52.5777 855.271 46.212 855.271 Q39.8781 855.271 36.186 858.008 Q32.4621 860.745 32.4621 865.424 M27.4968 865.424 Q27.4968 857.785 32.4621 853.424 Q37.4273 849.064 46.212 849.064 Q54.9649 849.064 59.9619 853.424 Q64.9272 857.785 64.9272 865.424 Q64.9272 873.094 59.9619 877.455 Q54.9649 881.784 46.212 881.784 Q37.4273 881.784 32.4621 877.455 Q27.4968 873.094 27.4968 865.424 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M29.4065 816.631 L34.9447 816.631 Q33.6716 819.113 33.035 821.787 Q32.3984 824.46 32.3984 827.325 Q32.3984 831.686 33.7352 833.882 Q35.072 836.046 37.7456 836.046 Q39.7826 836.046 40.9603 834.486 Q42.1061 832.927 43.1565 828.216 L43.6021 826.211 Q44.9389 819.973 47.3897 817.363 Q49.8086 814.721 54.1691 814.721 Q59.1344 814.721 62.0308 818.668 Q64.9272 822.583 64.9272 829.458 Q64.9272 832.322 64.3543 835.441 Q63.8132 838.529 62.6992 841.966 L56.6518 841.966 Q58.3387 838.72 59.198 835.569 Q60.0256 832.418 60.0256 829.33 Q60.0256 825.193 58.6251 822.965 Q57.1929 820.737 54.6147 820.737 Q52.2276 820.737 50.9545 822.36 Q49.6813 823.951 48.5037 829.394 L48.0262 831.431 Q46.8804 836.874 44.5251 839.293 Q42.138 841.712 38.0002 841.712 Q32.9713 841.712 30.2341 838.147 Q27.4968 834.582 27.4968 828.025 Q27.4968 824.779 27.9743 821.914 Q28.4517 819.05 29.4065 816.631 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M29.4065 782.67 L34.9447 782.67 Q33.6716 785.152 33.035 787.826 Q32.3984 790.499 32.3984 793.364 Q32.3984 797.725 33.7352 799.921 Q35.072 802.085 37.7456 802.085 Q39.7826 802.085 40.9603 800.525 Q42.1061 798.966 43.1565 794.255 L43.6021 792.25 Q44.9389 786.012 47.3897 783.402 Q49.8086 780.76 54.1691 780.76 Q59.1344 780.76 62.0308 784.707 Q64.9272 788.622 64.9272 795.497 Q64.9272 798.361 64.3543 801.48 Q63.8132 804.568 62.6992 808.005 L56.6518 808.005 Q58.3387 804.759 59.198 801.608 Q60.0256 798.457 60.0256 795.369 Q60.0256 791.231 58.6251 789.003 Q57.1929 786.775 54.6147 786.775 Q52.2276 786.775 50.9545 788.399 Q49.6813 789.99 48.5037 795.433 L48.0262 797.47 Q46.8804 802.913 44.5251 805.332 Q42.138 807.751 38.0002 807.751 Q32.9713 807.751 30.2341 804.186 Q27.4968 800.621 27.4968 794.064 Q27.4968 790.818 27.9743 787.953 Q28.4517 785.089 29.4065 782.67 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M16.4842 750.459 L16.4842 720.413 L21.895 720.413 L21.895 744.03 L35.9632 744.03 L35.9632 721.4 L41.3741 721.4 L41.3741 744.03 L58.5933 744.03 L58.5933 719.84 L64.0042 719.84 L64.0042 750.459 L16.4842 750.459 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M42.4881 679.895 L64.0042 679.895 L64.0042 685.752 L42.679 685.752 Q37.6183 685.752 35.1038 687.725 Q32.5894 689.698 32.5894 693.645 Q32.5894 698.388 35.6131 701.125 Q38.6368 703.862 43.8567 703.862 L64.0042 703.862 L64.0042 709.75 L28.3562 709.75 L28.3562 703.862 L33.8944 703.862 Q30.6797 701.761 29.0883 698.929 Q27.4968 696.064 27.4968 692.34 Q27.4968 686.197 31.3163 683.046 Q35.1038 679.895 42.4881 679.895 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M18.2347 662.421 L28.3562 662.421 L28.3562 650.358 L32.9077 650.358 L32.9077 662.421 L52.2594 662.421 Q56.6199 662.421 57.8613 661.244 Q59.1026 660.034 59.1026 656.374 L59.1026 650.358 L64.0042 650.358 L64.0042 656.374 Q64.0042 663.153 61.4897 665.732 Q58.9434 668.31 52.2594 668.31 L32.9077 668.31 L32.9077 672.607 L28.3562 672.607 L28.3562 668.31 L18.2347 668.31 L18.2347 662.421 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M33.8307 621.999 Q33.2578 622.986 33.0032 624.164 Q32.7167 625.309 32.7167 626.71 Q32.7167 631.675 35.9632 634.349 Q39.1779 636.99 45.2253 636.99 L64.0042 636.99 L64.0042 642.879 L28.3562 642.879 L28.3562 636.99 L33.8944 636.99 Q30.6479 635.144 29.0883 632.184 Q27.4968 629.224 27.4968 624.991 Q27.4968 624.386 27.5923 623.654 Q27.656 622.922 27.8151 622.031 L33.8307 621.999 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M32.4621 603.475 Q32.4621 608.186 36.1542 610.923 Q39.8145 613.66 46.212 613.66 Q52.6095 613.66 56.3017 610.955 Q59.9619 608.217 59.9619 603.475 Q59.9619 598.796 56.2698 596.059 Q52.5777 593.322 46.212 593.322 Q39.8781 593.322 36.186 596.059 Q32.4621 598.796 32.4621 603.475 M27.4968 603.475 Q27.4968 595.836 32.4621 591.476 Q37.4273 587.115 46.212 587.115 Q54.9649 587.115 59.9619 591.476 Q64.9272 595.836 64.9272 603.475 Q64.9272 611.146 59.9619 615.506 Q54.9649 619.835 46.212 619.835 Q37.4273 619.835 32.4621 615.506 Q27.4968 611.146 27.4968 603.475 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M58.657 571.742 L77.5631 571.742 L77.5631 577.63 L28.3562 577.63 L28.3562 571.742 L33.7671 571.742 Q30.5842 569.896 29.0564 567.095 Q27.4968 564.262 27.4968 560.347 Q27.4968 553.854 32.6531 549.812 Q37.8093 545.738 46.212 545.738 Q54.6147 545.738 59.771 549.812 Q64.9272 553.854 64.9272 560.347 Q64.9272 564.262 63.3994 567.095 Q61.8398 569.896 58.657 571.742 M46.212 551.817 Q39.7508 551.817 36.0905 554.491 Q32.3984 557.133 32.3984 561.78 Q32.3984 566.427 36.0905 569.1 Q39.7508 571.742 46.212 571.742 Q52.6732 571.742 56.3653 569.1 Q60.0256 566.427 60.0256 561.78 Q60.0256 557.133 56.3653 554.491 Q52.6732 551.817 46.212 551.817 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M67.3143 521.198 Q73.68 523.681 75.6216 526.036 Q77.5631 528.391 77.5631 532.338 L77.5631 537.017 L72.6615 537.017 L72.6615 533.58 Q72.6615 531.161 71.5157 529.824 Q70.3699 528.487 66.1048 526.864 L63.4312 525.813 L28.3562 540.232 L28.3562 534.025 L56.238 522.885 L28.3562 511.745 L28.3562 505.539 L67.3143 521.198 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><polyline clip-path=\"url(#clip632)\" style=\"stroke:#009af9; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"279.916,85.838 543.195,183.57 697.203,934.611 806.474,1089.07 891.231,1124.21 960.482,1151.53 1019.03,1172.17 1114.49,1220.79 1190.71,1228.88 1254.16,1235.01 1308.52,1273.57 1398.31,1250.6 1453.99,1282.61 1531.78,1290.31 1596.31,1296.79 1671.45,1316.52 1734.15,1328.86 1808.87,1312.42 1876.99,1316.39 1944.35,1326.09 2013.6,1347.46 2085.48,1353.07 2154.18,1362.38 2223.89,1369.4 2292.38,1372.3 \"/>\n",
+       "<path clip-path=\"url(#clip630)\" d=\"M2015.9 196.379 L2281.65 196.379 L2281.65 92.6992 L2015.9 92.6992  Z\" fill=\"#ffffff\" fill-rule=\"evenodd\" fill-opacity=\"1\"/>\n",
+       "<polyline clip-path=\"url(#clip630)\" style=\"stroke:#000000; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"2015.9,196.379 2281.65,196.379 2281.65,92.6992 2015.9,92.6992 2015.9,196.379 \"/>\n",
+       "<polyline clip-path=\"url(#clip630)\" style=\"stroke:#009af9; stroke-linecap:round; stroke-linejoin:round; stroke-width:4; stroke-opacity:1; fill:none\" points=\"2039.6,144.539 2181.81,144.539 \"/>\n",
+       "<path clip-path=\"url(#clip630)\" d=\"M2219.36 164.227 Q2217.55 168.856 2215.84 170.268 Q2214.13 171.68 2211.26 171.68 L2207.85 171.68 L2207.85 168.115 L2210.35 168.115 Q2212.11 168.115 2213.09 167.282 Q2214.06 166.449 2215.24 163.347 L2216 161.403 L2205.52 135.893 L2210.03 135.893 L2218.13 156.171 L2226.23 135.893 L2230.75 135.893 L2219.36 164.227 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip630)\" d=\"M2238.04 157.884 L2245.68 157.884 L2245.68 131.518 L2237.37 133.185 L2237.37 128.926 L2245.63 127.259 L2250.31 127.259 L2250.31 157.884 L2257.95 157.884 L2257.95 161.819 L2238.04 161.819 L2238.04 157.884 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /></svg>\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "r = range(la, :epochs; lower=1, upper=200, scale=:log10)\n",
+    "curve = learning_curve(\n",
+    "    la, X, y; range=r, resampling=Holdout(; fraction_train=0.7), measure=cross_entropy\n",
+    ")\n",
+    "using Plots\n",
+    "plot(\n",
+    "    curve.parameter_values,\n",
+    "    curve.measurements;\n",
+    "    xlab=curve.parameter_name,\n",
+    "    xscale=curve.parameter_scale,\n",
+    "    ylab=\"Cross Entropy\",\n",
+    ")\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Julia 1.9.1",
+   "language": "julia",
+   "name": "julia-1.9"
+  },
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia",
+   "version": "1.9.1"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/src/LaplaceRedux.jl b/src/LaplaceRedux.jl
index 9cf4f34d..2cde1a4a 100644
--- a/src/LaplaceRedux.jl
+++ b/src/LaplaceRedux.jl
@@ -19,6 +19,9 @@ export Laplace,
     posterior_covariance,
     posterior_precision
 
+include("mlj_flux.jl")
+export LaplaceApproximation
+
 include("plotting.jl")
 
 end
diff --git a/src/curvature/functions.jl b/src/curvature/functions.jl
index 1b102af9..ca48be44 100644
--- a/src/curvature/functions.jl
+++ b/src/curvature/functions.jl
@@ -23,6 +23,8 @@ function jacobians(curvature::CurvatureInterface, X::AbstractArray)
     nn = curvature.model
     # Output:
     ŷ = nn(X)
+    # Convert ŷ to a vector
+    ŷ = vec(ŷ)
     # Jacobian:
     # Differentiate f with regards to the model parameters
     𝐉 = jacobian(() -> nn(X), Flux.params(nn))
diff --git a/src/laplace.jl b/src/laplace.jl
index c0edf475..603a5253 100644
--- a/src/laplace.jl
+++ b/src/laplace.jl
@@ -162,6 +162,8 @@ function validate_subnetwork_indices(
     subnetwork_indices::Union{Nothing,Vector{Vector{Int}}}, params
 )
     @assert (subnetwork_indices !== nothing) "If `subset_of_weights` is `:subnetwork`, then `subnetwork_indices` should be a vector of vectors of integers."
+    # Check if subnetwork_indices is a vector containing an empty vector
+    @assert !(subnetwork_indices == [[]]) "If `subset_of_weights` is `:subnetwork`, then `subnetwork_indices` should be a vector of vectors of integers."
     # Initialise a set of vectors
     selected = Set{Vector{Int}}()
     for (i, index) in enumerate(subnetwork_indices)
diff --git a/src/mlj_flux.jl b/src/mlj_flux.jl
new file mode 100644
index 00000000..4013f5c9
--- /dev/null
+++ b/src/mlj_flux.jl
@@ -0,0 +1,344 @@
+using Flux
+using MLJFlux
+import MLJModelInterface as MMI
+using ProgressMeter
+using Random
+using Tables
+using ComputationalResources
+using Statistics
+
+mutable struct LaplaceApproximation{B,F,O,L} <: MLJFlux.MLJFluxProbabilistic
+    builder::B
+    finaliser::F
+    optimiser::O   # mutable struct from Flux/src/optimise/optimisers.jl
+    loss::L        # can be called as in `loss(yhat, y)`
+    epochs::Int    # number of epochs
+    batch_size::Int  # size of a batch
+    lambda::Float64  # regularization strength
+    alpha::Float64   # regularizaton mix (0 for all l2, 1 for all l1)
+    rng::Union{AbstractRNG,Int64}
+    optimiser_changes_trigger_retraining::Bool
+    acceleration::AbstractResource  # eg, `CPU1()` or `CUDALibs()`
+    likelihood::Symbol
+    subset_of_weights::Symbol
+    subnetwork_indices::Vector{Vector{Int}}
+    hessian_structure::Symbol
+    backend::Symbol
+    σ::Real
+    μ₀::Real
+    P₀::Union{AbstractMatrix,UniformScaling}
+    link_approx::Symbol
+    fit_params::Dict{Symbol,Any}
+    la::Union{Nothing,BaseLaplace}
+end
+
+"""
+LaplaceApproximation(;
+builder::B,
+finaliser::F,
+optimiser::O,
+loss::L,
+epochs::Int,
+batch_size::Int,
+lambda::Float64,
+alpha::Float64,
+rng::Union{AbstractRNG,Int64},
+optimiser_changes_trigger_retraining::Bool,
+acceleration::AbstractResource,
+likelihood::Symbol,
+subset_of_weights::Symbol,
+subnetwork_indices::Vector{Vector{Int}},
+hessian_structure::Symbol,
+backend::Symbol,
+σ::Float64,
+μ₀::Float64,
+P₀::Union{AbstractMatrix,UniformScaling},
+link_approx::Symbol,
+fit_params::Dict{Symbol,Any},
+) where {B,F,O,L}
+
+Constructor for LaplaceApproximation, a wrapper for Laplace, a bayesian deep learning model.
+"""
+function LaplaceApproximation(;
+    builder::B=MLJFlux.MLP(; hidden=(32, 32, 32), σ=Flux.swish),
+    finaliser::F=Flux.softmax,
+    optimiser::O=Flux.Optimise.Adam(),
+    loss::L=Flux.crossentropy,
+    epochs::Int=10,
+    batch_size::Int=1,
+    lambda::Float64=1.0,
+    alpha::Float64=0.0,
+    rng::Union{AbstractRNG,Int64}=Random.GLOBAL_RNG,
+    optimiser_changes_trigger_retraining::Bool=false,
+    acceleration::AbstractResource=CPU1(),
+    likelihood::Symbol=:classification,
+    subset_of_weights::Symbol=:all,
+    subnetwork_indices::Vector{Vector{Int}}=Vector{Vector{Int}}([]),
+    hessian_structure::Symbol=:full,
+    backend::Symbol=:GGN,
+    σ::Float64=1.0,
+    μ₀::Float64=0.0,
+    P₀::Union{AbstractMatrix,UniformScaling}=UniformScaling(lambda),
+    link_approx::Symbol=:probit,
+    fit_params::Dict{Symbol,Any}=Dict{Symbol,Any}(:override => true),
+) where {B,F,O,L}
+    return LaplaceApproximation(
+        builder,
+        finaliser,
+        optimiser,
+        loss,
+        epochs,
+        batch_size,
+        lambda,
+        alpha,
+        rng,
+        optimiser_changes_trigger_retraining,
+        acceleration,
+        likelihood,
+        subset_of_weights,
+        subnetwork_indices,
+        hessian_structure,
+        backend,
+        σ,
+        μ₀,
+        P₀,
+        link_approx,
+        fit_params,
+        nothing,
+    )
+end
+
+function MLJFlux.shape(model::LaplaceApproximation, X, y)
+    X = X isa Matrix ? Tables.table(X) : X
+    levels = MMI.classes(y[1])
+    n_output = length(levels)
+    n_input = length(Tables.schema(X).names)
+    return (n_input, n_output)
+end
+
+function MLJFlux.build(model::LaplaceApproximation, rng, shape)
+    # Construct the chain
+    chain = Flux.Chain(MLJFlux.build(model.builder, rng, shape...), model.finaliser)
+    # Construct Laplace model and store it in the model object
+    model.la = Laplace(
+        chain;
+        likelihood=model.likelihood,
+        subset_of_weights=model.subset_of_weights,
+        subnetwork_indices=model.subnetwork_indices,
+        hessian_structure=model.hessian_structure,
+        backend=model.backend,
+        σ=model.σ,
+        μ₀=model.μ₀,
+        P₀=model.P₀,
+    )
+    return chain
+end
+
+function MLJFlux.fitresult(model::LaplaceApproximation, chain, y)
+    return (chain, model.la, MMI.classes(y[1]))
+end
+
+function MLJFlux.train!(model::LaplaceApproximation, penalty, chain, optimiser, X, y)
+    loss = model.loss
+    n_batches = length(y)
+    training_loss = zero(Float32)
+    for i in 1:n_batches
+        parameters = Flux.params(chain)
+        gs = Flux.gradient(parameters) do
+            yhat = chain(X[i])
+            batch_loss = loss(yhat, y[i]) + penalty(parameters) / n_batches
+            training_loss += batch_loss
+            return batch_loss
+        end
+        Flux.update!(optimiser, parameters, gs)
+    end
+    return training_loss / n_batches
+end
+
+function MLJFlux.fit!(
+    model::LaplaceApproximation, penalty, chain, optimiser, epochs, verbosity, X, y
+)
+    loss = model.loss
+
+    # intitialize and start progress meter:
+    meter = Progress(
+        epochs + 1;
+        dt=0,
+        desc="Optimising neural net:",
+        barglyphs=BarGlyphs("[=> ]"),
+        barlen=25,
+        color=:yellow,
+    )
+    verbosity != 1 || next!(meter)
+
+    # initiate history:
+    n_batches = length(y)
+
+    parameters = Flux.params(chain)
+
+    # initial loss:
+    losses = (
+        loss(chain(X[i]), y[i]) + penalty(parameters) / n_batches for i in 1:n_batches
+    )
+    history = [mean(losses)]
+
+    for i in 1:epochs
+        current_loss = MLJFlux.train!(
+            model::MLJFlux.MLJFluxModel, penalty, chain, optimiser, X, y
+        )
+        verbosity < 2 || @info "Loss is $(round(current_loss; sigdigits=4))"
+        verbosity != 1 || next!(meter)
+        push!(history, current_loss)
+    end
+
+    la = model.la
+
+    # fit the Laplace model:
+    fit!(la, zip(X, y); model.fit_params...)
+    optimize_prior!(la; verbose=false, n_steps=100)
+
+    model.la = la
+
+    return chain, history
+end
+
+function MMI.clean!(model::LaplaceApproximation)
+    warning = ""
+    if model.lambda < 0
+        warning *= "Need `lambda ≥ 0`. Resetting `lambda = 0`. "
+        model.lambda = 0
+    end
+    if model.alpha < 0 || model.alpha > 1
+        warning *= "Need alpha in the interval `[0, 1]`. " * "Resetting `alpha = 0`. "
+        model.alpha = 0
+    end
+    if model.epochs < 0
+        warning *= "Need `epochs ≥ 0`. Resetting `epochs = 10`. "
+        model.epochs = 10
+    end
+    if model.batch_size < 0
+        warning *= "Need `batch_size ≥ 0`. Resetting `batch_size = 1`. "
+        model.batch_size = 1
+    end
+    if model.acceleration isa CUDALibs && gpu_isdead()
+        warning *=
+            "`acceleration isa CUDALibs` " * "but no CUDA device (GPU) currently live. "
+    end
+    if !(model.acceleration isa CUDALibs || model.acceleration isa CPU1)
+        warning *= "`Undefined acceleration, falling back to CPU`"
+        model.acceleration = CPU1()
+    end
+    if model.likelihood ∉ (:classification, :regression)
+        warning *=
+            "Need `likelihood ∈ (:classification, :regression)`. " *
+            "Resetting `likelihood = :classification`. "
+        model.likelihood = :classification
+    end
+    if model.subset_of_weights ∉ (:all, :last_layer, :subnetwork)
+        warning *=
+            "Need `subset_of_weights ∈ (:all, :last_layer, :subnetwork)`. " *
+            "Resetting `subset_of_weights = :all`. "
+        model.subset_of_weights = :all
+    end
+    if model.hessian_structure ∉ (:full, :diagonal)
+        warning *=
+            "Need `hessian_structure ∈ (:full, :diagonal)`. " *
+            "Resetting `hessian_structure = :full`. "
+        model.hessian_structure = :full
+    end
+    if model.backend ∉ (:GGN, :EmpiricalFisher)
+        warning *=
+            "Need `backend ∈ (:GGN, :EmpiricalFisher)`. " * "Resetting `backend = :GGN`. "
+        model.backend = :GGN
+    end
+    if model.link_approx ∉ (:probit, :plugin)
+        warning *=
+            "Need `link_approx ∈ (:probit, :plugin)`. " *
+            "Resetting `link_approx = :probit`. "
+        model.link_approx = :probit
+    end
+    return warning
+end
+
+function MMI.predict(model::LaplaceApproximation, fitresult, Xnew)
+    chain, la, levels = fitresult
+    # re-format Xnew into acceptable input for Laplace:
+    X = MLJFlux.reformat(Xnew)
+    # predict using Laplace:
+    probs = vcat(
+        [
+            predict(la, MLJFlux.tomat(X[:, i]); link_approx=model.link_approx)' for
+            i in 1:size(X, 2)
+        ]...,
+    )
+    if la.likelihood == :classification
+        # return a UnivariateFinite:
+        return MMI.UnivariateFinite(levels, probs)
+    end
+    if la.likelihood == :regression
+        # return a UnivariateNormal:
+        return MMI.UnivariateNormal(probs[1], sqrt(probs[2]))
+    end
+end
+
+function _isdefined(object, name)
+    pnames = propertynames(object)
+    fnames = fieldnames(typeof(object))
+    name in pnames && !(name in fnames) && return true
+    return isdefined(object, name)
+end
+
+function _equal_to_depth_one(x1, x2)
+    names = propertynames(x1)
+    names === propertynames(x2) || return false
+    for name in names
+        getproperty(x1, name) == getproperty(x2, name) || return false
+    end
+    return true
+end
+
+function MMI.is_same_except(
+    m1::M1, m2::M2, exceptions::Symbol...
+) where {M1<:LaplaceApproximation,M2<:LaplaceApproximation}
+    typeof(m1) === typeof(m2) || return false
+    names = propertynames(m1)
+    propertynames(m2) === names || return false
+
+    for name in names
+        if !(name in exceptions) && name != :la
+            if !_isdefined(m1, name)
+                !_isdefined(m2, name) || return false
+            elseif _isdefined(m2, name)
+                if name in MLJFlux.deep_properties(M1)
+                    _equal_to_depth_one(getproperty(m1, name), getproperty(m2, name)) ||
+                        return false
+                else
+                    (
+                        MMI.is_same_except(getproperty(m1, name), getproperty(m2, name)) ||
+                        getproperty(m1, name) isa AbstractRNG ||
+                        getproperty(m2, name) isa AbstractRNG
+                    ) || return false
+                end
+            else
+                return false
+            end
+        end
+    end
+    return true
+end
+
+MMI.metadata_model(
+    LaplaceApproximation;
+    input=Union{
+        AbstractMatrix{MMI.Continuous},
+        MMI.Table(MMI.Continuous),
+        MMI.Table{AbstractVector{MMI.Continuous}},
+    },
+    target=Union{
+        AbstractArray{MMI.Finite},
+        AbstractArray{MMI.Continuous},
+        AbstractVector{MMI.Finite},
+        AbstractVector{MMI.Continuous},
+    },
+    path="MLJFlux.LaplaceApproximation",
+)
diff --git a/test/Project.toml b/test/Project.toml
index cb31d153..59cc744f 100644
--- a/test/Project.toml
+++ b/test/Project.toml
@@ -4,4 +4,9 @@ MLUtils = "f1d291b0-491e-4a28-83b9-f70985020b54"
 Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
-LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
\ No newline at end of file
+LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
+Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
+MLJ = "add582a8-e3ab-11e8-2d5e-e98b27df1bc7"
+MLJBase = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
+MLJFlux = "094fc8d1-fd35-5302-93ea-dabda2abf845"
+StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
\ No newline at end of file
diff --git a/test/mlj_flux_interfacing.jl b/test/mlj_flux_interfacing.jl
new file mode 100644
index 00000000..96e19166
--- /dev/null
+++ b/test/mlj_flux_interfacing.jl
@@ -0,0 +1,112 @@
+using Random: Random
+import Random.seed!
+using MLJ
+using MLJBase
+using MLJFlux
+using Flux
+using StableRNGs
+
+function basictest(ModelType, X, y, builder, optimiser, threshold, accel)
+    ModelType_str = string(ModelType)
+    ModelType_ex = Meta.parse(ModelType_str)
+    accel_ex = Meta.parse(string(accel))
+    optimiser = deepcopy(optimiser)
+
+    eval(
+        quote
+            stable_rng = StableRNGs.StableRNG(123)
+
+            model = $ModelType_ex(;
+                builder=$builder,
+                optimiser=$optimiser,
+                acceleration=$accel_ex,
+                rng=stable_rng,
+            )
+
+            fitresult, cache, _report = MLJBase.fit(model, 0, $X, $y)
+
+            history = _report.training_losses
+            @test length(history) == model.epochs + 1
+
+            # test improvement in training loss:
+            @test history[end] < $threshold * history[1]
+
+            # increase iterations and check update is incremental:
+            model.epochs = model.epochs + 3
+
+            fitresult, cache, _report = @test_logs(
+                (:info, r""), # one line of :info per extra epoch
+                (:info, r""),
+                (:info, r""),
+                MLJBase.update(model, 2, fitresult, cache, $X, $y)
+            )
+
+            @test :chain in keys(MLJBase.fitted_params(model, fitresult))
+
+            yhat = MLJBase.predict(model, fitresult, $X)
+
+            history = _report.training_losses
+            @test length(history) == model.epochs + 1
+
+            # start fresh with small epochs:
+            model = $ModelType_ex(;
+                builder=$builder,
+                optimiser=$optimiser,
+                epochs=2,
+                acceleration=$accel_ex,
+                rng=stable_rng,
+            )
+
+            fitresult, cache, _report = MLJBase.fit(model, 0, $X, $y)
+
+            # change batch_size and check it performs cold restart:
+            model.batch_size = 2
+            fitresult, cache, _report = @test_logs(
+                (:info, r""), # one line of :info per extra epoch
+                (:info, r""),
+                MLJBase.update(model, 2, fitresult, cache, $X, $y)
+            )
+
+            # change learning rate and check it does *not* restart:
+            model.optimiser.eta /= 2
+            fitresult, cache, _report = @test_logs(
+                MLJBase.update(model, 2, fitresult, cache, $X, $y)
+            )
+
+            # set `optimiser_changes_trigger_retraining = true` and change
+            # learning rate and check it does restart:
+            model.optimiser_changes_trigger_retraining = true
+            model.optimiser.eta /= 2
+            @test_logs(
+                (:info, r""), # one line of :info per extra epoch
+                (:info, r""),
+                MLJBase.update(model, 2, fitresult, cache, $X, $y)
+            )
+        end,
+    )
+
+    return true
+end
+
+seed!(1234)
+N = 300
+X = MLJBase.table(rand(Float32, N, 4));
+ycont = 2 * X.x1 - X.x3 + 0.1 * rand(N)
+m, M = minimum(ycont), maximum(ycont)
+_, a, b, _ = collect(range(m; stop=M, length=4))
+y = categorical(
+    map(ycont) do η
+        if η < 0.9 * a
+            'a'
+        elseif η < 1.1 * b
+            'b'
+        else
+            'c'
+        end
+    end,
+);
+
+builder = MLJFlux.MLP(; hidden=(16, 8), σ=Flux.relu)
+optimizer = Flux.Optimise.Adam(0.03)
+
+@test basictest(LaplaceApproximation, X, y, builder, optimizer, 0.9, CPU1())
diff --git a/test/runtests.jl b/test/runtests.jl
index 65cdf6cd..3635b2ed 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -21,4 +21,8 @@ using Test
     @testset "KronDecomposed" begin
         include("krondecomposed.jl")
     end
+
+    @testset "MLJFlux" begin
+        include("mlj_flux_interfacing.jl")
+    end
 end