closes #29, partial #30 for probability, closes #35

math-for-ml/03_probability/exercises.ipynb → math-for-ml/03_probability/extras.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Math4ML Part III: Probability"
+    "# Math4ML Part III: Probability - Extras"
    ]
   },
   {
@@ -24,7 +24,7 @@
    "outputs": [],
    "source": [
     "# allows interactive plotting\n",
-    "%matplotlib widget \n",
+    "%matplotlib widget\n",
     "\n",
     "# importing from standard library\n",
     "import random\n",
@@ -35,9 +35,17 @@
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "\n",
+    "if 'google.colab' in str(get_ipython()):\n",
+    "    !git clone --branch \"math4ml/reorg\" \"https://github.com/wandb/edu.git\"\n",
+    "    %cd \"edu/math-for-ml/03_probability\"\n",
+    "else:\n",
+    "    pass\n",
+    "\n",
+    "if \"../\" not in sys.path:\n",
+    "    sys.path.append(\"../\")\n",
+    "\n",
     "# importing course-specific modules\n",
-    "import util\n",
-    "import probability as prob"
+    "import utils"
    ]
   },
   {
@@ -115,8 +123,8 @@
     "data = true_sigma * np.random.standard_normal(size=N) + true_mu\n",
     "\n",
     "\n",
-    "fitter = prob.mle.make_gauss_fitter(data, true_mu, true_sigma)\n",
-    "prob.mle.make_interactor(fitter, mu_lims=[-10, 10], sigma_lims=[1e-3, 10]);"
+    "fitter = utils.mle.make_gauss_fitter(data, true_mu, true_sigma)\n",
+    "utils.mle.make_interactor(fitter, mu_lims=[-10, 10], sigma_lims=[1e-3, 10]);"
    ]
   },
   {
@@ -276,7 +284,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "prob.mle.make_plot(data, num_gaussians=5, true_mu=true_mu);\n",
+    "utils.mle.make_plot(data, num_gaussians=5, true_mu=true_mu);\n",
     "\n",
     "print(\"The surprise-minimizing estimate for µ is \"+str(np.mean(data)))\n",
     "print(\"The value of µ used to generate the data is \"+str(true_mu))"
@@ -431,7 +439,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "anim_html = prob.clt.setup_and_run_animation(pmf, iters)\n",
+    "anim_html = utils.clt.setup_and_run_animation(pmf, iters)\n",
     "\n",
     "IPython.display.HTML(anim_html)"
    ]