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ci: add python version 3.11 to test matrix
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@MArpogaus
MArpogaus committed Jul 10, 2024
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2 changes: 1 addition & 1 deletion .github/workflows/pytest.yaml
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Expand Up @@ -8,7 +8,7 @@ jobs:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: [3.7, 3.8, 3.9, '3.10']
python-version: [3.7, 3.8, 3.9, '3.10', '3.11']

steps:
- uses: actions/checkout@v2
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Old Faithful

Learning Curve

Metrics

Min of loss: -0.5290330648422241

Parameter Vector

a1 = array([7.313695], dtype=float32)
b1 = array([-0.64312804], dtype=float32)
thetas = array([-0.15257004, -0.11374421, -0.07491839,  0.53441435,  0.5366358 ,
    0.53825843,  0.5512988 ,  0.7352747 ,  0.9286261 ,  1.0092045 ,
    1.1830232 ,  1.3568419 ], dtype=float32)

Flow

Results

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Bimodal Model

Learning Curve

Learning Curve

Metrics

loss: -0.7251062393188477
val_loss: -0.7404675483703613

Results

Parameter Vector for x = 1

BernsteinFlow:
invert_chain_of_bernstein_bijector_of_scale1_of_shift1:
chain_of_bernstein_bijector_of_scale1_of_shift1:
bernstein_bijector: [-3.0017641e+00 -2.0094724e+00 -1.0171807e+00 -1.6065079e-01
1.4322042e-02 2.2607906e-01 2.2612940e-01 2.2613940e-01
2.2614940e-01 2.2615939e-01 2.2616939e-01 2.2617939e-01
2.2618939e-01 2.2619939e-01 2.2620960e-01 2.2676818e-01
2.2696771e-01 7.7687597e+00 1.5310552e+01]
scale1: 0.4947434961795807
shift1: 0.5257817506790161

Flow



Bijector

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