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ci: removes macos as test platform
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MArpogaus committed Jul 12, 2024
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2 changes: 1 addition & 1 deletion .github/workflows/test.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@ jobs:

strategy:
matrix:
platform: [ubuntu-latest, macos-latest, windows-latest]
platform: [ubuntu-latest, windows-latest]
python-version: [3.7, 3.8, 3.9, '3.10', '3.11']

runs-on: ${{ matrix.platform }}
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4 comments on commit cfbdaff

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Old Faithful

Learning Curve

Metrics

Min of loss: -0.8135663866996765

Parameter Vector

a1 = array([2.3173122], dtype=float32)
b1 = array([-0.27829126], dtype=float32)
thetas = array([-1.8318529 , -1.1325169 , -0.4331808 , -0.4330938 , -0.4329831 ,
   -0.43249044, -0.42397836, -0.42307353, -0.42249402, -0.42153722,
    0.01437446,  0.45028615], dtype=float32)

Flow

Results

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Bimodal Model

Learning Curve

Learning Curve

Metrics

loss: -0.8529066443443298
val_loss: -0.8939569592475891

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: [-3.0002148 -2.0800226 -1.1598303 -1.1465106 -0.38958502 -0.04347345
-0.04337765 -0.04336765 -0.04335765 -0.04334765 -0.04333765 -0.04332766
-0.04331766 -0.04330766 -0.04329766 -0.04328763 -0.04327584 3.6706738
7.3846235 ]
scale1: 0.496143639087677
shift1: 0.6351183652877808

Flow



Bijector


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Old Faithful

Learning Curve

Metrics

Min of loss: -0.4969794750213623

Parameter Vector

a1 = array([5.4571486], dtype=float32)
b1 = array([-0.62202406], dtype=float32)
thetas = array([-0.22501785, -0.17324337, -0.1214689 , -0.10961129,  0.6301099 ,
    0.6390371 ,  0.64490277,  0.6826066 ,  1.0408078 ,  1.2300521 ,
    1.4623666 ,  1.694681  ], dtype=float32)

Flow

Results

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Bimodal Model

Learning Curve

Learning Curve

Metrics

loss: -0.8200331330299377
val_loss: -0.8479015827178955

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: [-3.0001197 -2.0826836 -1.1652474 -1.0013814 -0.23499078 -0.0526576
-0.05258818 -0.05257818 -0.05256818 -0.05255818 -0.05254818 -0.05253819
-0.05252819 -0.05251819 -0.05250819 -0.0524981 -0.05248614 4.967027
9.98654 ]
scale1: 0.49455928802490234
shift1: 0.592217206954956

Flow



Bijector


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