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TST Fixes random seed for flaky test_keras #800

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TST Fixes random seed for flaky test_keras #800

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TST Fixes random seed for flaky test
thomasjpfan Feb 24, 2021
ce07328
Update tests/model_selection/test_keras.py
thomasjpfan Feb 27, 2021
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13 changes: 10 additions & 3 deletions tests/model_selection/test_keras.py
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Original file line number Diff line number Diff line change
Expand Up @@ -46,17 +46,24 @@ def _keras_build_fn(lr=0.01):
@gen_cluster(client=True, Worker=Nanny, timeout=20)
def test_keras(c, s, a, b):
# Mirror the mnist dataset
X, y = make_classification(n_classes=10, n_features=784, n_informative=100)
X, y = make_classification(
n_classes=10, n_features=784, n_informative=100, random_state=0
)
X = X.astype("float32")
assert y.dtype == np.dtype("int64")

model = KerasClassifier(
model=_keras_build_fn, lr=0.01, verbose=False, loss="categorical_crossentropy",
)
params = {"lr": loguniform(1e-3, 1e-1)}
params = {"lr": loguniform(1e-3, 1e-1), "random_state": [1]}

search = IncrementalSearchCV(
model, params, max_iter=3, n_initial_parameters=5, decay_rate=None
model,
params,
max_iter=3,
n_initial_parameters=5,
decay_rate=None,
random_state=0,
)
yield search.fit(X, y)
# search.fit(X, y)
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