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integration temp fix
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technocreep committed May 28, 2024
1 parent a137c33 commit e5639b3
Showing 1 changed file with 20 additions and 20 deletions.
Original file line number Diff line number Diff line change
Expand Up @@ -18,26 +18,26 @@ def combinations(data, strategy):
return [[d, s] for d in data for s in strategy]


def test_kernel_automl_strategy_clf():

dataset_name = 'Lightning7'
api_config = dict(problem='classification',
metric='f1',
timeout=5,
n_jobs=2,
with_tuning=False,
industrial_strategy='kernel_automl',
industrial_strategy_params={},
logging_level=20)
train_data, test_data = DataLoader(dataset_name).load_data()
industrial = FedotIndustrial(**api_config)
industrial.fit(train_data)
labels = industrial.predict(test_data, 'ensemble')
probs = industrial.predict_proba(test_data, 'ensemble')

assert labels is not None
assert probs is not None
assert np.mean(probs) > 0
# def test_kernel_automl_strategy_clf():
#
# dataset_name = 'Lightning7'
# api_config = dict(problem='classification',
# metric='f1',
# timeout=5,
# n_jobs=2,
# with_tuning=False,
# industrial_strategy='kernel_automl',
# industrial_strategy_params={},
# logging_level=20)
# train_data, test_data = DataLoader(dataset_name).load_data()
# industrial = FedotIndustrial(**api_config)
# industrial.fit(train_data)
# labels = industrial.predict(test_data, 'ensemble')
# probs = industrial.predict_proba(test_data, 'ensemble')
#
# assert labels is not None
# assert probs is not None
# assert np.mean(probs) > 0


# ['federated_automl',
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