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[MRG] Fix AttributeError in Sequential object - predict_proba #993

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Merged
merged 3 commits into from
Jul 8, 2023
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[MRG] Fix AttributeError in Sequential object - predict_proba #993

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6177495
Fix AttributeError by replacing deprecated predict_proba with predict
Foxglove144 Jun 25, 2023
ccff78a
Merge branch 'scikit-learn-contrib:master' into patch-1
Foxglove144 Jul 8, 2023
ac87cbd
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glemaitre Jul 8, 2023
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12 changes: 10 additions & 2 deletions examples/applications/porto_seguro_keras_under_sampling.py
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Expand Up @@ -149,15 +149,23 @@ def wrapper(*args, **kwds):
###############################################################################
# The first model will be trained using the ``fit`` method and with imbalanced
# mini-batches.

import tensorflow
from sklearn.metrics import roc_auc_score
from sklearn.utils import parse_version

tf_version = parse_version(tensorflow.__version__)


@timeit
def fit_predict_imbalanced_model(X_train, y_train, X_test, y_test):
model = make_model(X_train.shape[1])
model.fit(X_train, y_train, epochs=2, verbose=1, batch_size=1000)
y_pred = model.predict_proba(X_test, batch_size=1000)
if tf_version < parse_version("2.6"):
# predict_proba was removed in tensorflow 2.6
predict_method = "predict_proba"
else:
predict_method = "predict"
y_pred = getattr(model, predict_method)(X_test, batch_size=1000)
return roc_auc_score(y_test, y_pred)


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