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keras auc without tf.metrics.auc

Clear Chipmunk answered on July 26, 2020 Popularity 8/10 Helpfulness 7/10

answer keras auc without tf.metrics.auc

keras auc without tf.metrics.auc

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import tensorflow as tf
from sklearn.metrics import roc_auc_score

def auroc(y_true, y_pred):
    return tf.py_func(roc_auc_score, (y_true, y_pred), tf.double)

# Build Model...

model.compile(loss='categorical_crossentropy', optimizer='adam',metrics=['accuracy', auroc])

Popularity 8/10 Helpfulness 7/10 Language python

Source: stackoverflow.com

Tags: auc keras python

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Contributed on Jul 26 2020

Clear Chipmunk

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keras auc without tf.metrics.auc

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