/Python/Keras auc without tf.metrics.auc

Keras auc without tf.metrics.auc

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])

Source: stackoverflow.com

Similar codes

0 vote193 views1 answer
Get n largest values from 2D numpy array matrix
Python
30 votes182 views6 answers
With open python
Python
31 votes169 views5 answers
Python day from date
Python
0 vote167 views1 answer
How to access dataframe row by datetime index
Python
0 vote155 views1 answer
Sum values in django models and insert value in model field
Python
38 votes166 views2 answers
Python create new folder if not exist
Python
1 vote209 views1 answer
Python access modifiers
Python
0 vote319 views1 answer
~
Python
0 vote148 views1 answer
Link_to class
Python
234 votes629 views6 answers
Random in python
Python