/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

3 votes156 views1 answer
Calculate percentile pandas dataframe
Python
0 vote169 views1 answer
For loop only for first 10 python
Python
14 votes155 views6 answers
What is flask
Python
5 votes135 views2 answers
Python games
Python
1 vote155 views1 answer
Mean squared error python
Python
2 votes155 views2 answers
Or in django query
Python
0 vote159 views2 answers
Pandas drop column if exists
Python
62 votes156 views3 answers
Python how to loop in a list
Python
1 vote149 views1 answer
Pandas replace column name spaces with underscore
Python
3 votes170 views1 answer
Application of stack python
Python