import keras.backend as K

### Custom Keras Metrics ###

def qmax(y_true, y_pred):
    return K.max(y_pred)

7027b78d73b7c1a9dcf408c89f564191ddd33159
<mask token>

<mask token>


def qmax(y_true, y_pred):
    return K.max(y_pred)

import keras.backend as K


def qmax(y_true, y_pred):
    return K.max(y_pred)

import keras.backend as K

### Custom Keras Metrics ###

def qmax(y_true, y_pred):
    return K.max(y_pred)
