tf.keras.callbacks.BaseLogger

Class BaseLogger

Inherits From: Callback

Defined in tensorflow/python/keras/callbacks.py.

Callback that accumulates epoch averages of metrics.

This callback is automatically applied to every Keras model.

Arguments:

• stateful_metrics: Iterable of string names of metrics that should not be averaged over an epoch. Metrics in this list will be logged as-is in on_epoch_end. All others will be averaged in on_epoch_end.

__init__

__init__(stateful_metrics=None)

Initialize self. See help(type(self)) for accurate signature.

Methods

tf.keras.callbacks.BaseLogger.on_batch_begin

on_batch_begin(
    batch,
    logs=None
)

tf.keras.callbacks.BaseLogger.on_batch_end

on_batch_end(
    batch,
    logs=None
)

tf.keras.callbacks.BaseLogger.on_epoch_begin

on_epoch_begin(
    epoch,
    logs=None
)

tf.keras.callbacks.BaseLogger.on_epoch_end

on_epoch_end(
    epoch,
    logs=None
)

tf.keras.callbacks.BaseLogger.on_train_batch_begin

on_train_batch_begin(
    batch,
    logs=None
)

tf.keras.callbacks.BaseLogger.on_train_batch_end

on_train_batch_end(
    batch,
    logs=None
)

tf.keras.callbacks.BaseLogger.on_train_begin

on_train_begin(logs=None)

tf.keras.callbacks.BaseLogger.on_train_end

on_train_end(logs=None)

tf.keras.callbacks.BaseLogger.set_model

set_model(model)

tf.keras.callbacks.BaseLogger.set_params

set_params(params)