tf.keras.callbacks.BaseLogger

TensorFlow 1 version

View source on GitHub

Callback that streams epoch results to a CSV file.

Inherits From: Callback

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.callbacks.CSVLogger

tf.keras.callbacks.CSVLogger(
    filename, separator=',', append=False
)

Supports all values that can be represented as a string, including 1D iterables such as np.ndarray.

Example:

csv_logger = CSVLogger('training.log')
model.fit(X_train, Y_train, callbacks=[csv_logger])

Arguments
`filename`	Filename of the CSV file, e.g. `'run/log.csv'`.
`separator`	String used to separate elements in the CSV file.
`append`	Boolean. True: append if file exists (useful for continuing training). False: overwrite existing file.

Methods

`set_model`

View source

set_model(
    model
)

`set_params`

View source

set_params(
    params
)

TensorFlow

tf

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tf.keras / callbacks / callbacks.BaseLogger

View aliases

Example:

Arguments

Methods

set_model

set_params

`set_model`

`set_params`