contrib.keras.callbacks.CSVLogger

tf.contrib.keras.callbacks.CSVLogger

class tf.contrib.keras.callbacks.CSVLogger

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

Callback that streams epoch results to a csv file.

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

Example: python 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: True: append if file exists (useful for continuing
    training). False: overwrite existing file,

Methods

__init__

__init__(
    filename,
    separator=',',
    append=False
)

on_batch_begin

on_batch_begin(
    batch,
    logs=None
)

on_batch_end

on_batch_end(
    batch,
    logs=None
)

on_epoch_begin

on_epoch_begin(
    epoch,
    logs=None
)

on_epoch_end

on_epoch_end(
    epoch,
    logs=None
)

on_train_begin

on_train_begin(logs=None)

on_train_end

on_train_end(logs=None)

set_model

set_model(model)

set_params

set_params(params)

© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/keras/callbacks/CSVLogger

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