tf.keras.callbacks.LearningRateScheduler

TensorFlow 1 version

View source on GitHub

Callback that prints metrics to stdout.

Inherits From: Callback

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.callbacks.ProgbarLogger

tf.keras.callbacks.ProgbarLogger(
    count_mode='samples', stateful_metrics=None
)

Arguments
`count_mode`	One of `"steps"` or `"samples"`. Whether the progress bar should count samples seen or steps (batches) seen.
`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. All others will be averaged over time (e.g. loss, etc). If not provided, defaults to the `Model`'s metrics.

Raises
`ValueError`	In case of invalid `count_mode`.

Methods

`set_model`

View source

set_model(
    model
)

`set_params`

View source

set_params(
    params
)

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tf.keras / callbacks / callbacks.LearningRateScheduler

View aliases

Arguments

Raises

Methods

set_model

set_params

`set_model`

`set_params`