tf.keras.callbacks.CallbackList

Container abstracting a list of callbacks.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.callbacks.CallbackList

tf.keras.callbacks.CallbackList(
    callbacks=None, add_history=False, add_progbar=False, model=None, **params
)

Arguments
callbacks	List of Callback instances.
add_history	Whether a History callback should be added, if one does not already exist in the callbacks list.
add_progbar	Whether a ProgbarLogger callback should be added, if one does not already exist in the callbacks list.
model	The Model these callbacks are used with.
**params	If provided, parameters will be passed to each Callback via Callback.set_params.

Methods

append

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append(
    callback
)

on_batch_begin

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on_batch_begin(
    batch, logs=None
)

on_batch_end

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on_batch_end(
    batch, logs=None
)

on_epoch_begin

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on_epoch_begin(
    epoch, logs=None
)

Calls the on_epoch_begin methods of its callbacks.

This function should only be called during TRAIN mode.

Arguments
epoch	Integer, index of epoch.
logs	Dict. Currently no data is passed to this argument for this method but that may change in the future.

on_epoch_end

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on_epoch_end(
    epoch, logs=None
)

Calls the on_epoch_end methods of its callbacks.

This function should only be called during TRAIN mode.

Arguments
epoch	Integer, index of epoch.
logs	Dict, metric results for this training epoch, and for the validation epoch if validation is performed. Validation result keys are prefixed with val_.

on_predict_batch_begin

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on_predict_batch_begin(
    batch, logs=None
)

Calls the on_predict_batch_begin methods of its callbacks.

Arguments
batch	Integer, index of batch within the current epoch.
logs	Dict, contains the return value of model.predict_step, it typically returns a dict with a key 'outputs' containing the model's outputs.

on_predict_batch_end

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on_predict_batch_end(
    batch, logs=None
)

Calls the on_predict_batch_end methods of its callbacks.

Arguments
batch	Integer, index of batch within the current epoch.
logs	Dict. Aggregated metric results up until this batch.

on_predict_begin

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on_predict_begin(
    logs=None
)

Calls the 'on_predict_begin` methods of its callbacks.

Arguments
logs	Dict. Currently no data is passed to this argument for this method but that may change in the future.

on_predict_end

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on_predict_end(
    logs=None
)

Calls the on_predict_end methods of its callbacks.

Arguments
logs	Dict. Currently no data is passed to this argument for this method but that may change in the future.

on_test_batch_begin

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on_test_batch_begin(
    batch, logs=None
)

Calls the on_test_batch_begin methods of its callbacks.

Arguments
batch	Integer, index of batch within the current epoch.
logs	Dict, contains the return value of model.test_step. Typically, the values of the Model's metrics are returned. Example: {'loss': 0.2, 'accuracy': 0.7}.

on_test_batch_end

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on_test_batch_end(
    batch, logs=None
)

Calls the on_test_batch_end methods of its callbacks.

Arguments
batch	Integer, index of batch within the current epoch.
logs	Dict. Aggregated metric results up until this batch.

on_test_begin

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on_test_begin(
    logs=None
)

Calls the on_test_begin methods of its callbacks.

Arguments
logs	Dict. Currently no data is passed to this argument for this method but that may change in the future.

on_test_end

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on_test_end(
    logs=None
)

Calls the on_test_end methods of its callbacks.

Arguments
logs	Dict. Currently no data is passed to this argument for this method but that may change in the future.

on_train_batch_begin

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on_train_batch_begin(
    batch, logs=None
)

Calls the on_train_batch_begin methods of its callbacks.

Arguments
batch	Integer, index of batch within the current epoch.
logs	Dict, contains the return value of model.train_step. Typically, the values of the Model's metrics are returned. Example: {'loss': 0.2, 'accuracy': 0.7}.

on_train_batch_end

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on_train_batch_end(
    batch, logs=None
)

Calls the on_train_batch_end methods of its callbacks.

Arguments
batch	Integer, index of batch within the current epoch.
logs	Dict. Aggregated metric results up until this batch.

on_train_begin

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on_train_begin(
    logs=None
)

Calls the on_train_begin methods of its callbacks.

Arguments
logs	Dict. Currently no data is passed to this argument for this method but that may change in the future.

on_train_end

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on_train_end(
    logs=None
)

Calls the on_train_end methods of its callbacks.

Arguments
logs	Dict. Currently no data is passed to this argument for this method but that may change in the future.

set_model

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set_model(
    model
)

set_params

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set_params(
    params
)

__iter__

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__iter__()