TensorFlow 1 version | View source on GitHub |
Abstract base class used to build new callbacks.
tf.keras.callbacks.Callback()
The logs
dictionary that callback methods
take as argument will contain keys for quantities relevant to
the current batch or epoch.
Currently, the .fit()
method of the Model
class
will include the following quantities in the logs
that
it passes to its callbacks:
on_epoch_end: logs include `acc` and `loss`, and
optionally include `val_loss`
(if validation is enabled in `fit`), and `val_acc`
(if validation and accuracy monitoring are enabled).
on_batch_begin: logs include `size`,
the number of samples in the current batch.
on_batch_end: logs include `loss`, and optionally `acc`
(if accuracy monitoring is enabled).
Attributes | |
---|---|
params
|
dict. Training parameters (eg. verbosity, batch size, number of epochs...). |
model
|
instance of keras.models.Model .
Reference of the model being trained.
|
validation_data
|
Deprecated. Do not use. |
Methods
on_batch_begin
on_batch_begin(
batch, logs=None
)
A backwards compatibility alias for on_train_batch_begin
.
on_batch_end
on_batch_end(
batch, logs=None
)
A backwards compatibility alias for on_train_batch_end
.
on_epoch_begin
on_epoch_begin(
epoch, logs=None
)
Called at the start of an epoch.
Subclasses should override for any actions to run. 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
on_epoch_end(
epoch, logs=None
)
Called at the end of an epoch.
Subclasses should override for any actions to run. 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
on_predict_batch_begin(
batch, logs=None
)
Called at the beginning of a batch in predict
methods.
Subclasses should override for any actions to run.
Arguments | |
---|---|
batch
|
integer, index of batch within the current epoch. |
logs
|
dict. Has keys batch and size representing the current batch
number and the size of the batch.
|
on_predict_batch_end
on_predict_batch_end(
batch, logs=None
)
Called at the end of a batch in predict
methods.
Subclasses should override for any actions to run.
Arguments | |
---|---|
batch
|
integer, index of batch within the current epoch. |
logs
|
dict. Metric results for this batch. |
on_predict_begin
on_predict_begin(
logs=None
)
Called at the beginning of prediction.
Subclasses should override for any actions to run.
Arguments | |
---|---|
logs
|
dict. Currently no data is passed to this argument for this method but that may change in the future. |
on_predict_end
on_predict_end(
logs=None
)
Called at the end of prediction.
Subclasses should override for any actions to run.
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
on_test_batch_begin(
batch, logs=None
)
Called at the beginning of a batch in evaluate
methods.
Also called at the beginning of a validation batch in the fit
methods, if validation data is provided.
Subclasses should override for any actions to run.
Arguments | |
---|---|
batch
|
integer, index of batch within the current epoch. |
logs
|
dict. Has keys batch and size representing the current batch
number and the size of the batch.
|
on_test_batch_end
on_test_batch_end(
batch, logs=None
)
Called at the end of a batch in evaluate
methods.
Also called at the end of a validation batch in the fit
methods, if validation data is provided.
Subclasses should override for any actions to run.
Arguments | |
---|---|
batch
|
integer, index of batch within the current epoch. |
logs
|
dict. Metric results for this batch. |
on_test_begin
on_test_begin(
logs=None
)
Called at the beginning of evaluation or validation.
Subclasses should override for any actions to run.
Arguments | |
---|---|
logs
|
dict. Currently no data is passed to this argument for this method but that may change in the future. |
on_test_end
on_test_end(
logs=None
)
Called at the end of evaluation or validation.
Subclasses should override for any actions to run.
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
on_train_batch_begin(
batch, logs=None
)
Called at the beginning of a training batch in fit
methods.
Subclasses should override for any actions to run.
Arguments | |
---|---|
batch
|
integer, index of batch within the current epoch. |
logs
|
dict. Has keys batch and size representing the current batch
number and the size of the batch.
|
on_train_batch_end
on_train_batch_end(
batch, logs=None
)
Called at the end of a training batch in fit
methods.
Subclasses should override for any actions to run.
Arguments | |
---|---|
batch
|
integer, index of batch within the current epoch. |
logs
|
dict. Metric results for this batch. |
on_train_begin
on_train_begin(
logs=None
)
Called at the beginning of training.
Subclasses should override for any actions to run.
Arguments | |
---|---|
logs
|
dict. Currently no data is passed to this argument for this method but that may change in the future. |
on_train_end
on_train_end(
logs=None
)
Called at the end of training.
Subclasses should override for any actions to run.
Arguments | |
---|---|
logs
|
dict. Currently no data is passed to this argument for this method but that may change in the future. |
set_model
set_model(
model
)
set_params
set_params(
params
)