tf.keras.callbacks.History | TensorFlow v2.16.1 (original) (raw)
Callback that records events into a History object.
Inherits From: Callback
tf.keras.callbacks.History()
This callback is automatically applied to every Keras model. The History object gets returned by the fit() method of models.
Example:
model = Sequential([layers.Dense(10)])
model.compile(SGD(), loss='mse')
history = model.fit(np.arange(100).reshape(5, 20), np.zeros(5),
epochs=10, verbose=1)
print(history.params)
{'verbose': 1, 'epochs': 10, 'steps': 1}
# check the keys of history object
print(history.history.keys())
dict_keys(['loss'])
| Attributes | | | ---------- | | | model | |
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.
| Args | |
|---|---|
| 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.
| Args | |
|---|---|
| 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_. For training epoch, the values of the Model's metrics are returned. Example:{'loss': 0.2, 'accuracy': 0.7}. |
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.
Note that if the steps_per_execution argument to compile inModel is set to N, this method will only be called everyN batches.
| Args | |
|---|---|
| batch | Integer, index of batch within the current epoch. |
| logs | Dict. Currently no data is passed to this argument for this method but that may change in the future. |
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.
Note that if the steps_per_execution argument to compile inModel is set to N, this method will only be called everyN batches.
| Args | |
|---|---|
| batch | Integer, index of batch within the current epoch. |
| logs | Dict. Aggregated metric results up until this batch. |
on_predict_begin
on_predict_begin(
logs=None
)
Called at the beginning of prediction.
Subclasses should override for any actions to run.
| Args | |
|---|---|
| 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.
| Args | |
|---|---|
| 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 fitmethods, if validation data is provided.
Subclasses should override for any actions to run.
Note that if the steps_per_execution argument to compile inModel is set to N, this method will only be called everyN batches.
| Args | |
|---|---|
| batch | Integer, index of batch within the current epoch. |
| logs | Dict. Currently no data is passed to this argument for this method but that may change in the future. |
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 fitmethods, if validation data is provided.
Subclasses should override for any actions to run.
Note that if the steps_per_execution argument to compile inModel is set to N, this method will only be called everyN batches.
| Args | |
|---|---|
| batch | Integer, index of batch within the current epoch. |
| logs | Dict. Aggregated metric results up until 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.
| Args | |
|---|---|
| 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.
| Args | |
|---|---|
| logs | Dict. Currently the output of the last call toon_test_batch_end() 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.
Note that if the steps_per_execution argument to compile inModel is set to N, this method will only be called everyN batches.
| Args | |
|---|---|
| batch | Integer, index of batch within the current epoch. |
| logs | Dict. Currently no data is passed to this argument for this method but that may change in the future. |
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.
Note that if the steps_per_execution argument to compile inModel is set to N, this method will only be called everyN batches.
| Args | |
|---|---|
| batch | Integer, index of batch within the current epoch. |
| logs | Dict. Aggregated metric results up until this batch. |
on_train_begin
on_train_begin(
logs=None
)
Called at the beginning of training.
Subclasses should override for any actions to run.
| Args | |
|---|---|
| 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.
| Args | |
|---|---|
| logs | Dict. Currently the output of the last call toon_epoch_end() 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
)