View source on GitHub |
Container abstracting a list of callbacks.
tf.keras.callbacks.CallbackList(
callbacks=None, add_history=False, add_progbar=False, model=None, **params
)
Args | |
---|---|
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
append(
callback
)
make_logs
make_logs(
model, logs, outputs, mode, prefix=''
)
Computes logs for sending to on_batch_end
methods.
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
)
Calls the on_epoch_begin
methods of its callbacks.
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
)
Calls the on_epoch_end
methods of its callbacks.
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_ .
|
on_predict_batch_begin
on_predict_batch_begin(
batch, logs=None
)
Calls the on_predict_batch_begin
methods of its callbacks.
Args | |
---|---|
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
on_predict_batch_end(
batch, logs=None
)
Calls the on_predict_batch_end
methods of its callbacks.
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
)
Calls the 'on_predict_begin` methods of its callbacks.
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
)
Calls the on_predict_end
methods of its callbacks.
Args | |
---|---|
logs
|
Dict. Currently, no data is passed via this argument for this method, but that may change in the future. |
on_test_batch_begin
on_test_batch_begin(
batch, logs=None
)
Calls the on_test_batch_begin
methods of its callbacks.
Args | |
---|---|
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
on_test_batch_end(
batch, logs=None
)
Calls the on_test_batch_end
methods of its callbacks.
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
)
Calls the on_test_begin
methods of its callbacks.
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
)
Calls the on_test_end
methods of its callbacks.
Args | |
---|---|
logs
|
Dict. Currently, no data is passed via this argument for this method, but that may change in the future. |
on_train_batch_begin
on_train_batch_begin(
batch, logs=None
)
Calls the on_train_batch_begin
methods of its callbacks.
Args | |
---|---|
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
on_train_batch_end(
batch, logs=None
)
Calls the on_train_batch_end
methods of its callbacks.
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
)
Calls the on_train_begin
methods of its callbacks.
Args | |
---|---|
logs
|
Dict. Currently, no data is passed via this argument for this method, but that may change in the future. |
on_train_end
on_train_end(
logs=None
)
Calls the on_train_end
methods of its callbacks.
Args | |
---|---|
logs
|
Dict. Currently, no data is passed via this argument for this method, but that may change in the future. |
set_model
set_model(
model
)
set_params
set_params(
params
)
__iter__
__iter__()