callback_lambda
Create a custom callback
Description
This callback is constructed with anonymous functions that will be called at the appropriate time. Note that the callbacks expects positional arguments, as:
Usage
callback_lambda(
on_epoch_begin = NULL,
on_epoch_end = NULL,
on_batch_begin = NULL,
on_batch_end = NULL,
on_train_batch_begin = NULL,
on_train_batch_end = NULL,
on_train_begin = NULL,
on_train_end = NULL,
on_predict_batch_begin = NULL,
on_predict_batch_end = NULL,
on_predict_begin = NULL,
on_predict_end = NULL,
on_test_batch_begin = NULL,
on_test_batch_end = NULL,
on_test_begin = NULL,
on_test_end = NULL
)
Arguments
Arguments | Description |
---|---|
on_epoch_begin | called at the beginning of every epoch. |
on_epoch_end | called at the end of every epoch. |
on_batch_begin | called at the beginning of every training batch. |
on_batch_end | called at the end of every training batch. |
on_train_batch_begin | called at the beginning of every batch. |
on_train_batch_end | called at the end of every batch. |
on_train_begin | called at the beginning of model training. |
on_train_end | called at the end of model training. |
on_predict_batch_begin | called at the beginning of a batch in predict methods. |
on_predict_batch_end | called at the end of a batch in predict methods. |
on_predict_begin | called at the beginning of prediction. |
on_predict_end | called at the end of prediction. |
on_test_batch_begin | 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. |
on_test_batch_end | 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. |
on_test_begin | called at the beginning of evaluation or validation. |
on_test_end | called at the end of evaluation or validation. |
Details
on_epoch_begin
andon_epoch_end
expect two positional arguments:epoch
,logs
on_batch_*
,on_train_batch_*
,on_predict_batch_*
andon_test_batch_*
, expect two positional arguments:batch
,logs
on_train_*
,on_test_*
andon_predict_*
expect one positional argument:logs
See Also
Other callbacks: callback_csv_logger()
, callback_early_stopping()
, callback_learning_rate_scheduler()
, callback_model_checkpoint()
, callback_progbar_logger()
, callback_reduce_lr_on_plateau()
, callback_remote_monitor()
, callback_tensorboard()
, callback_terminate_on_naan()