LostTech.TensorFlow : API Documentation

Type Callback

Namespace tensorflow.keras.callbacks

Parent PythonObjectContainer

Interfaces ICallback

Abstract base class used to build new callbacks.

Methods

Properties

Public instance methods

void on_batch_begin(int batch, IDictionary<string, object> logs)

A backwards compatibility alias for `on_train_batch_begin`.

object on_batch_begin_dyn(object batch, object logs)

A backwards compatibility alias for `on_train_batch_begin`.

void on_batch_end(int batch, IDictionary<string, object> logs)

A backwards compatibility alias for `on_train_batch_end`.

object on_batch_end_dyn(object batch, object logs)

A backwards compatibility alias for `on_train_batch_end`.

void on_epoch_begin(int epoch, IDictionary<string, object> logs)

Called at the start of an epoch.

Subclasses should override for any actions to run. This function should only be called during TRAIN mode.
Parameters
int epoch
integer, index of epoch.
IDictionary<string, object> logs
dict. Currently no data is passed to this argument for this method but that may change in the future.

object on_epoch_begin_dyn(object epoch, object logs)

Called at the start of an epoch.

Subclasses should override for any actions to run. This function should only be called during TRAIN mode.
Parameters
object epoch
integer, index of epoch.
object logs
dict. Currently no data is passed to this argument for this method but that may change in the future.

void on_epoch_end(int epoch, IDictionary<string, object> logs)

Called at the end of an epoch.

Subclasses should override for any actions to run. This function should only be called during TRAIN mode.
Parameters
int epoch
integer, index of epoch.
IDictionary<string, object> logs
dict, metric results for this training epoch, and for the validation epoch if validation is performed. Validation result keys are prefixed with `val_`.

object on_epoch_end_dyn(object epoch, object logs)

Called at the end of an epoch.

Subclasses should override for any actions to run. This function should only be called during TRAIN mode.
Parameters
object epoch
integer, index of epoch.
object logs
dict, metric results for this training epoch, and for the validation epoch if validation is performed. Validation result keys are prefixed with `val_`.

object on_test_batch_begin_dyn(object batch, object logs)

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.
Parameters
object batch
integer, index of batch within the current epoch.
object logs
dict. Has keys `batch` and `size` representing the current batch number and the size of the batch.

object on_test_batch_end_dyn(object batch, object logs)

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.
Parameters
object batch
integer, index of batch within the current epoch.
object logs
dict. Metric results for this batch.

object on_train_batch_begin_dyn(object batch, object logs)

Called at the beginning of a training batch in `fit` methods.

Subclasses should override for any actions to run.
Parameters
object batch
integer, index of batch within the current epoch.
object logs
dict. Has keys `batch` and `size` representing the current batch number and the size of the batch.

object on_train_batch_end_dyn(object batch, object logs)

Called at the end of a training batch in `fit` methods.

Subclasses should override for any actions to run.
Parameters
object batch
integer, index of batch within the current epoch.
object logs
dict. Metric results for this batch.

void set_model_(Model model)

object set_model_dyn_(object model)

void set_params_(IDictionary<string, object> params)

object set_params_dyn_(object params)

Public properties

object model get; set;

object params get; set;

object PythonObject get;

object validation_data get; set;