deeppavlov.core.models¶
Abstract model classes and interfaces.
-
class
deeppavlov.core.models.component.
Component
[source]¶ Abstract class for all callables that could be used in Chainer’s pipe.
-
class
deeppavlov.core.models.serializable.
Serializable
(save_path: Union[str, pathlib.Path], load_path: Union[str, pathlib.Path, None] = None, mode: str = 'infer', *args, **kwargs)[source]¶ deeppavlov.models.model.serializable.Serializable
is an abstract base class that expresses the interface for all models that can serialize data to a path.
-
class
deeppavlov.core.models.estimator.
Estimator
(save_path: Union[str, pathlib.Path], load_path: Union[str, pathlib.Path, None] = None, mode: str = 'infer', *args, **kwargs)[source]¶ Abstract class for components that could be fitted on the data as a whole.
-
class
deeppavlov.core.models.nn_model.
NNModel
(save_path: Union[str, pathlib.Path], load_path: Union[str, pathlib.Path, None] = None, mode: str = 'infer', *args, **kwargs)[source]¶ Abstract class for deep learning components.
-
class
deeppavlov.core.models.tf_backend.
TfModelMeta
[source]¶ Metaclass that helps all child classes to have their own graph and session.
-
class
deeppavlov.core.models.tf_model.
TFModel
(*args, **kwargs)[source]¶ Parent class for all components using TensorFlow.
-
class
deeppavlov.core.models.keras_model.
KerasModel
(**kwargs)[source]¶ Builds Keras model with TensorFlow backend.
-
opt
¶ dictionary with all model parameters
-
model
¶ keras model itself
-
epochs_done
¶ number of epochs that were done
-
batches_seen
¶ number of epochs that were seen
-
train_examples_seen
¶ number of training samples that were seen
-
sess
¶ tf session
-
optimizer
¶ keras.optimizers instance
-