pytorch_forecasting.models.rnn._rnn_pkg.RecurrentNetwork_pkg

class pytorch_forecasting.models.rnn._rnn_pkg.RecurrentNetwork_pkg

RecurrentNetwork package container.

Construct BaseObject.

__init__()

Construct BaseObject.

Methods

__delattr__(name, /)	Implement delattr(self, name).
__dir__()	Default dir() implementation.
__eq__(other)	Equality dunder.
__format__(format_spec, /)	Default object formatter.
__ge__(value, /)	Return self>=value.
__getattribute__(name, /)	Return getattr(self, name).
__getstate__()	Helper for pickle.
__gt__(value, /)	Return self>value.
__init_subclass__	This method is called when a class is subclassed.
__le__(value, /)	Return self<=value.
__lt__(value, /)	Return self<value.
__ne__(value, /)	Return self!=value.
__new__(*args, **kwargs)
__reduce__()	Helper for pickle.
__reduce_ex__(protocol, /)	Helper for pickle.
__repr__([n_char_max])	Represent class as string.
__setattr__(name, value, /)	Implement setattr(self, name, value).
__sizeof__()	Size of object in memory, in bytes.
__str__()	Return str(self).
__subclasshook__	Abstract classes can override this to customize issubclass().
_alias_params(d, valid_params)	Replace shorthands in d by full keys from valid_params.
_clone_flags(estimator[, flag_names, ...])	clone/mirror flags from another estimator as dynamic override.
_components([base_class])	Return references to all state changing BaseObject type attributes.
_get_class_flag(flag_name[, ...])	Get flag value from estimator class (only class flags).
_get_class_flags([flag_attr_name])	Get class flags from estimator class and all its parent classes.
_get_clone_plugins()	Get clone plugins for BaseObject.
_get_flag(flag_name[, flag_value_default, ...])	Get flag value from estimator class and dynamic flag overrides.
_get_flags([flag_attr_name])	Get flags from estimator class and dynamic flag overrides.
_get_init_signature()	Get class init signature.
_get_test_dataloaders_from(params)	Get dataloaders from parameters.
_has_implementation_of(method)	Check if method has a concrete implementation in this class.
_init_flags([flag_attr_name])	Create dynamic flag dictionary in self.
_repr_html_inner()	Return HTML representation of class.
_repr_mimebundle_(**kwargs)	Mime bundle used by jupyter kernels to display instances of BaseObject.
_safe_init_test_params(params)	Safe init of cls with params for testing.
_set_flags([flag_attr_name])	Set dynamic flags to given values.
clone()	Obtain a clone of the object with same hyper-parameters and config.
clone_tags(estimator[, tag_names])	Clone tags from another object as dynamic override.
create_test_instance([parameter_set])	Construct an instance of the class, using first test parameter set.
create_test_instances_and_names([parameter_set])	Create list of all test instances and a list of names for them.
get_base_test_params()	Return testing parameter settings for the trainer.
get_class_tag(tag_name[, tag_value_default])	Get class tag value from class, with tag level inheritance from parents.
get_class_tags()	Get class tags from class, with tag level inheritance from parent classes.
get_cls()	Get model class.
get_config()	Get config flags for self.
get_param_defaults()	Get object's parameter defaults.
get_param_names([sort])	Get object's parameter names.
get_params([deep])	Get a dict of parameters values for this object.
get_tag(tag_name[, tag_value_default, ...])	Get tag value from instance, with tag level inheritance and overrides.
get_tags()	Get tags from instance, with tag level inheritance and overrides.
get_test_params([parameter_set])	Return testing parameter settings for the skbase object.
is_composite()	Check if the object is composed of other BaseObjects.
name()	Get model name.
reset()	Reset the object to a clean post-init state.
set_config(**config_dict)	Set config flags to given values.
set_params(**params)	Set the parameters of this object.
set_random_state([random_state, deep, ...])	Set random_state pseudo-random seed parameters for self.
set_tags(**tag_dict)	Set instance level tag overrides to given values.

Attributes

__annotations__
__dict__
__doc__
__hash__
__module__
__weakref__	list of weak references to the object
_config
_repr_html_	HTML representation of BaseObject.
_tags