inferpy.contextmanager package

Submodules

inferpy.contextmanager.data_model module

inferpy.contextmanager.data_model.datamodel(size=None)

This context is used to declare a plateau model. Random Variables and Parameters will use a sample_shape defined by the argument size, or by the data_model.fit. If size is not specified, the default size 1, or the size specified by fit will be used.

inferpy.contextmanager.data_model.fit(size)

inferpy.contextmanager.data_model.get_sample_shape(name)

This function must be used inside a datamodel context (it is not checked here) If the parameters are not already expanded, then are now expanded.

name (str):

The name of the variable to get its sample shape

returns:

the sample_shape (number of samples of the datamodel). It is an integer, or ().

inferpy.contextmanager.data_model.is_active()

inferpy.contextmanager.evidence module

inferpy.contextmanager.evidence.observe(variables, data)

inferpy.contextmanager.layer_registry module

inferpy.contextmanager.layer_registry.add_sequential(sequential)

inferpy.contextmanager.layer_registry.get_losses()

inferpy.contextmanager.layer_registry.init(graph=None)

inferpy.contextmanager.randvar_registry module

inferpy.contextmanager.randvar_registry.get_graph()

inferpy.contextmanager.randvar_registry.get_var_parameters()

inferpy.contextmanager.randvar_registry.get_variable(name)

inferpy.contextmanager.randvar_registry.get_variable_or_parameter(name)

inferpy.contextmanager.randvar_registry.init(graph=None)

inferpy.contextmanager.randvar_registry.is_building_graph()

inferpy.contextmanager.randvar_registry.is_default()

inferpy.contextmanager.randvar_registry.register_parameter(p)

inferpy.contextmanager.randvar_registry.register_variable(rv)

inferpy.contextmanager.randvar_registry.restart_default()

inferpy.contextmanager.randvar_registry.update_graph(rv_name=None)

Module contents