dlpy.layers.Proj

class dlpy.layers.Proj(embedding_size, alphabet_size, name=None, init=None, std=None, mean=None, truncation_factor=None, src_layers=None, **kwargs)

Bases: dlpy.layers.Layer

Projection layer

Parameters:

embedding_size : int

Specifies the size of the embedding.

alphabet_size : int

Specifies the size of the alphabet.

name : string, optional

Specifies the name of the layer.

init : string, optional

Specifies the initialization scheme for the layer.
Valid Values: XAVIER, UNIFORM, NORMAL, CAUCHY, XAVIER1, XAVIER2, MSRA, MSRA1, MSRA2
Default: XAVIER

std : float, optional

Specifies the standard deviation value when the init parameter is set to NORMAL.

mean : float, optional

Specifies the mean value when the init parameter is set to NORMAL.

truncation_factor : float, optional

Specifies the truncation threshold (truncationFactor x std), when the init parameter is set to NORMAL

src_layers : iter-of-Layers, optional

Specifies the layers directed to this layer.

Returns:

Proj

__init__(embedding_size, alphabet_size, name=None, init=None, std=None, mean=None, truncation_factor=None, src_layers=None, **kwargs)

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(embedding_size, alphabet_size[, …])	Initialize self.
count_instances()
format_name([block_num, local_count])	Format the name of the layer
get_number_of_instances()
to_model_params()	Convert the model configuration to CAS action parameters