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)

Projection layer

Parameters

embedding_sizeint

Specifies the size of the embedding.

alphabet_sizeint

Specifies the size of the alphabet.

namestring, optional

Specifies the name of the layer.

initstring, optional

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

stdfloat, optional

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

meanfloat, optional

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

truncation_factorfloat, optional

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

src_layersiter-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

Attributes

can_be_last_layer
layer_id
number_of_instances
rnn_summary	Return a DataFrame containing the layer information for rnn models
summary	Return a DataFrame containing the layer information
type
type_desc
type_label