dlpy.layers.EmbeddingLoss

class dlpy.layers.EmbeddingLoss(name=None, margin=2, src_layers=None, **kwargs)

EmbeddingLoss layer

Parameters

namestring, optional

Specifies the name of the layer.

margindouble, optional

Specifies the margin value that defines a radius for dissimilar pair contributions. Default: 2

src_layersiter-of-Layers, optional

Specifies the layers directed to this layer.

Returns

EmbeddingLoss

__init__(name=None, margin=2, src_layers=None, **kwargs)

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

Methods

__init__([name, margin, src_layers])	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
kernel_size
layer_id
num_bias
num_weights
number_of_instances
output_size
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