matchzoo.models.dssm

An implementation of DSSM, Deep Structured Semantic Model.

Module Contents

class matchzoo.models.dssm.DSSM

Bases: matchzoo.engine.base_model.BaseModel

Deep structured semantic model.

Examples

>>> model = DSSM()
>>> model.params['mlp_num_layers'] = 3
>>> model.params['mlp_num_units'] = 300
>>> model.params['mlp_num_fan_out'] = 128
>>> model.params['mlp_activation_func'] = 'relu'
>>> model.guess_and_fill_missing_params(verbose=0)
>>> model.build()

classmethod get_default_params(cls)

Returns:model default parameters.

classmethod get_default_preprocessor(cls, truncated_mode: str = 'pre', truncated_length_left: typing.Optional[int] = None, truncated_length_right: typing.Optional[int] = None, filter_mode: str = 'df', filter_low_freq: float = 1, filter_high_freq: float = float('inf'), remove_stop_words: bool = False, ngram_size: typing.Optional[int] = 3)

Model default preprocessor.

The preprocessor’s transform should produce a correctly shaped data pack that can be used for training.

Returns:Default preprocessor.

classmethod get_default_padding_callback(cls)

Returns:Default padding callback.

build(self)

Build model structure.

DSSM use Siamese arthitecture.

forward(self, inputs)

Forward.