matchzoo.models.mvlstm

An implementation of MVLSTM Model.

Module Contents

Classes

MVLSTM

MVLSTM Model.

class matchzoo.models.mvlstm.MVLSTM(params: typing.Optional[ParamTable] = None)

Bases: matchzoo.engine.base_model.BaseModel

MVLSTM Model.

Examples

>>> model = MVLSTM()
>>> model.params['hidden_size'] = 32
>>> model.params['top_k'] = 50
>>> model.params['mlp_num_layers'] = 2
>>> model.params['mlp_num_units'] = 20
>>> model.params['mlp_num_fan_out'] = 10
>>> model.params['mlp_activation_func'] = 'relu'
>>> model.params['dropout_rate'] = 0.0
>>> model.guess_and_fill_missing_params(verbose=0)
>>> model.build()

classmethod get_default_params(cls) → ParamTable

Returns

model default parameters.

classmethod get_default_padding_callback(cls, fixed_length_left: int = 10, fixed_length_right: int = 40, pad_word_value: typing.Union[int, str] = 0, pad_word_mode: str = 'pre', with_ngram: bool = False, fixed_ngram_length: int = None, pad_ngram_value: typing.Union[int, str] = 0, pad_ngram_mode: str = 'pre') → BaseCallback

Model default padding callback.

The padding callback’s on_batch_unpacked would pad a batch of data to a fixed length.

Returns

Default padding callback.

build(self)

Build model structure.

forward(self, inputs)

Forward.