gnes.encoder.text.w2v module

class gnes.encoder.text.w2v.Word2VecEncoder(model_dir: str, skiprows: int = 1, dimension: int = 300, pooling_strategy: str = 'REDUCE_MEAN', *args, **kwargs)[source]

Bases: gnes.encoder.base.BaseTextEncoder

encode(text: List[str], *args, **kwargs) → numpy.ndarray[source]
is_trained = True
post_init()[source]

Declare class attributes/members that can not be serialized in standard way

train(*args, **kwargs)

Train the model, need to be overrided