gnes.encoder.base module

class gnes.encoder.base.BaseAudioEncoder(*args, **kwargs)

Bases: gnes.encoder.base.BaseEncoder

encode(data, *args, **kwargs)

Return type:ndarray

train(*args, **kwargs)

Train the model, need to be overrided

class gnes.encoder.base.BaseBinaryEncoder(*args, **kwargs)

Bases: gnes.encoder.base.BaseEncoder

encode(data, *args, **kwargs)

Return type:bytes

train(*args, **kwargs)

Train the model, need to be overrided

class gnes.encoder.base.BaseEncoder(*args, **kwargs)

Bases: gnes.base.TrainableBase

encode(data, *args, **kwargs)

Return type:Any

train(*args, **kwargs)

Train the model, need to be overrided

class gnes.encoder.base.BaseImageEncoder(*args, **kwargs)

Bases: gnes.encoder.base.BaseEncoder

encode(img, *args, **kwargs)

Return type:ndarray

train(*args, **kwargs)

Train the model, need to be overrided

class gnes.encoder.base.BaseNumericEncoder(*args, **kwargs)

Bases: gnes.encoder.base.BaseEncoder

Note that all NumericEncoder can not be used as the first encoder of the pipeline

encode(data, *args, **kwargs)

Return type:ndarray

train(*args, **kwargs)

Train the model, need to be overrided

class gnes.encoder.base.BaseTextEncoder(*args, **kwargs)

Bases: gnes.encoder.base.BaseEncoder

encode(text, *args, **kwargs)

Return type:Union[Tuple, ndarray]

train(*args, **kwargs)

Train the model, need to be overrided

class gnes.encoder.base.BaseVideoEncoder(*args, **kwargs)

Bases: gnes.encoder.base.BaseEncoder

encode(data, *args, **kwargs)

Return type:Union[ndarray, List[ndarray]]

train(*args, **kwargs)

Train the model, need to be overrided

class gnes.encoder.base.PipelineEncoder(*args, **kwargs)

Bases: gnes.base.CompositionalTrainableBase

encode(data, *args, **kwargs)

Return type:Any

train(data, *args, **kwargs)

Train the model, need to be overrided