bacpipe.model_pipelines.feature_extractors.bat

Functions

`getSequences`(spectrogram, patch_len, ...)
`prepareData`(y)
`slideWindow`(a, size, step)

Classes

`BAT`(max_len, patch_dim, d_model, num_classes)	Classifier based on a pytorch TransformerEncoder.
`Model`([threshold])
`ModelBaseClass`(sr, segment_length, model_name)

class bacpipe.model_pipelines.feature_extractors.bat.Model(threshold=0.5, **kwargs)[source]