RNN¶
- class daart.models.rnn.RNN(hparams, type='encoder', in_size=None, hid_size=None, out_size=None)[source]¶
Bases:
BaseModelMethods Summary
forward(x, **kwargs)Process input data.
Methods Documentation
- forward(x, **kwargs)[source]¶
Process input data.
- Parameters:
x (torch.Tensor object) – input data of shape (n_sequences, sequence_length, n_markers)
- Returns:
shape (n_sequences, sequence_length, n) where n is the embedding dimension if an encoder, or n_markers if a decoder/predictor
- Return type:
torch.Tensor