torch_frame.nn.encoder.LinearEncoder

class LinearEncoder(out_channels: Optional[int] = None, stats_list: Optional[list[dict[torch_frame.data.stats.StatType, Any]]] = None, stype: Optional[stype] = None, post_module: Optional[Module] = None, na_strategy: Optional[NAStrategy] = None)

Bases: StypeEncoder

A linear function based encoder for numerical features. It applies linear layer torch.nn.Linear(1, out_channels) on each raw numerical feature and concatenates the output embeddings. Note that the implementation does this for all numerical features in a batched manner.

reset_parameters() → None

Initialize the parameters of post_module.

encode_forward(feat: Tensor, col_names: Optional[list[str]] = None) → Tensor

The main forward function. Maps input feat from TensorFrame (shape [batch_size, num_cols]) into output x of shape [batch_size, num_cols, out_channels].