SVDTransformer
- class lightautoml.transformers.decomposition.SVDTransformer(subs=None, random_state=42, n_components=100)[source]
Bases:
lightautoml.transformers.base.LAMLTransformer
TruncatedSVD.
- fit(dataset)[source]
Fit algorithm on dataset.
- Parameters
dataset (
NumpyDataset
) – Sparse or Numpy dataset of text features.
- transform(dataset)[source]
Transform input dataset to SVD representation.
- Parameters
dataset (
NumpyDataset
) – Sparse or Numpy dataset of text features.- Return type
- Returns
Numpy dataset with text embeddings.