OneToOneTransformer
- class lightautoml.transformers.text.OneToOneTransformer(default_params=None, freeze_defaults=False)[source]
Bases:
TunableTransformer
Out-of-fold sgd model prediction to reduce dimension of encoded text data.
- property features
Features list.
- init_params_on_input(dataset)[source]
Get model parameters depending on dataset parameters.
- Parameters:
dataset (
Union
[NumpyDataset
,PandasDataset
]) – NumpyOrPandas.- Return type:
- Returns:
Parameters of model.
- fit(dataset)[source]
Apply fit transform.
- Parameters:
dataset (
Union
[NumpyDataset
,PandasDataset
]) – Pandas or Numpy dataset of encoded text features.- Returns:
self.
- fit_transform(dataset)[source]
Fit and predict out-of-fold sgd model.
- Parameters:
dataset (
Union
[NumpyDataset
,PandasDataset
]) – Pandas or Numpy dataset of encoded text features.- Return type:
- Returns:
Numpy dataset with out-of-fold model prediction.
- transform(dataset)[source]
Transform dataset to out-of-fold model-based encoding.
- Parameters:
dataset (
Union
[NumpyDataset
,PandasDataset
]) – Pandas or Numpy dataset of encoded text features.- Return type:
- Returns:
Numpy dataset with out-of-fold model prediction.