FilterFeaturesTransform

class FilterFeaturesTransform(include: Optional[Sequence[str]] = None, exclude: Optional[Sequence[str]] = None, return_features: bool = False)

Bases: etna.transforms.base.ReversibleTransform

Filters features in each segment of the dataframe.

Create instance of FilterFeaturesTransform.

Parameters

• include (Optional[Sequence[str]]) – list of columns to pass through filter

• exclude (Optional[Sequence[str]]) – list of columns to not pass through

• return_features (bool) – indicates whether to return features or not.

Raises

ValueError: – if both options set or non of them

Inherited-members

Methods

fit(ts)	Fit the transform.
fit_transform(ts)	Fit and transform TSDataset.
get_regressors_info()	Return the list with regressors created by the transform.
inverse_transform(ts)	Inverse transform TSDataset.
load(path)	Load an object.
params_to_tune()	Get grid for tuning hyperparameters.
save(path)	Save the object.
set_params(**params)	Return new object instance with modified parameters.
to_dict()	Collect all information about etna object in dict.
transform(ts)	Transform TSDataset inplace.

get_regressors_info() → List[str]

Return the list with regressors created by the transform.

Return type

List[str]