OneSegmentTransform¶

class OneSegmentTransform[source]¶

Bases: abc.ABC, etna.core.mixins.BaseMixin

Base class to create one segment transforms to apply to data.

Methods

`fit`(df)	Fit the transform.
`fit_transform`(df)	Fit and transform Dataframe.
`inverse_transform`(df)	Inverse transform Dataframe.
`set_params`(**params)	Return new object instance with modified parameters.
`to_dict`()	Collect all information about etna object in dict.
`transform`(df)	Transform dataframe.

abstract fit(df: pandas.core.frame.DataFrame)[source]¶

Fit the transform.

Should be implemented by user.

Parameters: df (pandas.core.frame.DataFrame) – Dataframe in etna long format.

fit_transform(df: pandas.core.frame.DataFrame) → pandas.core.frame.DataFrame[source]¶

Fit and transform Dataframe.

May be reimplemented. But it is not recommended.

Parameters: df (pandas.core.frame.DataFrame) – Dataframe in etna long format to transform.
Returns: Transformed Dataframe.
Return type: pandas.core.frame.DataFrame

abstract inverse_transform(df: pandas.core.frame.DataFrame) → pandas.core.frame.DataFrame[source]¶

Inverse transform Dataframe.

Should be reimplemented in the subclasses where necessary.

Parameters: df (pandas.core.frame.DataFrame) – Dataframe in etna long format to be inverse transformed.
Returns: Dataframe after applying inverse transformation.
Return type: pandas.core.frame.DataFrame

abstract transform(df: pandas.core.frame.DataFrame) → pandas.core.frame.DataFrame[source]¶

Transform dataframe.

Should be implemented by user

Parameters: df (pandas.core.frame.DataFrame) – Dataframe in etna long format.
Returns: Transformed Dataframe in etna long format.
Return type: pandas.core.frame.DataFrame