Transform¶

class Transform[source]¶

Bases: etna.core.mixins.SaveMixin, etna.core.saving.AbstractSaveable, etna.core.mixins.BaseMixin

Base class to create any transforms to apply to data.

Methods

`fit`(df)	Fit feature model.
`fit_transform`(df)	May be reimplemented.
`inverse_transform`(df)	Inverse transforms dataframe.
`load`(path)	Load an object.
`save`(path)	Save the object.
`to_dict`()	Collect all information about etna object in dict.
`transform`(df)	Transform dataframe.

abstract fit(df: pandas.core.frame.DataFrame) → etna.transforms.base.Transform[source]¶

Fit feature model.

Should be implemented by user.

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

May be reimplemented. But it is not recommended.

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

Inverse transforms dataframe.

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

Transform dataframe.

Should be implemented by user