module timeseries.preprocessing#

Inheritance diagram of mlinsights.timeseries.preprocessing

Short summary#

module mlinsights.timeseries.preprocessing

Timeseries preprocessing.

source on GitHub

Classes#

class

truncated documentation

TimeSeriesDifference

Computes timeseries differences.

TimeSeriesDifferenceInv

Computes the reverse of TimeSeriesDifference.

Properties#

property

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_repr_html_

HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …

_repr_html_

HTML representation of estimator. This is redundant with the logic of _repr_mimebundle_. The latter should …

degree

Returns the degree.

Methods#

method

truncated documentation

__init__

__init__

fit

Stores the first values.

fit

Checks that estimator is fitted.

get_fct_inv

Returns the reverse tranform.

transform

Transforms both X and y. Returns X and y, returns sample_weight as well if not None.

transform

Transforms both X and y. Returns X and y, returns sample_weight as well if not None.

Documentation#

Timeseries preprocessing.

source on GitHub

class mlinsights.timeseries.preprocessing.TimeSeriesDifference(degree=1)#

Bases: mlinsights.timeseries.base.BaseReciprocalTimeSeriesTransformer

Computes timeseries differences.

source on GitHub

Parameters

degree – number of differences

source on GitHub

__init__(degree=1)#
Parameters

degree – number of differences

source on GitHub

property degree#

Returns the degree.

source on GitHub

fit(X, y, sample_weight=None)#

Stores the first values.

source on GitHub

get_fct_inv()#

Returns the reverse tranform.

source on GitHub

transform(X, y, sample_weight=None)#

Transforms both X and y. Returns X and y, returns sample_weight as well if not None.

source on GitHub

class mlinsights.timeseries.preprocessing.TimeSeriesDifferenceInv(estimator)#

Bases: mlinsights.timeseries.base.BaseReciprocalTimeSeriesTransformer

Computes the reverse of TimeSeriesDifference.

source on GitHub

Parameters

estimator – of type TimeSeriesDifference

source on GitHub

__init__(estimator)#
Parameters

estimator – of type TimeSeriesDifference

source on GitHub

fit(X=None, y=None, sample_weight=None)#

Checks that estimator is fitted.

source on GitHub

transform(X, y, sample_weight=None)#

Transforms both X and y. Returns X and y, returns sample_weight as well if not None.

source on GitHub