Package com.rapidminer.operator.preprocessing.series.filter

Containing preprocessing operators for (time) series filtering.

See:
Description

Class Summary

CumulateSeries	Generates a cumulative series from another series.
DifferentiateSeries	This operator extracts changes from a numerical time series by comparing actual series values with past (lagged) values.
ExponentialSmoothing	Creates a new series attribute which contains the original series exponentially smoothed.
IndexSeries	Creates an index series from an original series.
LagSeries	Adds lagged series attributes for the specified attributes.
MovingAverage	Creates a new series attribute which contains the moving average of a series.
SeriesMissingValueReplenishment	Replaces missing values in time series.
Trend	Adds a trend line for a specified series attributes by regressing a dummy variable onto the series attribute.

Package com.rapidminer.operator.preprocessing.series.filter Description

Containing preprocessing operators for (time) series filtering.