Package com.rapidminer.operator.preprocessing

Operators for preprocessing purposes.

See:
Description

Class Summary

AbstractDataProcessing	Abstract super class of the AbstractExampleSetProcessing hierarchy in the preprocessing package.
AttributeSubsetPreprocessing	This operator can be used to select one attribute (or a subset) by defining a regular expression for the attribute name and applies its inner operators to the resulting subset.
Deobfuscator	This operator takes an ExampleSet as input and maps all nominal values to randomly created strings.
ExampleSetTranspose	This operator transposes an example set, i.e. the columns with become the new rows and the old rows will become the columns.
GroupByOperator	This operator creates a SplittedExampleSet from an arbitrary example set.
GuessValueTypes	This operator can be used to (re-)guess the value types of all attributes.
IdTagging	This operator adds an ID attribute to the given example set.
MaterializeDataInMemory	Creates a fresh and clean copy of the data in memory.
NoiseOperator	This operator adds random attributes and white noise to the data.
Obfuscator	This operator takes an ExampleSet as input and maps all nominal values to randomly created strings.
PreprocessingModel	Returns a more appropriate result icon.
PreprocessingOperator	Superclass for all preprocessing operators.
UseRowAsAttributeNames	This operators uses the values of the specified row of the data set as new attribute names (including both regular and special columns).

Package com.rapidminer.operator.preprocessing Description

Operators for preprocessing purposes. These classes usually perform some operation on example sets.