Class and Description |
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Discretize
An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes.
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Class and Description |
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PLSFilter
Runs Partial Least Square Regression over the given instances and computes the resulting beta matrix for prediction.
By default it replaces missing values and centers the data. For more information see: Tormod Naes, Tomas Isaksson, Tom Fearn, Tony Davies (2002). |
Class and Description |
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NominalToBinary
Converts all nominal attributes into binary numeric attributes.
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Class and Description |
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NominalToBinary
Converts all nominal attributes into binary numeric attributes.
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Class and Description |
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Discretize
An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes.
|
Class and Description |
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NominalToBinary
Converts all nominal attributes into binary numeric attributes.
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