Normalizer (PMML)

This Node Is Deprecated — This version of the node has been replaced with a new and improved version. The old version is kept for backwards-compatibility, but for all new workflows we suggest to use the version linked below.
Go to Suggested ReplacementNormalizer (PMML)

This node normalizes the values of all (numeric) columns. In the dialog, you can choose the columns you want to work on. The following normalization methods are available in the dialog:

Options

Min-max normalization
Linear transformation of all values such that the minimum and maximum in each column are as given.
Z-score normalization
Linear transformation such that the values in each column are Gaussian-(0,1)-distributed, i.e. mean is 0.0 and standard deviation is 1.0.
Normalization by decimal scaling
The maximum value in a column (both positive and negative) is divided j-times by 10 until its absolute value is smaller or equal to 1. All values in the column are then divided by 10 to the power of j.

Input Ports

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Table requiring normalization of some or all columns.
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Optional PMML document to add the normalization operations to.

Output Ports

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Table with normalized columns.
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PMML document containing normalization parameters, which can be used in a "PMML normalize apply" node to normalize test data the same way as the training data has been normalized.

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