Normalizer

This node normalizes the values of all selected (numeric) columns. In the dialog, you can choose the columns you want to work on.

Options

Number columns

Select the numerical columns to normalize.

Normalization method

The normalization method to use.

Min-max: Linear transformation of all values such that the minimum and maximum in each column correspond to the values set below.
Z-score: 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.
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.

Minimum

Specifies the new minimum for the normalized columns. Only active for min-max normalization.

Maximum

Specifies the new maximum for the normalized columns. Only active for min-max normalization.

: Table with normalized columns.
: Model containing normalization parameters, which can be used in a "Normalizer (Apply)" node to normalize test data the same way as the training data has been normalized.

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To use this node in KNIME, install the extension KNIME Base nodes from the below update site following our NodePit Product and Node Installation Guide:

v5.3

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.3.0.v202407050813

On NodePit since: 2024-07-09

Last update: 2024-07-26

KNIME versions: Since v3.6

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