- Type: TablePort 0Input Data.
This Component transforms values of the user selected columns to normalized values by standardizing them across their mean values. The Component uses the Python Extension to perform the normalization with the Python Class “Standard Scaler preprocessing” in the Scikit learn library (https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html). This Component outputs the normalized values along with the Python Pickled Object that contains the parameters used for normalisation. DATA INPUT REQUIREMENTS - The input data should have numerical columns which can be transformed.
- Type: TablePort 0Transformed columns as per the user selection in the configuration panel.
- Type: PythonPort 1Python Pickle Object which can be used to normalise the data, based on the normalisation parameters used in this Component.
Used extensions & nodes
Created with KNIME Analytics Platform version 4.3.2 Note: Not all extensions may be displayed.
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