Python Transform

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.

Options

One hot encoding of Target column

Check the box, if the Target column has to be one hot encoded

Feature Column Selection:

Select the columns which should be used for transformation. Domain accepted: Number (Integer), Number (double), Number (long)

Select the Target column:

Select the Target column that would be appended to the output along with the transformed columns.

Nodes

• Component Input4 ×
• Component Output4 ×
• Table Row to Variable4 ×
• Column Appender2 ×
• Merge Variables2 ×
• Show all 21 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Basic File System Connectors
• FeatureKNIME Javasnippet
• FeatureKNIME Python 2 Integration (legacy)
• FeatureKNIME Quick Forms

Links

• No links available