Python Transform (Apply)

This Component transforms values of the columns to normalized values by using the pickled object provided at input. This Component has to be used along with the twin Component Python Transform. This Component outputs the standalone normalised values or appends them with Suffix to the original columns based on the selection in the configuration panel.

DATA INPUT REQUIREMENTS
- The input data should have numerical columns that were used in the twin Component Python Transform.
- The Python Pickled Object from the twin Component Python Transform.

Options

Transformed columns output option

Select the option to choose how the Transformed columns must be sent as output

Append Transformed columns enabled - Suffix

Specify the suffix to be used in case the "Append Transfomed columns with Suffix" option is enabled

Nodes

• Component Input3 ×
• Component Output3 ×
• CASE Switch Variable (Start)2 ×
• Column Appender2 ×
• Column Filter2 ×
• Breakpoint1 ×
• CASE Switch Data (End)1 ×
• CASE Switch Data (Start)1 ×
• Column Rename (Regex)1 ×
• Conda Environment Propagation1 ×
• Extract Table Dimension1 ×
• Merge Variables1 ×
• Python Script (legacy)1 ×
• Rule Engine Variable1 ×
• Single Selection Configuration1 ×
• String Configuration1 ×
• String Manipulation (Variable)1 ×
• Table Row to Variable1 ×

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Javasnippet
• FeatureKNIME Python 2 Integration (legacy)
• FeatureKNIME Quick Forms

Links

• No links available