Singular Value Decomposition (Apply)

This Component applies an existing SVD model given numeric columns and appends the components as new columns to the input table.

The Component uses the Python Extension to perform the SVD with the Python Class “Dimensionality reduction using truncated SVD (aka LSA)” in the sci-kit learn library (https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html).

The corresponding Component that allows to fit the model is called Single Value Decomposition.

Options

Select columns
The numeric columns to which the component applies the SVD.

Input Ports

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The table that contains numeric columns to be decomposed.
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The pickled object used to transform the input table.

Output Ports

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The resulting table containing the original columns and the single components.

Nodes

Extensions

Links

Download

To use this component in KNIME, download it from the below URL and open it in KNIME:

Download Component
On NodePit since: 2023-04-13
Last update: 2024-12-17
Created with KNIME version: v4.7.2

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