Independent Component Analysis (Apply)

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

The Component uses the Python Extension to perform the ICA with the Python Class “FastICA: a fast algorithm for Independent Component Analysis” in the sci-kit learn library (https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.FastICA.html).

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

Input ports

1. Type: Python
   Input table
   The table that contains numeric columns to be decomposed.
2. Type: Table
   Pickled Object
   The pickled object used to transform the input table.

Output ports

1. Type: Table
   Result table
   The resulting table containing the original columns and the single components.