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.
- Type: PythonInput tableThe table that contains numeric columns to be decomposed.
- Type: TablePickled ObjectThe pickled object used to transform the input table.