Sklearn Lasso Regression Learner (Labs)

Learns Lasso Regression implemented by scikit-learn library. It is a linear regression model trained with L1 prior as regularizer.

The model is trained with the selected numerical target column, and feature columns (can be numerical or nominal) from the input table. By default, the rightmost numerical column is selected as the target column and all the remaining numerical columns are selected as features.

Input ports

1. Type: Table
   Input table

   Numerical and nominal columns can be selected as feature columns from this table, and the target column must be numerical.

Output ports

1. Type: org.knime.python3.nodes.PythonBinaryBlobFileStorePortObject
   Trained model

   Trained Lasso regression model.