Autofeat Apply

Takes as input 'autofeat' model (or a model created by Autofeat Generator) and KNIME DataFrame. Output of the component is a dataset with generated features concatenated to input dataset.

The autofeat project is Copyright (c) 2016 by its authors and released under MIT License (https://github.com/cod3licious/autofeat/blob/master/LICENSE).

Input ports

1. Type: Table
   DataIn
   Input dataset for which features are to be generated. May not contain any missing values.
2. Type: Python
   ModelIN
   autofeat model already trained on a similar dataset. Columns at port 'DataIn' must match with the 'train' dataset on which autofeat model was prepared.

Output ports

1. Type: Table
   DataOut
   Output data with features generated by 'autofeat' model.