Sklearn Classification Predictor (Labs)

The Classification Predictor Node accepts a trained model from any of the classification learner nodes and computes the predicted class for each row of the given input table. Optionally, class probability estimates for each row can also be predicted.

It is only executable if the test data contains the columns that are used by the learner model.

Input ports

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

   Trained classification predictor model.

2. Type: Table
   Input Data

   All feature columns used for training must also be present in the table for prediction.

Output ports

1. Type: Table
   Output Data

   The input table concatenated with a predictions column and optionally class probabilities.