GWR Predictor

Geographically Weighted Regression Predictor. It will predict the dependent variable using the model and the input table.

Note: The input table should not contain missing values. You can use the Missing Value node to replace them.

Input ports

1. Type: Table
   Input Table

   Input table for Geographically Weighted Regression Predictor

2. Type: org.knime.python3.nodes.PythonBinaryBlobFileStorePortObject
   Model

   Model for Geographically Weighted Regression Predictor

Output ports

1. Type: Table
   Output Table

   Output table with predictions for Geographically Weighted Regression Predictor