Regression Predictor (deprecated)

Predictor

Predicts the response using a regression model. The node needs to be connected to a regression node model* and some test data. It is only executable if the test data contains the columns that are used by the learner model. This node appends a new columns to the input table containing the prediction for each row.

*You can use nodes like the linear regression, polynomial regression and the logistic regression node to create regression models.

Input Ports

  1. Type: PMML The regression model
  2. Type: Data Table for prediction. Missing values will give missing values in the output.

Output Ports

  1. Type: Data Table from input with an additional prediction column.

Find here

Analytics > Mining > Linear/Polynomial Regression

Make sure to have this extension installed:

KNIME Core

Update site for KNIME Analytics Platform 3.7:
KNIME Analytics Platform 3.7 Update Site

How to install extensions