PMML Gradient Boosted Trees Predictor (deprecated)

Predictor

Applies classification from a Gradient Boosted Trees model that is provided in PMML format. Note that it is currently not possible to load models that were learned on a bit-, byte- or double-vector column and then written to PMML because PMML does not support vector columns. The implementation follows the algorithms described in "Greedy Function Approximation: A Gradient Boosting Machine" by Jerome H. Friedman (1999)". For more information you can also take a look at this .

Input Ports

  1. Type: PMML Gradient Boosted Trees model in PMML format.
  2. Type: Data The data to predict.

Output Ports

  1. Type: Data The predicted data.

Find here

Analytics > Mining > Decision Tree Ensemble > Gradient Boosting > Classification

Make sure to have this extension installed:

KNIME Core

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

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