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PMML Gradient Boosted Trees Predictor (deprecated)

Analytics Mining Decision Tree Ensemble Gradient Boosting Classification
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This node has been deprecated and its use is not recommended. Please search for updated nodes instead.

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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 .

Node details

Input ports
  1. Type: PMML
    Model
    Gradient Boosted Trees model in PMML format.
  2. Type: Table
    Input Data
    The data to predict.
Output ports
  1. Type: Table
    Output Data
    The predicted data.

Extension

The PMML Gradient Boosted Trees Predictor (deprecated) node is part of this extension:

Related workflows & nodes

  1. Learn a Gradient Boosted Trees model
    Classification Machine learning Gradient boosting
    +3
    This workflow shows how to learn a Gradient Boosted Trees model on the adult data set.
    knime > Examples > 04_Analytics > 04_Classification_and_Predictive_Modelling > 05_Gradient_Boosted_Trees
  2. Learn a Gradient Boosted Trees model
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    This workflow shows how to learn a Gradient Boosted Trees model on the adult data set.
    atomnous > Public > 04_Classification_and_Predictive_Modelling > 05_Gradient_Boosted_Trees
  3. Learn a Gradient Boosted Trees model
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    This workflow shows how to learn a Gradient Boosted Trees model on the adult data set.
    amfita > Public > 05_Gradient_Boosted_Trees
  4. KNIME_project 1
    dmtr_dr > Public > KNIME_project 1