PMML Gradient Boosted Trees 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).

Options

Change prediction column name

Select to customize the name of the column containing the prediction.

Prediction column name

Name of the output column containing the prediction.

Append overall prediction confidence

Appends a column that contains information on how certain the model is about its prediction.

Append individual class probabilities

Appends for each possible class a column containing the probability that the given row is an element of this class.

Suffix for probability columns

Suffix appended to the column names containing class probabilities.

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Links

• Wikipedia: Gradient Boosting

  en.wikipedia.org/wiki/Gradient_boosting

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