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XGBoost Predictor (Regression)

StreamableKNIME XGBoost Integration version 4.3.1.v202101261634 by KNIME AG, Zurich, Switzerland

Applies a regression XGBoost model to predict data.

Options

Change prediction column name
Select if you want to specify a custom name for the prediction column. Otherwise a default column name based on the target column is used.
Prediction column name
The name of the prediction column.
Batch size
The number of rows to predict together. Mostly relevant for streaming execution, where it can be beneficial to use a small batch size to allow downstream nodes to already begin execution. For standard batch execution larger values are typically faster but require more memory.

Input Ports

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The XGBoost model.
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The data to predict.

Output Ports

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The data with the appended prediction.

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

To use this node in KNIME, install KNIME XGBoost Integration from the following update site:

KNIME 4.3

A zipped version of the software site can be downloaded here.

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Developers

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