XGBoost Predictor

Applies a classification 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.
Append individual class probabilities
Check if the output table should also contain for each row the probabilities of it belonging to each class.
Suffix for individual class probabilities
The suffix to append to the column names of the probability columns. This can be useful to distinguish probabilities predicted from different models.
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.

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