MikeYeh/XGBPaclet | Paclet Repository

MikeYeh`XGBPaclet`

XgbMeasurement

XgbMeasurement[python_session,model_name_or_file_name,{datatarget}]
	XgbMeasurement[] use the given xgboost session, and the given model name or the file_name for loading model to predict the test data and evaluate the Xgboost model. The test data must be of the format {data->target}

XgbMeasurement[python_session,{datatarget}]
	XgbMeasurement[] use the given xgboost session to call the default "testmodel"to predict the test data and evaluate the Xgboost model. The test data must be of the format {data->target}

XgbMeasurement[python_session,model_name_or_file_name,{dataNone}]
	gbMeasurement[] use the given xgboost session, and the given model name or the file_name for loading model to predict the data with no target labels provided, where the data is still in the format {data->None}.

Details and Options

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Examples

(14)

Basic Examples

(6)

Create Python sessions

(2)

A XGBoost python session is required before using XgbMeasurement[].
The following code creates the xgb python session with minimum required packages : xgboost, scikit-learn==1.5.2, and matplotlib.

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