object PreXGBoost extends PreXGBoostProvider
PreXGBoost serves preparing data before training and transform
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def
buildDatasetToRDD(estimator: Estimator[_], dataset: Dataset[_], params: Map[String, Any]): (XGBoostExecutionParams) ⇒ (RDD[() ⇒ Watches], Option[RDD[_]])
Convert the Dataset[_] to RDD[() => Watches] which will be fed to XGBoost
Convert the Dataset[_] to RDD[() => Watches] which will be fed to XGBoost
- estimator
supports XGBoostClassifier and XGBoostRegressor
- dataset
the training data
- params
all user defined and defaulted params
- returns
XGBoostExecutionParams => (RDD=> Watches, Option[ RDD[_] ]) RDD[() => Watches] will be used as the training input Option[RDD[_]\] is the optional cached RDD
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- PreXGBoost → PreXGBoostProvider
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def
providerEnabled(dataset: Option[Dataset[_]]): Boolean
Whether the provider is enabled or not
Whether the provider is enabled or not
- dataset
the input dataset
- returns
Boolean
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- PreXGBoostProvider
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def
transformDataset(model: Model[_], dataset: Dataset[_]): DataFrame
Transform Dataset
Transform Dataset
- model
supporting XGBoostClassificationModel and XGBoostRegressionModel
- dataset
the input Dataset to transform
- returns
the transformed DataFrame
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- PreXGBoost → PreXGBoostProvider
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def
transformSchema(xgboostEstimator: XGBoostEstimatorCommon, schema: StructType): StructType
Transform schema
Transform schema
- xgboostEstimator
supporting XGBoostClassifier/XGBoostClassificationModel and XGBoostRegressor/XGBoostRegressionModel
- schema
the input schema
- returns
the transformed schema
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- PreXGBoost → PreXGBoostProvider
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