Package org.apache.spark.ml.util
Class DatasetUtils
Object
org.apache.spark.ml.util.DatasetUtils
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Constructor SummaryConstructors
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Method SummaryModifier and TypeMethodDescriptioncolumnToOldVector(Dataset<?> dataset, String colName) static ColumncolumnToVector(Dataset<?> dataset, String colName) Cast a column in a Dataset to Vector type.static org.apache.spark.internal.Logging.LogStringContextLogStringContext(scala.StringContext sc) static org.slf4j.Loggerstatic voidorg$apache$spark$internal$Logging$$log__$eq(org.slf4j.Logger x$1) 
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Constructor Details- 
DatasetUtilspublic DatasetUtils()
 
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Method Details- 
columnToVectorCast a column in a Dataset to Vector type.The supported data types of the input column are - Vector - float/double type Array. Note: The returned column does not have Metadata. - Parameters:
- dataset- input DataFrame
- colName- column name.
- Returns:
- Vector column
 
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columnToOldVector
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org$apache$spark$internal$Logging$$log_public static org.slf4j.Logger org$apache$spark$internal$Logging$$log_()
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org$apache$spark$internal$Logging$$log__$eqpublic static void org$apache$spark$internal$Logging$$log__$eq(org.slf4j.Logger x$1) 
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LogStringContextpublic static org.apache.spark.internal.Logging.LogStringContext LogStringContext(scala.StringContext sc) 
 
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