Package org.apache.spark.ml.util
Class DatasetUtils
Object
org.apache.spark.ml.util.DatasetUtils
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Constructor Summary
Constructors - 
Method Summary
Modifier 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
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DatasetUtils
public DatasetUtils() 
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Method Details
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columnToVector
Cast 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 DataFramecolName- 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_() - 
org$apache$spark$internal$Logging$$log__$eq
public static void org$apache$spark$internal$Logging$$log__$eq(org.slf4j.Logger x$1)  - 
LogStringContext
public static org.apache.spark.internal.Logging.LogStringContext LogStringContext(scala.StringContext sc)  
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