StandardScalerModel (Spark 3.5.5 JavaDoc) (original) (raw)

• Object

• • org.apache.spark.ml.PipelineStage
  • • org.apache.spark.ml.Transformer
      • • org.apache.spark.ml.Model<StandardScalerModel>
          * * org.apache.spark.ml.feature.StandardScalerModel

• All Implemented Interfaces:
  java.io.Serializable, org.apache.spark.internal.Logging, StandardScalerParams, Params, HasInputCol, HasOutputCol, Identifiable, MLWritable

public class StandardScalerModel
extends Model<StandardScalerModel>
implements StandardScalerParams, MLWritable
Model fitted by StandardScaler.
param: std Standard deviation of the StandardScalerModel param: mean Mean of the StandardScalerModel
See Also:
Serialized Form

• • Nested Class Summary

     * ### Nested classes/interfaces inherited from interface org.apache.spark.internal.Logging  
     `org.apache.spark.internal.Logging.SparkShellLoggingFilter`  

  • Method Summary

  All Methods Static Methods Instance Methods Concrete Methods

  Modifier and Type	Method and Description
  StandardScalerModel	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
  Param	inputCol() Param for input column name.
  static StandardScalerModel	load(String path)
  Vector	mean()
  Param	outputCol() Param for output column name.
  static MLReader<StandardScalerModel>	read()
  StandardScalerModel	setInputCol(String value)
  StandardScalerModel	setOutputCol(String value)
  Vector	std()
  String	toString()
  Dataset<Row>	transform(Dataset<?> dataset) Transforms the input dataset.
  StructType	transformSchema(StructType schema) Check transform validity and derive the output schema from the input schema.
  String	uid() An immutable unique ID for the object and its derivatives.
  BooleanParam	withMean() Whether to center the data with mean before scaling.
  BooleanParam	withStd() Whether to scale the data to unit standard deviation.
  MLWriter	write() Returns an MLWriter instance for this ML instance.

     * ### Methods inherited from class org.apache.spark.ml.[Model](../../../../../org/apache/spark/ml/Model.html "class in org.apache.spark.ml")  
     `[hasParent](../../../../../org/apache/spark/ml/Model.html#hasParent--), [parent](../../../../../org/apache/spark/ml/Model.html#parent--), [setParent](../../../../../org/apache/spark/ml/Model.html#setParent-org.apache.spark.ml.Estimator-)`  
     * ### Methods inherited from class org.apache.spark.ml.[Transformer](../../../../../org/apache/spark/ml/Transformer.html "class in org.apache.spark.ml")  
     `[transform](../../../../../org/apache/spark/ml/Transformer.html#transform-org.apache.spark.sql.Dataset-org.apache.spark.ml.param.ParamMap-), [transform](../../../../../org/apache/spark/ml/Transformer.html#transform-org.apache.spark.sql.Dataset-org.apache.spark.ml.param.ParamPair-org.apache.spark.ml.param.ParamPair...-), [transform](../../../../../org/apache/spark/ml/Transformer.html#transform-org.apache.spark.sql.Dataset-org.apache.spark.ml.param.ParamPair-scala.collection.Seq-)`  
     * ### Methods inherited from class org.apache.spark.ml.[PipelineStage](../../../../../org/apache/spark/ml/PipelineStage.html "class in org.apache.spark.ml")  
     `[params](../../../../../org/apache/spark/ml/PipelineStage.html#params--)`  
     * ### Methods inherited from class Object  
     `equals, getClass, hashCode, notify, notifyAll, wait, wait, wait`  
     * ### Methods inherited from interface org.apache.spark.ml.feature.[StandardScalerParams](../../../../../org/apache/spark/ml/feature/StandardScalerParams.html "interface in org.apache.spark.ml.feature")  
     `[getWithMean](../../../../../org/apache/spark/ml/feature/StandardScalerParams.html#getWithMean--), [getWithStd](../../../../../org/apache/spark/ml/feature/StandardScalerParams.html#getWithStd--), [validateAndTransformSchema](../../../../../org/apache/spark/ml/feature/StandardScalerParams.html#validateAndTransformSchema-org.apache.spark.sql.types.StructType-)`  
     * ### Methods inherited from interface org.apache.spark.ml.param.shared.[HasInputCol](../../../../../org/apache/spark/ml/param/shared/HasInputCol.html "interface in org.apache.spark.ml.param.shared")  
     `[getInputCol](../../../../../org/apache/spark/ml/param/shared/HasInputCol.html#getInputCol--)`  
     * ### Methods inherited from interface org.apache.spark.ml.param.shared.[HasOutputCol](../../../../../org/apache/spark/ml/param/shared/HasOutputCol.html "interface in org.apache.spark.ml.param.shared")  
     `[getOutputCol](../../../../../org/apache/spark/ml/param/shared/HasOutputCol.html#getOutputCol--)`  
     * ### Methods inherited from interface org.apache.spark.ml.param.[Params](../../../../../org/apache/spark/ml/param/Params.html "interface in org.apache.spark.ml.param")  
     `[clear](../../../../../org/apache/spark/ml/param/Params.html#clear-org.apache.spark.ml.param.Param-), [copyValues](../../../../../org/apache/spark/ml/param/Params.html#copyValues-T-org.apache.spark.ml.param.ParamMap-), [defaultCopy](../../../../../org/apache/spark/ml/param/Params.html#defaultCopy-org.apache.spark.ml.param.ParamMap-), [defaultParamMap](../../../../../org/apache/spark/ml/param/Params.html#defaultParamMap--), [explainParam](../../../../../org/apache/spark/ml/param/Params.html#explainParam-org.apache.spark.ml.param.Param-), [explainParams](../../../../../org/apache/spark/ml/param/Params.html#explainParams--), [extractParamMap](../../../../../org/apache/spark/ml/param/Params.html#extractParamMap--), [extractParamMap](../../../../../org/apache/spark/ml/param/Params.html#extractParamMap-org.apache.spark.ml.param.ParamMap-), [get](../../../../../org/apache/spark/ml/param/Params.html#get-org.apache.spark.ml.param.Param-), [getDefault](../../../../../org/apache/spark/ml/param/Params.html#getDefault-org.apache.spark.ml.param.Param-), [getOrDefault](../../../../../org/apache/spark/ml/param/Params.html#getOrDefault-org.apache.spark.ml.param.Param-), [getParam](../../../../../org/apache/spark/ml/param/Params.html#getParam-java.lang.String-), [hasDefault](../../../../../org/apache/spark/ml/param/Params.html#hasDefault-org.apache.spark.ml.param.Param-), [hasParam](../../../../../org/apache/spark/ml/param/Params.html#hasParam-java.lang.String-), [isDefined](../../../../../org/apache/spark/ml/param/Params.html#isDefined-org.apache.spark.ml.param.Param-), [isSet](../../../../../org/apache/spark/ml/param/Params.html#isSet-org.apache.spark.ml.param.Param-), [onParamChange](../../../../../org/apache/spark/ml/param/Params.html#onParamChange-org.apache.spark.ml.param.Param-), [paramMap](../../../../../org/apache/spark/ml/param/Params.html#paramMap--), [params](../../../../../org/apache/spark/ml/param/Params.html#params--), [set](../../../../../org/apache/spark/ml/param/Params.html#set-org.apache.spark.ml.param.Param-T-), [set](../../../../../org/apache/spark/ml/param/Params.html#set-org.apache.spark.ml.param.ParamPair-), [set](../../../../../org/apache/spark/ml/param/Params.html#set-java.lang.String-java.lang.Object-), [setDefault](../../../../../org/apache/spark/ml/param/Params.html#setDefault-org.apache.spark.ml.param.Param-T-), [setDefault](../../../../../org/apache/spark/ml/param/Params.html#setDefault-scala.collection.Seq-), [shouldOwn](../../../../../org/apache/spark/ml/param/Params.html#shouldOwn-org.apache.spark.ml.param.Param-)`  
     * ### Methods inherited from interface org.apache.spark.ml.util.[MLWritable](../../../../../org/apache/spark/ml/util/MLWritable.html "interface in org.apache.spark.ml.util")  
     `[save](../../../../../org/apache/spark/ml/util/MLWritable.html#save-java.lang.String-)`  
     * ### Methods inherited from interface org.apache.spark.internal.Logging  
     `$init$, initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, initLock, isTraceEnabled, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning, org$apache$spark$internal$Logging$$log__$eq, org$apache$spark$internal$Logging$$log_, uninitialize`

• • Method Detail

     * #### read  
     public static [MLReader](../../../../../org/apache/spark/ml/util/MLReader.html "class in org.apache.spark.ml.util")<[StandardScalerModel](../../../../../org/apache/spark/ml/feature/StandardScalerModel.html "class in org.apache.spark.ml.feature")> read()  
     * #### load  
     public static [StandardScalerModel](../../../../../org/apache/spark/ml/feature/StandardScalerModel.html "class in org.apache.spark.ml.feature") load(String path)  
     * #### withMean  
     public [BooleanParam](../../../../../org/apache/spark/ml/param/BooleanParam.html "class in org.apache.spark.ml.param") withMean()  
     Whether to center the data with mean before scaling. It will build a dense output, so take care when applying to sparse input. Default: false  
     Specified by:  
     `[withMean](../../../../../org/apache/spark/ml/feature/StandardScalerParams.html#withMean--)` in interface `[StandardScalerParams](../../../../../org/apache/spark/ml/feature/StandardScalerParams.html "interface in org.apache.spark.ml.feature")`  
     Returns:  
     (undocumented)  
     * #### withStd  
     public [BooleanParam](../../../../../org/apache/spark/ml/param/BooleanParam.html "class in org.apache.spark.ml.param") withStd()  
     Whether to scale the data to unit standard deviation. Default: true  
     Specified by:  
     `[withStd](../../../../../org/apache/spark/ml/feature/StandardScalerParams.html#withStd--)` in interface `[StandardScalerParams](../../../../../org/apache/spark/ml/feature/StandardScalerParams.html "interface in org.apache.spark.ml.feature")`  
     Returns:  
     (undocumented)  
     * #### outputCol  
     public final [Param](../../../../../org/apache/spark/ml/param/Param.html "class in org.apache.spark.ml.param")<String> outputCol()  
     Param for output column name.  
     Specified by:  
     `[outputCol](../../../../../org/apache/spark/ml/param/shared/HasOutputCol.html#outputCol--)` in interface `[HasOutputCol](../../../../../org/apache/spark/ml/param/shared/HasOutputCol.html "interface in org.apache.spark.ml.param.shared")`  
     Returns:  
     (undocumented)  
     * #### inputCol  
     public final [Param](../../../../../org/apache/spark/ml/param/Param.html "class in org.apache.spark.ml.param")<String> inputCol()  
     Description copied from interface: `[HasInputCol](../../../../../org/apache/spark/ml/param/shared/HasInputCol.html#inputCol--)`  
     Param for input column name.  
     Specified by:  
     `[inputCol](../../../../../org/apache/spark/ml/param/shared/HasInputCol.html#inputCol--)` in interface `[HasInputCol](../../../../../org/apache/spark/ml/param/shared/HasInputCol.html "interface in org.apache.spark.ml.param.shared")`  
     Returns:  
     (undocumented)  
     * #### uid  
     public String uid()  
     An immutable unique ID for the object and its derivatives.  
     Specified by:  
     `[uid](../../../../../org/apache/spark/ml/util/Identifiable.html#uid--)` in interface `[Identifiable](../../../../../org/apache/spark/ml/util/Identifiable.html "interface in org.apache.spark.ml.util")`  
     Returns:  
     (undocumented)  
     * #### std  
     public [Vector](../../../../../org/apache/spark/ml/linalg/Vector.html "interface in org.apache.spark.ml.linalg") std()  
     * #### mean  
     public [Vector](../../../../../org/apache/spark/ml/linalg/Vector.html "interface in org.apache.spark.ml.linalg") mean()  
     * #### setInputCol  
     public [StandardScalerModel](../../../../../org/apache/spark/ml/feature/StandardScalerModel.html "class in org.apache.spark.ml.feature") setInputCol(String value)  
     * #### setOutputCol  
     public [StandardScalerModel](../../../../../org/apache/spark/ml/feature/StandardScalerModel.html "class in org.apache.spark.ml.feature") setOutputCol(String value)  
     * #### transform  
     public [Dataset](../../../../../org/apache/spark/sql/Dataset.html "class in org.apache.spark.sql")<[Row](../../../../../org/apache/spark/sql/Row.html "interface in org.apache.spark.sql")> transform([Dataset](../../../../../org/apache/spark/sql/Dataset.html "class in org.apache.spark.sql")<?> dataset)  
     Transforms the input dataset.  
     Specified by:  
     `[transform](../../../../../org/apache/spark/ml/Transformer.html#transform-org.apache.spark.sql.Dataset-)` in class `[Transformer](../../../../../org/apache/spark/ml/Transformer.html "class in org.apache.spark.ml")`  
     Parameters:  
     `dataset` \- (undocumented)  
     Returns:  
     (undocumented)  
     * #### transformSchema  
     public [StructType](../../../../../org/apache/spark/sql/types/StructType.html "class in org.apache.spark.sql.types") transformSchema([StructType](../../../../../org/apache/spark/sql/types/StructType.html "class in org.apache.spark.sql.types") schema)  
     Check transform validity and derive the output schema from the input schema.  
      We check validity for interactions between parameters during `transformSchema` and raise an exception if any parameter value is invalid. Parameter value checks which do not depend on other parameters are handled by `Param.validate()`.  
      Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks.  
     Specified by:  
     `[transformSchema](../../../../../org/apache/spark/ml/PipelineStage.html#transformSchema-org.apache.spark.sql.types.StructType-)` in class `[PipelineStage](../../../../../org/apache/spark/ml/PipelineStage.html "class in org.apache.spark.ml")`  
     Parameters:  
     `schema` \- (undocumented)  
     Returns:  
     (undocumented)  
     * #### copy  
     public [StandardScalerModel](../../../../../org/apache/spark/ml/feature/StandardScalerModel.html "class in org.apache.spark.ml.feature") copy([ParamMap](../../../../../org/apache/spark/ml/param/ParamMap.html "class in org.apache.spark.ml.param") extra)  
     Description copied from interface: `[Params](../../../../../org/apache/spark/ml/param/Params.html#copy-org.apache.spark.ml.param.ParamMap-)`  
     Creates a copy of this instance with the same UID and some extra params. Subclasses should implement this method and set the return type properly. See `defaultCopy()`.  
     Specified by:  
     `[copy](../../../../../org/apache/spark/ml/param/Params.html#copy-org.apache.spark.ml.param.ParamMap-)` in interface `[Params](../../../../../org/apache/spark/ml/param/Params.html "interface in org.apache.spark.ml.param")`  
     Specified by:  
     `[copy](../../../../../org/apache/spark/ml/Model.html#copy-org.apache.spark.ml.param.ParamMap-)` in class `[Model](../../../../../org/apache/spark/ml/Model.html "class in org.apache.spark.ml")<[StandardScalerModel](../../../../../org/apache/spark/ml/feature/StandardScalerModel.html "class in org.apache.spark.ml.feature")>`  
     Parameters:  
     `extra` \- (undocumented)  
     Returns:  
     (undocumented)  
     * #### write  
     public [MLWriter](../../../../../org/apache/spark/ml/util/MLWriter.html "class in org.apache.spark.ml.util") write()  
     Description copied from interface: `[MLWritable](../../../../../org/apache/spark/ml/util/MLWritable.html#write--)`  
     Returns an `MLWriter` instance for this ML instance.  
     Specified by:  
     `[write](../../../../../org/apache/spark/ml/util/MLWritable.html#write--)` in interface `[MLWritable](../../../../../org/apache/spark/ml/util/MLWritable.html "interface in org.apache.spark.ml.util")`  
     Returns:  
     (undocumented)  
     * #### toString  
     public String toString()  
     Specified by:  
     `[toString](../../../../../org/apache/spark/ml/util/Identifiable.html#toString--)` in interface `[Identifiable](../../../../../org/apache/spark/ml/util/Identifiable.html "interface in org.apache.spark.ml.util")`  
     Overrides:  
     `toString` in class `Object`