Package org.apache.spark.ml.feature
Class Normalizer
Object
org.apache.spark.ml.PipelineStage
org.apache.spark.ml.Transformer
org.apache.spark.ml.UnaryTransformer<Vector,Vector,Normalizer>
  
org.apache.spark.ml.feature.Normalizer
- All Implemented Interfaces:
- Serializable,- org.apache.spark.internal.Logging,- Params,- HasInputCol,- HasOutputCol,- DefaultParamsWritable,- Identifiable,- MLWritable
public class Normalizer
extends UnaryTransformer<Vector,Vector,Normalizer>
implements DefaultParamsWritable  
Normalize a vector to have unit norm using the given p-norm.
- See Also:
- 
Nested Class SummaryNested classes/interfaces inherited from interface org.apache.spark.internal.Loggingorg.apache.spark.internal.Logging.LogStringContext, org.apache.spark.internal.Logging.SparkShellLoggingFilter
- 
Constructor SummaryConstructors
- 
Method SummaryModifier and TypeMethodDescriptiondoublegetP()static Normalizerp()Normalization in L^p^ space.static MLReader<T>read()setP(double value) toString()transformSchema(StructType schema) Check transform validity and derive the output schema from the input schema.uid()An immutable unique ID for the object and its derivatives.Methods inherited from class org.apache.spark.ml.UnaryTransformercopy, inputCol, outputCol, setInputCol, setOutputCol, transformMethods inherited from class org.apache.spark.ml.Transformertransform, transform, transformMethods inherited from class org.apache.spark.ml.PipelineStageparamsMethods inherited from class java.lang.Objectequals, getClass, hashCode, notify, notifyAll, wait, wait, waitMethods inherited from interface org.apache.spark.ml.util.DefaultParamsWritablewriteMethods inherited from interface org.apache.spark.ml.param.shared.HasInputColgetInputColMethods inherited from interface org.apache.spark.ml.param.shared.HasOutputColgetOutputColMethods inherited from interface org.apache.spark.internal.LogginginitializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, isTraceEnabled, log, logBasedOnLevel, logDebug, logDebug, logDebug, logDebug, logError, logError, logError, logError, logInfo, logInfo, logInfo, logInfo, logName, LogStringContext, logTrace, logTrace, logTrace, logTrace, logWarning, logWarning, logWarning, logWarning, MDC, org$apache$spark$internal$Logging$$log_, org$apache$spark$internal$Logging$$log__$eq, withLogContextMethods inherited from interface org.apache.spark.ml.util.MLWritablesaveMethods inherited from interface org.apache.spark.ml.param.Paramsclear, copyValues, defaultCopy, defaultParamMap, estimateMatadataSize, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn
- 
Constructor Details- 
Normalizer
- 
Normalizerpublic Normalizer()
 
- 
- 
Method Details- 
load
- 
read
- 
uidDescription copied from interface:IdentifiableAn immutable unique ID for the object and its derivatives.- Specified by:
- uidin interface- Identifiable
- Returns:
- (undocumented)
 
- 
pNormalization in L^p^ space. Must be greater than equal to 1. (default: p = 2)- Returns:
- (undocumented)
 
- 
getPpublic double getP()
- 
setP
- 
transformSchemaDescription copied from class:PipelineStageCheck transform validity and derive the output schema from the input schema.We check validity for interactions between parameters during transformSchemaand raise an exception if any parameter value is invalid. Parameter value checks which do not depend on other parameters are handled byParam.validate().Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks. - Overrides:
- transformSchemain class- UnaryTransformer<Vector,- Vector, - Normalizer> 
- Parameters:
- schema- (undocumented)
- Returns:
- (undocumented)
 
- 
toString- Specified by:
- toStringin interface- Identifiable
- Overrides:
- toStringin class- Object
 
 
-