Package org.apache.spark.ml.feature
Class PolynomialExpansion
Object
org.apache.spark.ml.PipelineStage
org.apache.spark.ml.Transformer
org.apache.spark.ml.UnaryTransformer<Vector,Vector,PolynomialExpansion>
  
org.apache.spark.ml.feature.PolynomialExpansion
- All Implemented Interfaces:
- Serializable,- org.apache.spark.internal.Logging,- Params,- HasInputCol,- HasOutputCol,- DefaultParamsWritable,- Identifiable,- MLWritable
public class PolynomialExpansion
extends UnaryTransformer<Vector,Vector,PolynomialExpansion>
implements DefaultParamsWritable  
Perform feature expansion in a polynomial space. As said in wikipedia of Polynomial Expansion,
 which is available at
 Polynomial expansion (Wikipedia)
 , "In mathematics, an expansion of a product of sums expresses it as a sum of products by using
 the fact that multiplication distributes over addition". Take a 2-variable feature vector
 as an example: 
(x, y), if we want to expand it with degree 2, then we get
 (x, x * x, y, x * y, y * y).- See Also:
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Nested Class SummaryNested classes/interfaces inherited from interface org.apache.spark.internal.Loggingorg.apache.spark.internal.Logging.LogStringContext, org.apache.spark.internal.Logging.SparkShellLoggingFilter
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Constructor SummaryConstructors
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Method SummaryModifier and TypeMethodDescriptionCreates a copy of this instance with the same UID and some extra params.degree()The polynomial degree to expand, which should be greater than equal to 1.intstatic PolynomialExpansionstatic MLReader<T>read()setDegree(int value) toString()uid()An immutable unique ID for the object and its derivatives.Methods inherited from class org.apache.spark.ml.UnaryTransformerinputCol, outputCol, setInputCol, setOutputCol, transform, transformSchemaMethods 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$2, isTraceEnabled, log, logDebug, logDebug, logDebug, logDebug, logError, logError, logError, logError, logInfo, logInfo, logInfo, logInfo, logName, LogStringContext, logTrace, logTrace, logTrace, logTrace, logWarning, logWarning, logWarning, logWarning, org$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, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn
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Constructor Details- 
PolynomialExpansion
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PolynomialExpansionpublic PolynomialExpansion()
 
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Method Details- 
load
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read
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uidDescription copied from interface:IdentifiableAn immutable unique ID for the object and its derivatives.- Specified by:
- uidin interface- Identifiable
- Returns:
- (undocumented)
 
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degreeThe polynomial degree to expand, which should be greater than equal to 1. A value of 1 means no expansion. Default: 2- Returns:
- (undocumented)
 
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getDegreepublic int getDegree()
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setDegree
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copyDescription copied from interface:ParamsCreates a copy of this instance with the same UID and some extra params. Subclasses should implement this method and set the return type properly. SeedefaultCopy().- Specified by:
- copyin interface- Params
- Overrides:
- copyin class- UnaryTransformer<Vector,- Vector, - PolynomialExpansion> 
- Parameters:
- extra- (undocumented)
- Returns:
- (undocumented)
 
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toString- Specified by:
- toStringin interface- Identifiable
- Overrides:
- toStringin class- Object
 
 
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