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
,scala.Serializable
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 Summary
Nested classes/interfaces inherited from interface org.apache.spark.internal.Logging
org.apache.spark.internal.Logging.SparkShellLoggingFilter
-
Constructor Summary
-
Method Summary
Modifier and TypeMethodDescriptiondouble
getP()
static Normalizer
p()
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.UnaryTransformer
copy, inputCol, outputCol, setInputCol, setOutputCol, transform
Methods inherited from class org.apache.spark.ml.Transformer
transform, transform, transform
Methods inherited from class org.apache.spark.ml.PipelineStage
params
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
Methods inherited from interface org.apache.spark.ml.util.DefaultParamsWritable
write
Methods inherited from interface org.apache.spark.ml.param.shared.HasInputCol
getInputCol
Methods inherited from interface org.apache.spark.ml.param.shared.HasOutputCol
getOutputCol
Methods inherited from interface org.apache.spark.internal.Logging
initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, isTraceEnabled, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning, org$apache$spark$internal$Logging$$log_, org$apache$spark$internal$Logging$$log__$eq
Methods inherited from interface org.apache.spark.ml.util.MLWritable
save
Methods inherited from interface org.apache.spark.ml.param.Params
clear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn
-
Constructor Details
-
Normalizer
-
Normalizer
public Normalizer()
-
-
Method Details
-
load
-
read
-
uid
Description copied from interface:Identifiable
An immutable unique ID for the object and its derivatives.- Specified by:
uid
in interfaceIdentifiable
- Returns:
- (undocumented)
-
p
Normalization in L^p^ space. Must be greater than equal to 1. (default: p = 2)- Returns:
- (undocumented)
-
getP
public double getP() -
setP
-
transformSchema
Description copied from class:PipelineStage
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 byParam.validate()
.Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks.
- Overrides:
transformSchema
in classUnaryTransformer<Vector,
Vector, Normalizer> - Parameters:
schema
- (undocumented)- Returns:
- (undocumented)
-
toString
- Specified by:
toString
in interfaceIdentifiable
- Overrides:
toString
in classObject
-