models

Class IndependentGaussianModel

java.lang.Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

org.apache.spark.ml.Model<IndependentGaussianModel>

models.IndependentGaussianModel

All Implemented Interfaces:

java.io.Serializable, org.apache.spark.internal.Logging, org.apache.spark.ml.param.Params, org.apache.spark.ml.util.Identifiable, org.apache.spark.ml.util.MLReadable<IndependentGaussianModel>, org.apache.spark.ml.util.MLWritable

public class IndependentGaussianModel
extends org.apache.spark.ml.Model<IndependentGaussianModel>
implements org.apache.spark.ml.util.MLWritable, org.apache.spark.ml.util.MLReadable<IndependentGaussianModel>

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
IndependentGaussianModel(java.lang.String inputColName, java.lang.String outProbColumnName, java.lang.String outDecisionColumnName, double[] meanValues, double[] stdValues, double decisionThreshold)

Method Summary

Modifier and Type	Method and Description
IndependentGaussianModel	copy(org.apache.spark.ml.param.ParamMap paramMap)
double	getDecisionThreshold()
java.lang.String	getInputColName()
double[]	getMeanValues()
java.lang.String	getOutDecisionColumnName()
java.lang.String	getOutProbColumnName()
double[]	getStdValues()
IndependentGaussianModel	load(java.lang.String path)
org.apache.spark.ml.util.MLReader<IndependentGaussianModel>	read()
void	save(java.lang.String path)
org.apache.spark.sql.Dataset<org.apache.spark.sql.Row>	transform(org.apache.spark.sql.Dataset dataset)
org.apache.spark.sql.types.StructType	transformSchema(org.apache.spark.sql.types.StructType structType)
java.lang.String	uid()
IndependentGaussianWriter	write()

Methods inherited from class org.apache.spark.ml.Model

hasParent, parent_$eq, parent, setParent

Methods inherited from class org.apache.spark.ml.Transformer

transform, transform, transform

Methods inherited from class org.apache.spark.ml.PipelineStage

$, clear, copyValues, copyValues$default$2, defaultCopy, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, initializeLogIfNecessary, isDefined, isSet, isTraceEnabled, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning, org$apache$spark$internal$Logging$$log__$eq, org$apache$spark$internal$Logging$$log_, org$apache$spark$ml$param$Params$_setter_$org$apache$spark$ml$param$Params$$defaultParamMap_$eq, org$apache$spark$ml$param$Params$_setter_$org$apache$spark$ml$param$Params$$paramMap_$eq, org$apache$spark$ml$param$Params$$defaultParamMap, org$apache$spark$ml$param$Params$$paramMap, params, set, set, set, setDefault, setDefault, toString, transformSchema, validateParams

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

IndependentGaussianModel

public IndependentGaussianModel(java.lang.String inputColName,
                                java.lang.String outProbColumnName,
                                java.lang.String outDecisionColumnName,
                                double[] meanValues,
                                double[] stdValues,
                                double decisionThreshold)

Method Detail

getInputColName

public java.lang.String getInputColName()

getOutProbColumnName

public java.lang.String getOutProbColumnName()

getOutDecisionColumnName

public java.lang.String getOutDecisionColumnName()

getMeanValues

public double[] getMeanValues()

getStdValues

public double[] getStdValues()

getDecisionThreshold

public double getDecisionThreshold()

transform

public org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> transform(org.apache.spark.sql.Dataset dataset)

Specified by:

transform in class org.apache.spark.ml.Transformer

transformSchema

public org.apache.spark.sql.types.StructType transformSchema(org.apache.spark.sql.types.StructType structType)

Specified by:

transformSchema in class org.apache.spark.ml.PipelineStage

copy

public IndependentGaussianModel copy(org.apache.spark.ml.param.ParamMap paramMap)

Specified by:

copy in interface org.apache.spark.ml.param.Params

Specified by:

copy in class org.apache.spark.ml.Model<IndependentGaussianModel>

uid

public java.lang.String uid()

Specified by:

uid in interface org.apache.spark.ml.util.Identifiable

read

public org.apache.spark.ml.util.MLReader<IndependentGaussianModel> read()

Specified by:

read in interface org.apache.spark.ml.util.MLReadable<IndependentGaussianModel>

load

public IndependentGaussianModel load(java.lang.String path)

Specified by:

load in interface org.apache.spark.ml.util.MLReadable<IndependentGaussianModel>

write

public IndependentGaussianWriter write()

Specified by:

write in interface org.apache.spark.ml.util.MLWritable

save

public void save(java.lang.String path)
          throws java.io.IOException

Specified by:

save in interface org.apache.spark.ml.util.MLWritable

Throws:

java.io.IOException