edu.columbia.tjw.item.spark

Class ItemClassificationModel

java.lang.Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

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

org.apache.spark.ml.PredictionModel<FeaturesType,M>

org.apache.spark.ml.classification.ClassificationModel<FeaturesType,M>

org.apache.spark.ml.classification.ProbabilisticClassificationModel<org.apache.spark.ml.linalg.Vector,ItemClassificationModel>

edu.columbia.tjw.item.spark.ItemClassificationModel

All Implemented Interfaces:

Serializable, org.apache.spark.internal.Logging, org.apache.spark.ml.classification.ClassifierParams, org.apache.spark.ml.classification.ProbabilisticClassifierParams, org.apache.spark.ml.param.Params, org.apache.spark.ml.param.shared.HasFeaturesCol, org.apache.spark.ml.param.shared.HasLabelCol, org.apache.spark.ml.param.shared.HasPredictionCol, org.apache.spark.ml.param.shared.HasProbabilityCol, org.apache.spark.ml.param.shared.HasRawPredictionCol, org.apache.spark.ml.param.shared.HasThresholds, org.apache.spark.ml.PredictorParams, org.apache.spark.ml.util.Identifiable

public class ItemClassificationModel
extends org.apache.spark.ml.classification.ProbabilisticClassificationModel<org.apache.spark.ml.linalg.Vector,ItemClassificationModel>

Author:

tyler

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ItemClassificationModel(edu.columbia.tjw.item.fit.FitResult<edu.columbia.tjw.item.base.SimpleStatus,edu.columbia.tjw.item.base.SimpleRegressor,edu.columbia.tjw.item.base.StandardCurveType> fitResult_, ItemClassifierSettings settings_)

Method Summary

Modifier and Type	Method and Description
ItemClassificationModel	copy(org.apache.spark.ml.param.ParamMap arg0)
edu.columbia.tjw.item.fit.FitResult<edu.columbia.tjw.item.base.SimpleStatus,edu.columbia.tjw.item.base.SimpleRegressor,edu.columbia.tjw.item.base.StandardCurveType>	getFitResult()
edu.columbia.tjw.item.ItemParameters<edu.columbia.tjw.item.base.SimpleStatus,edu.columbia.tjw.item.base.SimpleRegressor,edu.columbia.tjw.item.base.StandardCurveType>	getParams()
ItemClassifierSettings	getSettings()
static ItemClassificationModel	load(String filename_)
int	numClasses()
org.apache.spark.ml.linalg.Vector	predictRaw(org.apache.spark.ml.linalg.Vector allRegressors_)
org.apache.spark.ml.linalg.Vector	raw2probabilityInPlace(org.apache.spark.ml.linalg.Vector rawProbabilities_)
void	save(String fileName_)
String	uid()

Methods inherited from class org.apache.spark.ml.classification.ProbabilisticClassificationModel

getProbabilityCol, getThresholds, normalizeToProbabilitiesInPlace, org$apache$spark$ml$param$shared$HasProbabilityCol$_setter_$probabilityCol_$eq, org$apache$spark$ml$param$shared$HasThresholds$_setter_$thresholds_$eq, predictProbability, probability2prediction, probabilityCol, raw2prediction, raw2probability, setProbabilityCol, setThresholds, thresholds, transform, validateAndTransformSchema

Methods inherited from class org.apache.spark.ml.classification.ClassificationModel

getRawPredictionCol, org$apache$spark$ml$param$shared$HasRawPredictionCol$_setter_$rawPredictionCol_$eq, predict, rawPredictionCol, setRawPredictionCol

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

featuresCol, featuresDataType, getFeaturesCol, getLabelCol, getPredictionCol, labelCol, numFeatures, org$apache$spark$ml$param$shared$HasFeaturesCol$_setter_$featuresCol_$eq, org$apache$spark$ml$param$shared$HasLabelCol$_setter_$labelCol_$eq, org$apache$spark$ml$param$shared$HasPredictionCol$_setter_$predictionCol_$eq, predictionCol, setFeaturesCol, setPredictionCol, transformImpl, transformSchema

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

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.apache.spark.ml.param.shared.HasLabelCol

getLabelCol, labelCol, org$apache$spark$ml$param$shared$HasLabelCol$_setter_$labelCol_$eq

Methods inherited from interface org.apache.spark.ml.param.shared.HasFeaturesCol

featuresCol, getFeaturesCol, org$apache$spark$ml$param$shared$HasFeaturesCol$_setter_$featuresCol_$eq

Methods inherited from interface org.apache.spark.ml.param.shared.HasPredictionCol

getPredictionCol, org$apache$spark$ml$param$shared$HasPredictionCol$_setter_$predictionCol_$eq, predictionCol

Methods inherited from interface org.apache.spark.ml.param.Params

$, clear, copyValues, copyValues$default$2, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, org$apache$spark$ml$param$Params$_setter_$defaultParamMap_$eq, org$apache$spark$ml$param$Params$_setter_$paramMap_$eq, paramMap, params, set, set, set, setDefault, setDefault

Methods inherited from interface org.apache.spark.ml.util.Identifiable

toString

Methods inherited from interface org.apache.spark.ml.param.shared.HasRawPredictionCol

getRawPredictionCol, org$apache$spark$ml$param$shared$HasRawPredictionCol$_setter_$rawPredictionCol_$eq, rawPredictionCol

Constructor Detail

ItemClassificationModel

public ItemClassificationModel(edu.columbia.tjw.item.fit.FitResult<edu.columbia.tjw.item.base.SimpleStatus,edu.columbia.tjw.item.base.SimpleRegressor,edu.columbia.tjw.item.base.StandardCurveType> fitResult_,
                               ItemClassifierSettings settings_)

Method Detail

getSettings

public ItemClassifierSettings getSettings()

raw2probabilityInPlace

public org.apache.spark.ml.linalg.Vector raw2probabilityInPlace(org.apache.spark.ml.linalg.Vector rawProbabilities_)

Specified by:

raw2probabilityInPlace in class org.apache.spark.ml.classification.ProbabilisticClassificationModel<org.apache.spark.ml.linalg.Vector,ItemClassificationModel>

numClasses

public int numClasses()

Specified by:

numClasses in class org.apache.spark.ml.classification.ClassificationModel<org.apache.spark.ml.linalg.Vector,ItemClassificationModel>

predictRaw

public org.apache.spark.ml.linalg.Vector predictRaw(org.apache.spark.ml.linalg.Vector allRegressors_)

Specified by:

predictRaw in class org.apache.spark.ml.classification.ClassificationModel<org.apache.spark.ml.linalg.Vector,ItemClassificationModel>

copy

public ItemClassificationModel copy(org.apache.spark.ml.param.ParamMap arg0)

Specified by:

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

Specified by:

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

uid

public String uid()

getFitResult

public edu.columbia.tjw.item.fit.FitResult<edu.columbia.tjw.item.base.SimpleStatus,edu.columbia.tjw.item.base.SimpleRegressor,edu.columbia.tjw.item.base.StandardCurveType> getFitResult()

getParams

public final edu.columbia.tjw.item.ItemParameters<edu.columbia.tjw.item.base.SimpleStatus,edu.columbia.tjw.item.base.SimpleRegressor,edu.columbia.tjw.item.base.StandardCurveType> getParams()

save

public void save(String fileName_)
          throws IOException

Throws:

IOException

load

public static ItemClassificationModel load(String filename_)
                                    throws IOException

Throws:

IOException