Package org.apache.spark.ml.classification

Class OneVsRestModel

Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

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

org.apache.spark.ml.classification.OneVsRestModel

All Implemented Interfaces:

Serializable, org.apache.spark.internal.Logging, ClassifierParams, ClassifierTypeTrait, OneVsRestParams, Params, HasFeaturesCol, HasLabelCol, HasPredictionCol, HasRawPredictionCol, HasWeightCol, PredictorParams, Identifiable, MLWritable

public final class OneVsRestModel
extends Model<OneVsRestModel>
implements OneVsRestParams, MLWritable

Model produced by OneVsRest. This stores the models resulting from training k binary classifiers: one for each class. Each example is scored against all k models, and the model with the highest score is picked to label the example.

param: labelMetadata Metadata of label column if it exists, or Nominal attribute representing the number of classes in training dataset otherwise. param: models The binary classification models for the reduction. The i-th model is produced by testing the i-th class (taking label 1) vs the rest (taking label 0).

See Also:

• Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from interface org.apache.spark.internal.Logging

org.apache.spark.internal.Logging.LogStringContext, org.apache.spark.internal.Logging.SparkShellLoggingFilter

Method Summary

Modifier and Type	Method	Description
Param<Classifier<?,? extends Classifier<Object,Classifier,ClassificationModel>,? extends ClassificationModel<Object,ClassificationModel>>>	classifier()	param for the base binary classifier that we reduce multiclass classification into.
OneVsRestModel	copy(ParamMap extra)	Creates a copy of this instance with the same UID and some extra params.
final Param<String>	featuresCol()	Param for features column name.
final Param<String>	labelCol()	Param for label column name.
static OneVsRestModel	load(String path)
ClassificationModel[]	models()
int	numClasses()
int	numFeatures()
final Param<String>	predictionCol()	Param for prediction column name.
final Param<String>	rawPredictionCol()	Param for raw prediction (a.k.a.
static MLReader<OneVsRestModel>	read()
OneVsRestModel	setFeaturesCol(String value)
OneVsRestModel	setPredictionCol(String value)
OneVsRestModel	setRawPredictionCol(String value)
String	toString()
Dataset<Row>	transform(Dataset<?> dataset)	Transforms the input dataset.
StructType	transformSchema(StructType schema)	Check transform validity and derive the output schema from the input schema.
String	uid()	An immutable unique ID for the object and its derivatives.
final Param<String>	weightCol()	Param for weight column name.
MLWriter	write()	Returns an MLWriter instance for this ML instance.

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

hasParent, parent, setParent

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.classification.ClassifierParams

validateAndTransformSchema

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

getFeaturesCol

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

getLabelCol

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

getPredictionCol

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

getRawPredictionCol

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

getWeightCol

Methods inherited from interface org.apache.spark.internal.Logging

initializeForcefully, 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, withLogContext

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

save

Methods inherited from interface org.apache.spark.ml.classification.OneVsRestParams

getClassifier

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

Method Details

read

public static MLReader<OneVsRestModel> read()

load

public static OneVsRestModel load(String path)

classifier

public Param<Classifier<?,? extends Classifier<Object,Classifier,ClassificationModel>,? extends ClassificationModel<Object,ClassificationModel>>> classifier()

Description copied from interface: OneVsRestParams

param for the base binary classifier that we reduce multiclass classification into. The base classifier input and output columns are ignored in favor of the ones specified in OneVsRest.

Specified by:

classifier in interface OneVsRestParams

Returns:

(undocumented)

weightCol

public final Param<String> weightCol()

Description copied from interface: HasWeightCol

Param for weight column name. If this is not set or empty, we treat all instance weights as 1.0.

Specified by:

weightCol in interface HasWeightCol

Returns:

(undocumented)

rawPredictionCol

public final Param<String> rawPredictionCol()

Description copied from interface: HasRawPredictionCol

Param for raw prediction (a.k.a. confidence) column name.

Specified by:

rawPredictionCol in interface HasRawPredictionCol

Returns:

(undocumented)

predictionCol

public final Param<String> predictionCol()

Description copied from interface: HasPredictionCol

Param for prediction column name.

Specified by:

predictionCol in interface HasPredictionCol

Returns:

(undocumented)

featuresCol

public final Param<String> featuresCol()

Description copied from interface: HasFeaturesCol

Param for features column name.

Specified by:

featuresCol in interface HasFeaturesCol

Returns:

(undocumented)

labelCol

public final Param<String> labelCol()

Description copied from interface: HasLabelCol

Param for label column name.

Specified by:

labelCol in interface HasLabelCol

Returns:

(undocumented)

uid

public String uid()

Description copied from interface: Identifiable

An immutable unique ID for the object and its derivatives.

Specified by:

uid in interface Identifiable

Returns:

(undocumented)

models

public ClassificationModel[] models()

numClasses

public int numClasses()

numFeatures

public int numFeatures()

setFeaturesCol

public OneVsRestModel setFeaturesCol(String value)

setPredictionCol

public OneVsRestModel setPredictionCol(String value)

setRawPredictionCol

public OneVsRestModel setRawPredictionCol(String value)

transformSchema

public StructType transformSchema(StructType schema)

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 by Param.validate().

Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks.

Specified by:

transformSchema in class PipelineStage

Parameters:

schema - (undocumented)

Returns:

(undocumented)

transform

public Dataset<Row> transform(Dataset<?> dataset)

Description copied from class: Transformer

Transforms the input dataset.

Specified by:

transform in class Transformer

Parameters:

dataset - (undocumented)

Returns:

(undocumented)

copy

public OneVsRestModel copy(ParamMap extra)

Description copied from interface: Params

Creates a copy of this instance with the same UID and some extra params. Subclasses should implement this method and set the return type properly. See defaultCopy().

Specified by:

copy in interface Params

Specified by:

copy in class Model<OneVsRestModel>

Parameters:

extra - (undocumented)

Returns:

(undocumented)

write

public MLWriter write()

Description copied from interface: MLWritable

Returns an MLWriter instance for this ML instance.

Specified by:

write in interface MLWritable

Returns:

(undocumented)

toString

public String toString()

Specified by:

toString in interface Identifiable

Overrides:

toString in class Object