Package org.apache.spark.ml.classification

Class Classifier<FeaturesType,E extends Classifier<FeaturesType,E,M>,M extends ClassificationModel<FeaturesType,M>>

Object

org.apache.spark.ml.PipelineStage

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

org.apache.spark.ml.Predictor<FeaturesType,E,M>

org.apache.spark.ml.classification.Classifier<FeaturesType,E,M>

Type Parameters:

FeaturesType - Type of input features. E.g., Vector

E - Concrete Estimator type

M - Concrete Model type

All Implemented Interfaces:

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

Direct Known Subclasses:

LinearSVC, ProbabilisticClassifier

public abstract class Classifier<FeaturesType,E extends Classifier<FeaturesType,E,M>,M extends ClassificationModel<FeaturesType,M>>
extends Predictor<FeaturesType,E,M>
implements ClassifierParams

Single-label binary or multiclass classification. Classes are indexed {0, 1, ..., numClasses - 1}.

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

Constructor Summary

Constructors

Constructor	Description
Classifier()

Method Summary

Modifier and Type	Method	Description
final Param<String>	rawPredictionCol()	Param for raw prediction (a.k.a.
E	setRawPredictionCol(String value)

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

copy, featuresCol, fit, labelCol, predictionCol, setFeaturesCol, setLabelCol, setPredictionCol, transformSchema

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

fit, fit, fit, fit

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

params

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, 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

featuresCol, getFeaturesCol

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

getLabelCol, labelCol

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

getPredictionCol, predictionCol

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

getRawPredictionCol

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

toString, uid

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

initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, isTraceEnabled, log, logBasedOnLevel, logDebug, logDebug, logDebug, logDebug, logError, logError, logError, logError, logInfo, logInfo, logInfo, logInfo, logName, LogStringContext, logTrace, logTrace, logTrace, logTrace, logWarning, logWarning, logWarning, logWarning, MDC, org$apache$spark$internal$Logging$$log_, org$apache$spark$internal$Logging$$log__$eq, withLogContext

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

clear, copy, copyValues, defaultCopy, defaultParamMap, estimateMatadataSize, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn

Constructor Details

Classifier

public Classifier()

Method Details

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)

setRawPredictionCol

public E setRawPredictionCol(String value)