Package org.apache.spark.ml.classification

Class LogisticRegressionSummaryImpl

Object

org.apache.spark.ml.classification.LogisticRegressionSummaryImpl

All Implemented Interfaces:

Serializable, ClassificationSummary, LogisticRegressionSummary

Direct Known Subclasses:

BinaryLogisticRegressionSummaryImpl, LogisticRegressionTrainingSummaryImpl

public class LogisticRegressionSummaryImpl
extends Object
implements LogisticRegressionSummary

Multiclass logistic regression results for a given model.

param: predictions dataframe output by the model's transform method. param: probabilityCol field in "predictions" which gives the probability of each class as a vector. param: predictionCol field in "predictions" which gives the prediction for a data instance as a double. param: labelCol field in "predictions" which gives the true label of each instance. param: featuresCol field in "predictions" which gives the features of each instance as a vector. param: weightCol field in "predictions" which gives the weight of each instance.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
LogisticRegressionSummaryImpl(Dataset<Row> predictions, String probabilityCol, String predictionCol, String labelCol, String featuresCol, String weightCol)

Method Summary

Modifier and Type	Method	Description
String	featuresCol()	Field in "predictions" which gives the features of each instance as a vector.
String	labelCol()	Field in "predictions" which gives the true label of each instance (if available).
String	predictionCol()	Field in "predictions" which gives the prediction of each class.
Dataset<Row>	predictions()	Dataframe output by the model's transform method.
String	probabilityCol()	Field in "predictions" which gives the probability of each class as a vector.
String	weightCol()	Field in "predictions" which gives the weight of each instance.

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.ClassificationSummary

accuracy, falsePositiveRateByLabel, fMeasureByLabel, fMeasureByLabel, labels, precisionByLabel, recallByLabel, truePositiveRateByLabel, weightedFalsePositiveRate, weightedFMeasure, weightedFMeasure, weightedPrecision, weightedRecall, weightedTruePositiveRate

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

asBinary

Constructor Details

LogisticRegressionSummaryImpl

public LogisticRegressionSummaryImpl(Dataset<Row> predictions,
 String probabilityCol,
 String predictionCol,
 String labelCol,
 String featuresCol,
 String weightCol)

Method Details

featuresCol

public String featuresCol()

Description copied from interface: LogisticRegressionSummary

Field in "predictions" which gives the features of each instance as a vector.

Specified by:

featuresCol in interface LogisticRegressionSummary

labelCol

public String labelCol()

Description copied from interface: ClassificationSummary

Field in "predictions" which gives the true label of each instance (if available).

Specified by:

labelCol in interface ClassificationSummary

predictionCol

public String predictionCol()

Description copied from interface: ClassificationSummary

Field in "predictions" which gives the prediction of each class.

Specified by:

predictionCol in interface ClassificationSummary

predictions

public Dataset<Row> predictions()

Description copied from interface: ClassificationSummary

Dataframe output by the model's transform method.

Specified by:

predictions in interface ClassificationSummary

Returns:

(undocumented)

probabilityCol

public String probabilityCol()

Description copied from interface: LogisticRegressionSummary

Field in "predictions" which gives the probability of each class as a vector.

Specified by:

probabilityCol in interface LogisticRegressionSummary

weightCol

public String weightCol()

Description copied from interface: ClassificationSummary

Field in "predictions" which gives the weight of each instance.

Specified by:

weightCol in interface ClassificationSummary