Package org.apache.spark.ml.util

Interface HasTrainingSummary<T>

Type Parameters:

T - Summary instance type

All Known Implementing Classes:

BisectingKMeansModel, FMClassificationModel, GaussianMixtureModel, GeneralizedLinearRegressionModel, KMeansModel, LinearRegressionModel, LinearSVCModel, LogisticRegressionModel, MultilayerPerceptronClassificationModel, RandomForestClassificationModel

public interface HasTrainingSummary<T>

Trait for models that provides Training summary.

Method Summary

Modifier and Type	Method	Description
boolean	hasSummary()	Indicates whether a training summary exists for this model instance.
void	loadSummary(String path, Dataset<Row> dataset)
void	saveSummary(String path)
HasTrainingSummary<T>	setSummary(scala.Option<T> summary)
T	summary()	Gets summary of model on training set.
scala.Option<T>	trainingSummary()

Method Details

hasSummary

boolean hasSummary()

Indicates whether a training summary exists for this model instance.

loadSummary

void loadSummary(String path,
 Dataset<Row> dataset)

saveSummary

void saveSummary(String path)

setSummary

HasTrainingSummary<T> setSummary(scala.Option<T> summary)

summary

T summary()

Gets summary of model on training set. An exception is thrown if if hasSummary is false.

Returns:

(undocumented)

trainingSummary

scala.Option<T> trainingSummary()