Package org.apache.spark.ml.param.shared

Interface HasTol

All Superinterfaces:

Identifiable, Params, Serializable

All Known Subinterfaces:

AFTSurvivalRegressionParams, FactorizationMachines, FactorizationMachinesParams, FMClassifierParams, FMRegressorParams, GaussianMixtureParams, GeneralizedLinearRegressionBase, KMeansParams, LinearRegressionParams, LinearSVCParams, LogisticRegressionParams, MultilayerPerceptronParams

All Known Implementing Classes:

AFTSurvivalRegression, AFTSurvivalRegressionModel, FMClassificationModel, FMClassifier, FMRegressionModel, FMRegressor, GaussianMixture, GaussianMixtureModel, GeneralizedLinearRegression, GeneralizedLinearRegressionModel, KMeans, KMeansModel, LinearRegression, LinearRegressionModel, LinearSVC, LinearSVCModel, LogisticRegression, LogisticRegressionModel, MultilayerPerceptronClassificationModel, MultilayerPerceptronClassifier

public interface HasTol
extends Params

Trait for shared param tol. This trait may be changed or removed between minor versions.

Method Summary

Modifier and Type	Method	Description
double	getTol()
DoubleParam	tol()	Param for the convergence tolerance for iterative algorithms (>= 0).

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

toString, uid

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

clear, copy, 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

getTol

double getTol()

tol

DoubleParam tol()

Param for the convergence tolerance for iterative algorithms (>= 0).

Returns:

(undocumented)