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

Interface HasMaxBlockSizeInMB

All Superinterfaces:

Identifiable, Params, Serializable

All Known Subinterfaces:

AFTSurvivalRegressionParams, KMeansParams, LinearRegressionParams, LinearSVCParams, LogisticRegressionParams

All Known Implementing Classes:

AFTSurvivalRegression, AFTSurvivalRegressionModel, KMeans, KMeansModel, LinearRegression, LinearRegressionModel, LinearSVC, LinearSVCModel, LogisticRegression, LogisticRegressionModel

public interface HasMaxBlockSizeInMB
extends Params

Trait for shared param maxBlockSizeInMB (default: 0.0). This trait may be changed or removed between minor versions.

Method Summary

Modifier and Type	Method	Description
double	getMaxBlockSizeInMB()
DoubleParam	maxBlockSizeInMB()	Param for Maximum memory in MB for stacking input data into blocks.

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, estimateMatadataSize, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn

Method Details

getMaxBlockSizeInMB

double getMaxBlockSizeInMB()

maxBlockSizeInMB

DoubleParam maxBlockSizeInMB()

Param for Maximum memory in MB for stacking input data into blocks. Data is stacked within partitions. If more than remaining data size in a partition then it is adjusted to the data size. Default 0.0 represents choosing optimal value, depends on specific algorithm. Must be >= 0..

Returns:

(undocumented)