org.apache.hadoop.tools.rumen

类 CDFPiecewiseLinearRandomGenerator

java.lang.Object

org.apache.hadoop.tools.rumen.CDFRandomGenerator

org.apache.hadoop.tools.rumen.CDFPiecewiseLinearRandomGenerator

public class CDFPiecewiseLinearRandomGenerator
extends CDFRandomGenerator

构造器概要

构造器

构造器和说明
CDFPiecewiseLinearRandomGenerator(LoggedDiscreteCDF cdf)
CDFPiecewiseLinearRandomGenerator(LoggedDiscreteCDF cdf, long seed)

方法概要

方法

限定符和类型	方法和说明
long	valueAt(double probability) TODO This code assumes that the empirical minimum resp. maximum is the epistomological minimum resp. maximum.

从类继承的方法 org.apache.hadoop.tools.rumen.CDFRandomGenerator

floorIndex, getDatumAt, getRankingAt, initializeTables, randomValue

从类继承的方法 java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

构造器详细资料

CDFPiecewiseLinearRandomGenerator

public CDFPiecewiseLinearRandomGenerator(LoggedDiscreteCDF cdf)

参数:

cdf - builds a CDFRandomValue engine around this LoggedDiscreteCDF, with a defaultly seeded RNG

CDFPiecewiseLinearRandomGenerator

public CDFPiecewiseLinearRandomGenerator(LoggedDiscreteCDF cdf,
                                 long seed)

参数:

cdf - builds a CDFRandomValue engine around this LoggedDiscreteCDF, with an explicitly seeded RNG

seed - the random number generator seed

方法详细资料

valueAt

public long valueAt(double probability)

TODO This code assumes that the empirical minimum resp. maximum is the epistomological minimum resp. maximum. This is probably okay for the minimum, because that likely represents a task where everything went well, but for the maximum we may want to develop a way of extrapolating past the maximum.

指定者:

valueAt 在类中 CDFRandomGenerator