Package org.apache.spark.mllib.random
Class LogNormalGenerator
Object
org.apache.spark.mllib.random.LogNormalGenerator
- All Implemented Interfaces:
 Serializable,RandomDataGenerator<Object>,Pseudorandom,scala.Serializable
Generates i.i.d. samples from the log normal distribution with the
 given mean and standard deviation.
 
param: mean mean for the log normal distribution. param: std standard deviation for the log normal distribution
- See Also:
 
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Constructor Summary
Constructors - 
Method Summary
Modifier and TypeMethodDescriptioncopy()Returns a copy of the RandomDataGenerator with a new instance of the rng object used in the class when applicable for non-locking concurrent usage.doublemean()doubleReturns an i.i.d. sample as a generic type from an underlying distribution.voidsetSeed(long seed) Set random seed.doublestd() 
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Constructor Details
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LogNormalGenerator
public LogNormalGenerator(double mean, double std)  
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Method Details
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copy
Description copied from interface:RandomDataGeneratorReturns a copy of the RandomDataGenerator with a new instance of the rng object used in the class when applicable for non-locking concurrent usage.- Specified by:
 copyin interfaceRandomDataGenerator<Object>- Returns:
 - (undocumented)
 
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mean
public double mean() - 
nextValue
public double nextValue()Description copied from interface:RandomDataGeneratorReturns an i.i.d. sample as a generic type from an underlying distribution.- Specified by:
 nextValuein interfaceRandomDataGenerator<Object>- Returns:
 - (undocumented)
 
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setSeed
public void setSeed(long seed) Description copied from interface:PseudorandomSet random seed.- Specified by:
 setSeedin interfacePseudorandom
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std
public double std() 
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