Package org.apache.spark.mllib.random
Class LogNormalGenerator
Object
org.apache.spark.mllib.random.LogNormalGenerator
- All Implemented Interfaces:
Serializable
,RandomDataGenerator<Object>
,Pseudorandom
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
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Method Summary
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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:RandomDataGenerator
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.- Specified by:
copy
in interfaceRandomDataGenerator<Object>
- Returns:
- (undocumented)
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mean
public double mean() -
nextValue
public double nextValue()Description copied from interface:RandomDataGenerator
Returns an i.i.d. sample as a generic type from an underlying distribution.- Specified by:
nextValue
in interfaceRandomDataGenerator<Object>
- Returns:
- (undocumented)
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setSeed
public void setSeed(long seed) Description copied from interface:Pseudorandom
Set random seed.- Specified by:
setSeed
in interfacePseudorandom
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std
public double std()
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