LogNormalDistribution (deeplearning4j-nn 1.0.0-M2.1 API)

java.lang.Object
- org.deeplearning4j.nn.conf.distribution.Distribution
- - org.deeplearning4j.nn.conf.distribution.LogNormalDistribution

All Implemented Interfaces:

Serializable, Cloneable
```
public class LogNormalDistribution
extends Distribution
```
A log-normal distribution, with two parameters: mean and standard deviation. Note: the mean and standard deviation are for the logarithm of the values. Put another way: if X~LogN(M,S), then mean(log(X))=M, and stdev(log(X))=S

See Also:

Serialized Form

- Constructor Summary
  
  Constructors
  Constructor Description
  
  LogNormalDistribution(double mean, double std)
  Create a log-normal distribution with the given mean and std
- Method Summary
  
  All Methods Instance Methods Concrete Methods
  Modifier and Type Method Description
  
  String toString()
  - Methods inherited from class org.deeplearning4j.nn.conf.distribution.Distribution
    clone
  - Methods inherited from class java.lang.Object
    equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - LogNormalDistribution
```
public LogNormalDistribution(double mean,
                             double std)
```
    Create a log-normal distribution with the given mean and std
    
    Parameters:
    
    mean - the mean
    
    std - the standard deviation
- Method Detail
  - toString
```
public String toString()
```
    Overrides:
    
    toString in class Object