DistributionInference (Fiji Javadocs 0-SNAPSHOT API)

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java.lang.Object
- inference.Inference
- - inference.DistributionInference

All Implemented Interfaces:: InferenceCaller

public class DistributionInference
extends Inference
implements InferenceCaller

Field Summary
- Fields inherited from class inference.Inference
  caller, count, data, subEvidences

Constructor Summary

Constructors
Constructor and Description

DistributionInference()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`void`	`doit(int M)`
`double`	`getMaxProb()`
`double`	`getMinProb()`
`double`	`getProbability(int originalBin)`
`double`	`logExpectationFactor(int m, int lower_bound, int upper_bound)`
`double`	`logPrior(int m)`

Methods inherited from class inference.Inference
defaultLogPrior, getCount, initCount, K, main, N, setData, setData

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail
- DistributionInference
```
public DistributionInference()
```

Method Detail

doit
```
public void doit(int M)
```
Overrides:

doit in class Inference

getProbability

public double getProbability(int originalBin)

getMaxProb
```
public double getMaxProb()
```

getMinProb
```
public double getMinProb()
```

logExpectationFactor

public double logExpectationFactor(int m,
                                   int lower_bound,
                                   int upper_bound)

Specified by:: logExpectationFactor in interface InferenceCaller

logPrior
```
public double logPrior(int m)
```
Specified by:

logPrior in interface InferenceCaller

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