Interface DistributionTrainerContext
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- All Known Subinterfaces:
ModelTrainer
- All Known Implementing Classes:
SimpleDistributionTrainerContext
,SimpleModelTrainer
public interface DistributionTrainerContext
A context within a group of DistributionTrainers can be trained together.- Since:
- 1.0
- Author:
- Matthew Pocock
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description void
addCount(Distribution dist, Symbol sym, double times)
Registers that sym was counted in this state.void
clearCounts()
Clears all of the counts to zero.double
getCount(Distribution dist, Symbol sym)
Return the number of counts of a particular symbol which will be used to train the specified distribution.double
getNullModelWeight()
Return the number of pseudocounts added to the distribution when training.DistributionTrainer
getTrainer(Distribution dist)
Return the Distribution trainer object from the current context.void
registerDistribution(Distribution dist)
Register a distribution object with this context.void
registerTrainer(Distribution dist, DistributionTrainer trainer)
Register a Distribution and an associated DistributionTrainer object.void
setNullModelWeight(double weight)
Set the number of pseudocounts to add when training the distribution.void
train()
Trains the Distribution, given a null model.
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Method Detail
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getNullModelWeight
double getNullModelWeight()
Return the number of pseudocounts added to the distribution when training.- Returns:
- the null model weight
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setNullModelWeight
void setNullModelWeight(double weight)
Set the number of pseudocounts to add when training the distribution. These counts are added in proportion to the null model of the distribution being trained.- Parameters:
weight
- the new null model weight
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registerDistribution
void registerDistribution(Distribution dist)
Register a distribution object with this context.
This method is a request to the context to register dist. If dist is already registered then this method should do nothing. If it is not registered, then it should invoke dist.registerWithTrainer
- Parameters:
dist
- the Distribution to register
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registerTrainer
void registerTrainer(Distribution dist, DistributionTrainer trainer)
Register a Distribution and an associated DistributionTrainer object.
In the registerWithTrainer method of a Distribution, it should associate itself with a trainer using this method.
- Parameters:
dist
- the distribution to be registered.trainer
- the distribution's trainer object to be registered.
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getTrainer
DistributionTrainer getTrainer(Distribution dist)
Return the Distribution trainer object from the current context.- Parameters:
dist
- the Distribution whose trainer is required- Returns:
- the DistributionTrainer for the distribution
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addCount
void addCount(Distribution dist, Symbol sym, double times) throws IllegalSymbolException
Registers that sym was counted in this state.
This method may be called multiple times with the same symbol. In this case, the times should be summed.
- Parameters:
dist
- the Distribution that the symbol was associated withsym
- the Symbol seentimes
- the number of times to add- Throws:
IllegalSymbolException
- if sym is not recognised by dist
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getCount
double getCount(Distribution dist, Symbol sym) throws IllegalSymbolException
Return the number of counts of a particular symbol which will be used to train the specified distribution.- Parameters:
dist
- the Distribution to return counts forsym
- the symbol to get the count for- Returns:
- the number of counts
- Throws:
IllegalSymbolException
- if the symbol is not accepted by the distribution
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train
void train() throws ChangeVetoException
Trains the Distribution, given a null model.
This will use the information collected with multiple addCount calls, and the null model to generate the new weights.
- Throws:
ChangeVetoException
- if any of the distributions can't be trained
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clearCounts
void clearCounts()
Clears all of the counts to zero.
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