Package opennlp.tools.ml
Class AbstractTrainer
java.lang.Object
opennlp.tools.ml.AbstractTrainer
- All Implemented Interfaces:
Trainer
- Direct Known Subclasses:
AbstractEventModelSequenceTrainer
,AbstractEventTrainer
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Constructor Summary
ConstructorDescriptionAbstractTrainer
(TrainingParameters trainParams) Initializes aAbstractTrainer
viaTrainingParameters
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Method Summary
Modifier and TypeMethodDescriptionint
int
void
init
(TrainingParameters trainParams, Map<String, String> reportMap) void
validate()
Checks the configuredparameters
.
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Constructor Details
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AbstractTrainer
public AbstractTrainer() -
AbstractTrainer
Initializes aAbstractTrainer
viaTrainingParameters
.- Parameters:
trainParams
- TheTrainingParameters
to use.
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Method Details
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init
- Specified by:
init
in interfaceTrainer
- Parameters:
trainParams
- TheTrainingParameters
to use.reportMap
- TheMap
instance used as report map.
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getAlgorithm
- Returns:
- Retrieves the configured
TrainingParameters.ALGORITHM_PARAM
value.
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getCutoff
public int getCutoff()- Returns:
- Retrieves the configured
TrainingParameters.CUTOFF_PARAM
value.
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getIterations
public int getIterations()- Returns:
- Retrieves the configured
TrainingParameters.ITERATIONS_PARAM
value.
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validate
public void validate()Checks the configuredparameters
. If a subclass overrides this, it should callsuper.validate();
.- Throws:
IllegalArgumentException
- Thrown if default training parameters are invalid.
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