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public interface EnsembleML
Method Summary | |
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double |
getError(EnsembleDataSet testset)
Get the error for this ML on the dataset |
String |
getLabel()
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MLMethod |
getMl()
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MLTrain |
getTraining()
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EnsembleDataSet |
getTrainingSet()
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void |
setMl(MLMethod newMl)
Set the MLMethod to run |
void |
setTraining(MLTrain train)
Set the training for this member |
void |
setTrainingSet(EnsembleDataSet dataSet)
Set the dataset for this member |
void |
train(double targetError)
Train the ML to a certain accuracy. |
void |
train(double targetError,
boolean verbose)
Train the ML to a certain accuracy. |
void |
trainStep()
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Methods inherited from interface org.encog.ml.MLClassification |
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classify |
Methods inherited from interface org.encog.ml.MLRegression |
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compute |
Methods inherited from interface org.encog.ml.MLInput |
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getInputCount |
Methods inherited from interface org.encog.ml.MLOutput |
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getOutputCount |
Method Detail |
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void setTrainingSet(EnsembleDataSet dataSet)
dataSet
- The data set.void setTraining(MLTrain train)
train
- The trainer.EnsembleDataSet getTrainingSet()
MLTrain getTraining()
void train(double targetError)
targetError
- The target error.void train(double targetError, boolean verbose)
targetError
- Target error.verbose
- Verbose mode.double getError(EnsembleDataSet testset)
void setMl(MLMethod newMl)
newMl
- The new ML.MLMethod getMl()
void trainStep()
String getLabel()
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