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## Uses of Class
cc.mallet.grmm.learning.ACRF

Packages that use ACRF
cc.mallet.grmm.learning |
cc.mallet.grmm.learning.extract |

Uses of ACRF in cc.mallet.grmm.learning

Methods in cc.mallet.grmm.learning that return ACRF
`static ACRF` | `ACRF.makeFactorial(Pipe p, int numLevels)`

Methods in cc.mallet.grmm.learning with parameters of type ACRF
`protected boolean` | `DefaultAcrfTrainer.callEvaluator(ACRF acrf, InstanceList trainingList, InstanceList validationList, InstanceList testSet, int iter, ACRFEvaluator eval)`
`protected Optimizable.ByGradientValue` | `DefaultAcrfTrainer.createMaximizable(ACRF acrf, InstanceList trainingList)`
`boolean` | `DefaultAcrfTrainer.LogEvaluator.evaluate(ACRF acrf, int iter, InstanceList training, InstanceList validation, InstanceList testing)`
`boolean` | `DefaultAcrfTrainer.FileEvaluator.evaluate(ACRF acrf, int iter, InstanceList training, InstanceList validation, InstanceList testing)`
`boolean` | `AcrfSerialEvaluator.evaluate(ACRF acrf, int iter, InstanceList training, InstanceList validation, InstanceList testing)`
`boolean` | `MultiSegmentationEvaluatorACRF.evaluate(ACRF acrf, int iter, InstanceList training, InstanceList validation, InstanceList testing)`
`abstract boolean` | `ACRFEvaluator.evaluate(ACRF acrf, int iter, InstanceList training, InstanceList validation, InstanceList testing)` Evalutes the model in the middle of training.
`boolean` | `DefaultAcrfTrainer.incrementalTrain(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, ACRFEvaluator eval, int numIter)`
`boolean` | `DefaultAcrfTrainer.incrementalTrain(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, int numIter)`
`boolean` | `DefaultAcrfTrainer.someUnsupportedTrain(ACRF acrf, InstanceList trainingList, InstanceList validationList, InstanceList testSet, ACRFEvaluator eval, int numIter)`
`void` | `DefaultAcrfTrainer.test(ACRF acrf, InstanceList testing, ACRFEvaluator eval)`
`void` | `DefaultAcrfTrainer.test(ACRF acrf, InstanceList testing, ACRFEvaluator[] evals)`
`void` | `ACRFEvaluator.test(ACRF acrf, InstanceList data, java.lang.String description)`
`boolean` | `DefaultAcrfTrainer.train(ACRF acrf, InstanceList training)`
`boolean` | `ACRFTrainer.train(ACRF acrf, InstanceList training)`
`boolean` | `DefaultAcrfTrainer.train(ACRF acrf, InstanceList training, ACRFEvaluator eval, int numIter)`
`boolean` | `ACRFTrainer.train(ACRF acrf, InstanceList training, ACRFEvaluator eval, int numIter)`
`void` | `DefaultAcrfTrainer.train(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, ACRFEvaluator eval, double[] proportions, int iterPerProportion)`
`boolean` | `DefaultAcrfTrainer.train(ACRF acrf, InstanceList trainingList, InstanceList validationList, InstanceList testSet, ACRFEvaluator eval, int numIter)`
`boolean` | `ACRFTrainer.train(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, ACRFEvaluator eval, int numIter)`
`boolean` | `DefaultAcrfTrainer.train(ACRF acrf, InstanceList trainingList, InstanceList validationList, InstanceList testSet, ACRFEvaluator eval, int numIter, Optimizable.ByGradientValue macrf)`
`boolean` | `ACRFTrainer.train(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, ACRFEvaluator eval, int numIter, Optimizable.ByGradientValue macrf)`
`boolean` | `DefaultAcrfTrainer.train(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, int numIter)`
`boolean` | `ACRFTrainer.train(ACRF acrf, InstanceList training, InstanceList validation, InstanceList testing, int numIter)`
`boolean` | `DefaultAcrfTrainer.train(ACRF acrf, InstanceList training, int numIter)`
`boolean` | `ACRFTrainer.train(ACRF acrf, InstanceList training, int numIter)`

Uses of ACRF in cc.mallet.grmm.learning.extract

Methods in cc.mallet.grmm.learning.extract that return ACRF
`ACRF` | `ACRFExtractor.getAcrf()`
`ACRF` | `ACRFExtractorTrainer.trainAcrf()` Trains a new ACRF object with the given settings.

Constructors in cc.mallet.grmm.learning.extract with parameters of type ACRF
`ACRFExtractor(ACRF acrf, Pipe tokPipe, Pipe featurePipe)`

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