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## Deprecated API

Contents

- Deprecated Interfaces
- Deprecated Classes
- Deprecated Methods
- Deprecated Constructors

Deprecated Interfaces
cc.mallet.optimize.Optimizer.ByBatches
cc.mallet.types.Vector

Deprecated Classes
cc.mallet.pipe.BranchingPipe
cc.mallet.types.ChainedInstanceIterator
cc.mallet.topics.LDA Use ParallelTopicModel instead.
cc.mallet.topics.LDAHyper Use ParallelTopicModel instead, which uses substantially faster data structures even for non-parallel operation.
cc.mallet.types.Matrix2
cc.mallet.grmm.util.PipedIterator
cc.mallet.pipe.iterator.PipeExtendedIterator
cc.mallet.pipe.iterator.PipeInputIterator
cc.mallet.fst.ShallowTransducerTrainer Use `NoopTransducerTrainer` instead

Deprecated Methods
cc.mallet.types.InstanceList.add(Object, Object, Object, Object) Use trainingset.add (new Instance(data,target,name,source)) instead.
cc.mallet.types.InstanceList.add(Object, Object, Object, Object, double) Use trainingset.addThruPipe (new Instance(data,target,name,source)) instead.
cc.mallet.util.Randoms.asJavaRandom()
cc.mallet.types.MatrixOps.dot(double[], double[]) Use dotProduct()
cc.mallet.fst.CRF.evaluate(TransducerEvaluator, InstanceList)
cc.mallet.types.Instance.getProperties()
cc.mallet.fst.Transducer.TransitionIterator.nextState()
cc.mallet.types.InstanceList.noisify(double)
cc.mallet.fst.Transducer.TransitionIterator.numberNext()
cc.mallet.fst.CRF.predict(InstanceList)
cc.mallet.fst.HMM.reset()
cc.mallet.grmm.types.Assignment.restriction(Assignment, VarSet) marginalize
cc.mallet.types.InstanceList.sampleWithInstanceWeights(Random)
cc.mallet.types.Instance.setPropertyList(PropertyList)

Deprecated Constructors
cc.mallet.util.CommandOption(Class, String, String, Class, boolean, String)
cc.mallet.types.InstanceList()

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