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()