Class NaiveBayesTrainer

Namespace

NOpenNLP.Tools.Ml.Naivebayes

Assembly

NOpenNLP.Tools.dll

Trains models using the combination of EM algorithm and Naive Bayes classifier which is described in: Text Classification from Labeled and Unlabeled Documents using EM Nigam, McCallum, et al paper of 2000

public class NaiveBayesTrainer : AbstractEventTrainer, IEventTrainer

Inheritance

object

AbstractTrainer

AbstractEventTrainer

NaiveBayesTrainer

Implements

IEventTrainer

Inherited Members

AbstractEventTrainer.DATA_INDEXER_PARAM

AbstractEventTrainer.DATA_INDEXER_ONE_PASS_VALUE

AbstractEventTrainer.DATA_INDEXER_TWO_PASS_VALUE

AbstractEventTrainer.DATA_INDEXER_ONE_PASS_REAL_VALUE

AbstractEventTrainer.GetDataIndexer(IObjectStream<Event>)

AbstractEventTrainer.Train(IDataIndexer)

AbstractEventTrainer.Train(IObjectStream<Event>)

AbstractTrainer.ALGORITHM_PARAM

AbstractTrainer.TRAINER_TYPE_PARAM

AbstractTrainer.CUTOFF_PARAM

AbstractTrainer.CUTOFF_DEFAULT

AbstractTrainer.ITERATIONS_PARAM

AbstractTrainer.ITERATIONS_DEFAULT

AbstractTrainer.VERBOSE_PARAM

AbstractTrainer.VERBOSE_DEFAULT

AbstractTrainer.trainingParameters

AbstractTrainer.reportMap

AbstractTrainer.printMessages

AbstractTrainer.Init(TrainingParameters, IDictionary<string, string>)

AbstractTrainer.Algorithm

AbstractTrainer.Cutoff

AbstractTrainer.Iterations

AbstractTrainer.Validate()

AbstractTrainer.AddToReport(string, string)

AbstractTrainer.Display(string)

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

NaiveBayesTrainer()

public NaiveBayesTrainer()

NaiveBayesTrainer(TrainingParameters)

public NaiveBayesTrainer(TrainingParameters parameters)

Parameters

parameters TrainingParameters

Fields

NAIVE_BAYES_VALUE

public const string NAIVE_BAYES_VALUE = "NAIVEBAYES"

Field Value

string

Properties

IsSortAndMerge

Whether the data indexer should sort and merge the indexed events.

public override bool IsSortAndMerge { get; }

Property Value

bool

Methods

DoTrain(IDataIndexer)

Trains a model from the given, already indexed, training data.

public override IMaxentModel DoTrain(IDataIndexer indexer)

Parameters

indexer IDataIndexer

Returns

IMaxentModel

TrainModel(IDataIndexer)

public virtual AbstractModel TrainModel(IDataIndexer di)

Parameters

di IDataIndexer

Returns

AbstractModel