Class NaiveBayesModel

Namespace

NOpenNLP.Tools.Ml.Naivebayes

Assembly

NOpenNLP.Tools.dll

Class implementing the multinomial Naive Bayes classifier model.

public class NaiveBayesModel : AbstractModel, IMaxentModel

Inheritance

object

AbstractModel

NaiveBayesModel

Implements

IMaxentModel

Inherited Members

AbstractModel.pmap

AbstractModel.outcomeNames

AbstractModel.evalParams

AbstractModel.prior

AbstractModel.modelType

AbstractModel.GetBestOutcome(double[])

AbstractModel.GetModelType()

AbstractModel.GetAllOutcomes(double[])

AbstractModel.GetOutcome(int)

AbstractModel.GetIndex(string)

AbstractModel.NumOutcomes

AbstractModel.GetDataStructures()

AbstractModel.GetHashCode()

AbstractModel.Equals(object)

object.Equals(object, object)

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

NaiveBayesModel(Context[], string[], string[])

public NaiveBayesModel(Context[] @params, string[] predLabels, string[] outcomeNames)

Parameters

params Context[]

predLabels string[]

outcomeNames string[]

Fields

outcomeTotals

protected readonly double[] outcomeTotals

Field Value

double[]

vocabulary

protected long vocabulary

Field Value

long

Methods

Eval(int[], double[], EvalParameters)

public static double[] Eval(int[] context, double[] prior, EvalParameters model)

Parameters

context int[]

prior double[]

model EvalParameters

Returns

double[]

Eval(string[])

Evaluates a context.

public override double[] Eval(string[] context)

Parameters

context string[]

A list of String names of the contextual predicates which are to be evaluated together.

Returns

double[]

an array of the probabilities for each of the different outcomes, all of which sum to 1.

Eval(string[], double[])

Evaluates a context.

public override double[] Eval(string[] context, double[] probs)

Parameters

context string[]

A list of String names of the contextual predicates which are to be evaluated together.

probs double[]

An array which is populated with the probabilities for each of the different outcomes, all of which sum to 1.

Returns

double[]

an array of the probabilities for each of the different outcomes, all of which sum to 1.

Eval(string[], float[])

Evaluates a contexts with the specified context values.

public override double[] Eval(string[] context, float[] values)

Parameters

context string[]

A list of String names of the contextual predicates which are to be evaluated together.

values float[]

The values associated with each context.

Returns

double[]

an array of the probabilities for each of the different outcomes, all of which sum to 1.

Eval(string[], float[]?, double[])

public virtual double[] Eval(string[] context, float[]? values, double[] outsums)

Parameters

context string[]

values float[]

outsums double[]

Returns

double[]

InitOutcomeTotals(string[], Context[])

protected virtual double[] InitOutcomeTotals(string[] outcomeNames, Context[] @params)

Parameters

outcomeNames string[]

params Context[]

Returns

double[]