Class QNModel

public class QNModel : AbstractModel, 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.GetDataStructures()

AbstractModel.GetHashCode()

AbstractModel.Equals(object)

object.Equals(object, object)

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

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

Returns the number of outcomes for this model.

public override int NumOutcomes { get; }

Evaluates a context.

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

context string[]: A list of String names of the contextual predicates which are to be evaluated together.

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

Evaluates a context.

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

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.

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

Evaluates a contexts with the specified context values.

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

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.

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