Class BimetricScoreResult

Namespace

Textkernel.Tx.Models.API.BimetricScoring

Assembly

Textkernel.Tx.SDK.dll

And individual result (representing a single document) for a 'BimetricScore' request

public class BimetricScoreResult : IBimetricScoredResult

Inheritance

object

BimetricScoreResult

Implements

IBimetricScoredResult

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Properties

EnrichedRCSScoreData

Detailed information/evidence about the ReverseCompatibilityScore

public EnrichedScoreData EnrichedRCSScoreData { get; set; }

Property Value

EnrichedScoreData

EnrichedScoreData

Detailed information/evidence about the WeightedScore

public EnrichedScoreData EnrichedScoreData { get; set; }

Property Value

EnrichedScoreData

Id

The document id of the result

public string Id { get; set; }

Property Value

string

ReverseCompatibilityScore

An integer score from 0-100 which represents how well the target document matched to the source document. This is equivalent to the WeightedScore if you ran the match/score with the source and target documents swapped. A score of 100 means that all of the data points in the target document were found in the source document, but the source document may have had many extra data points.

public int ReverseCompatibilityScore { get; set; }

Property Value

int

SovScore

An integer score from 0-100 representing the overall fit of the match. This is the result of a proprietary algorithm that combines the WeightedScore and the ReverseCompatibilityScore into one overall score. Results are sorted by this parameter in descending order.

public int SovScore { get; set; }

Property Value

int

WeightedScore

An integer score from 0-100 representing how well the current document matched the source document. This calculation is the sum of the unweighted category scores multiplied by their respective applied weight. A score of 100 means that all of the data points in the source document were found in the target document, but the target document may have had many extra data points.

See also:
UnweightedScore
AppliedCategoryWeights

public int WeightedScore { get; set; }

Property Value

int