C# 클래스 BigML.Model.LocalModel

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공개 메소드들

메소드	설명
getFieldById ( string fieldId ) : DataSet.Field
getFieldByName ( string fieldName ) : DataSet.Field
predict ( dynamic>.Dictionary inputData, bool byName = true, int missing_strategy ) : Node	Generates a prediction based on this Model
prepareInputData ( dynamic>.Dictionary inputData, bool byName = true ) : dynamic>.Dictionary	Clean input data introduced for a prediction removing fields without valid value and populates the result's Dictionary by fieldID

비공개 메소드들

메소드	설명
LocalModel ( JsonValue jsonObject, DataSet.Field>.Dictionary fields ) : System
countWords ( string inData, string predicateValue ) : int
getFieldInfo ( string fieldId ) : DataSet.Field
getFieldTermAnalysis ( DataSet currentField ) : string>.Dictionary
predictNode ( Node currentNode, dynamic>.Dictionary inputData ) : Node
termMatches ( string text, string fieldLabel, string term ) : int

메소드 상세

getFieldById() 공개 메소드

public getFieldById ( string fieldId ) : DataSet.Field
fieldId	string
리턴	DataSet.Field

getFieldByName() 공개 메소드

public getFieldByName ( string fieldName ) : DataSet.Field
fieldName	string
리턴	DataSet.Field

predict() 공개 메소드

Generates a prediction based on this Model

public predict ( dynamic>.Dictionary inputData, bool byName = true, int missing_strategy ) : Node
inputData	dynamic>.Dictionary	Map with the ID or name of each field and its value
byName	bool	Flag for the inputData key: /// * true if fieldName is the key, /// * false if the key is the field ID
missing_strategy	int	Which strategy should use the prediction
리턴	Node

prepareInputData() 공개 메소드

Clean input data introduced for a prediction removing fields without valid value and populates the result's Dictionary by fieldID

public prepareInputData ( dynamic>.Dictionary inputData, bool byName = true ) : dynamic>.Dictionary
inputData	dynamic>.Dictionary	Original input data
byName	bool
리턴	dynamic>.Dictionary