C# 클래스 BuildIt.CognitiveServices.Models.FbtBuildParameters

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Private Properties

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FbtBuildParameters ( ) : System.Linq

Initializes a new instance of the FbtBuildParameters class.

FbtBuildParameters ( int supportThreshold = default(int?), int maxItemSetSize = default(int?), double minimalScore = default(double?), string similarityFunction = default(string), bool enableModelingInsights = default(bool?), string splitterStrategy = default(string), RandomSplitterParameters randomSplitterParameters = default(RandomSplitterParameters), DateSplitterParameters dateSplitterParameters = default(DateSplitterParameters), int popularItemBenchmarkWindow = default(int?) ) : System.Linq

Initializes a new instance of the FbtBuildParameters class.

메소드 상세

FbtBuildParameters() 공개 메소드

Initializes a new instance of the FbtBuildParameters class.
public FbtBuildParameters ( ) : System.Linq
리턴 System.Linq

FbtBuildParameters() 공개 메소드

Initializes a new instance of the FbtBuildParameters class.
public FbtBuildParameters ( int supportThreshold = default(int?), int maxItemSetSize = default(int?), double minimalScore = default(double?), string similarityFunction = default(string), bool enableModelingInsights = default(bool?), string splitterStrategy = default(string), RandomSplitterParameters randomSplitterParameters = default(RandomSplitterParameters), DateSplitterParameters dateSplitterParameters = default(DateSplitterParameters), int popularItemBenchmarkWindow = default(int?) ) : System.Linq
supportThreshold int Number of co-occurrences of items /// to be considered for modeling.
maxItemSetSize int Bound for number of items in a /// frequent set.
minimalScore double Minimal score that a frequent set /// should have in order to be included in the returned /// results.
similarityFunction string Defines the similarity function /// to be used by the build. /// Lift favors serendipity, Co-occurrence favors /// predictability, and Jaccard is a nice compromise between the /// two.
enableModelingInsights bool Enable or disable metrics /// computation for the model.
splitterStrategy string Defines the splitter strategy to be /// used by the build. /// RandomSplitter splits the usage data in train and test /// sets based on the given /// randomSplitterParameters value. /// LastEventSplitter splits the usage data in train and /// test sets based on the last /// transaction for a each user.
randomSplitterParameters RandomSplitterParameters Specifies the parameters to /// be used for random splitter.
dateSplitterParameters DateSplitterParameters Specifies the parameters to /// be used for date splitter.
popularItemBenchmarkWindow int Specifies the parameters /// to be used for computing popular items for modeling insights. (in /// number of days)
리턴 System.Linq