C# Class BuildIt.CognitiveServices.Models.FbtBuildParameters

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Private Properties

Property	Type	Description

Public Methods

Method	Description
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.

Method Details

FbtBuildParameters() public method

Initializes a new instance of the FbtBuildParameters class.

public FbtBuildParameters ( ) : System.Linq
return	System.Linq

FbtBuildParameters() public method

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)
return	System.Linq