C# Class BuildIt.CognitiveServices.Models.RecommendationBuildParameters

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Private Properties

Property	Type	Description

Public Methods

Method	Description
RecommendationBuildParameters ( ) : System.Linq	Initializes a new instance of the RecommendationBuildParameters class.
RecommendationBuildParameters ( int numberOfModelIterations = default(int?), int numberOfModelDimensions = default(int?), int itemCutOffLowerBound = default(int?), int itemCutOffUpperBound = default(int?), int userCutOffLowerBound = default(int?), int userCutOffUpperBound = default(int?), bool enableModelingInsights = default(bool?), string splitterStrategy = default(string), RandomSplitterParameters randomSplitterParameters = default(RandomSplitterParameters), DateSplitterParameters dateSplitterParameters = default(DateSplitterParameters), int popularItemBenchmarkWindow = default(int?), bool useFeaturesInModel = default(bool?), string modelingFeatureList = default(string), bool allowColdItemPlacement = default(bool?), bool enableFeatureCorrelation = default(bool?), string reasoningFeatureList = default(string), bool enableU2I = default(bool?) ) : System.Linq	Initializes a new instance of the RecommendationBuildParameters class.

Method Details

RecommendationBuildParameters() public method

Initializes a new instance of the RecommendationBuildParameters class.

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

RecommendationBuildParameters() public method

Initializes a new instance of the RecommendationBuildParameters class.

public RecommendationBuildParameters ( int numberOfModelIterations = default(int?), int numberOfModelDimensions = default(int?), int itemCutOffLowerBound = default(int?), int itemCutOffUpperBound = default(int?), int userCutOffLowerBound = default(int?), int userCutOffUpperBound = default(int?), bool enableModelingInsights = default(bool?), string splitterStrategy = default(string), RandomSplitterParameters randomSplitterParameters = default(RandomSplitterParameters), DateSplitterParameters dateSplitterParameters = default(DateSplitterParameters), int popularItemBenchmarkWindow = default(int?), bool useFeaturesInModel = default(bool?), string modelingFeatureList = default(string), bool allowColdItemPlacement = default(bool?), bool enableFeatureCorrelation = default(bool?), string reasoningFeatureList = default(string), bool enableU2I = default(bool?) ) : System.Linq
numberOfModelIterations	int	The number of iterations the /// model performs. /// The higher the number, the better accuracy, but /// compute time will be higher.
numberOfModelDimensions	int	The number of dimensions /// relates to the number of 'features' the model will try to find /// within your data. /// Increasing the number of dimensions will allow better /// fine-tuning of the results into smaller clusters. /// However, too many dimensions will prevent the model /// from finding correlations between items.
itemCutOffLowerBound	int	Defines the item lower bound /// for usage condenser.
itemCutOffUpperBound	int	Defines the item upper bound /// for usage condenser.
userCutOffLowerBound	int	Defines the user lower bound /// for usage condenser.
userCutOffUpperBound	int	Defines the user upper bound /// for usage condenser.
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)
useFeaturesInModel	bool	Indicates if features can be used /// in order to enhance the recommendation model.
modelingFeatureList	string	Comma-separated list of feature /// names to be used during build.
allowColdItemPlacement	bool	Indicates if the /// recommendation should also push cold items via feature /// similarity.
enableFeatureCorrelation	bool	Indicates if features can /// be used in reasoning.
reasoningFeatureList	string	Comma-separated list of feature /// names to be used for reasoning sentences (e.g. recommendation /// explanations).
enableU2I	bool	Allow the personalized recommendation /// a.k.a. U2I (user to item recommendations).
return	System.Linq