C# 클래스 BuildIt.CognitiveServices.Models.DiversityItemRecommend

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Private Properties

프로퍼티	타입	설명

공개 메소드들

메소드	설명
DiversityItemRecommend ( ) : System.Linq	Initializes a new instance of the DiversityItemRecommend class.
DiversityItemRecommend ( System percentileBuckets = default(System.Collections.Generic.IList<PercentileBucket>), int totalItemsRecommended = default(int?), int uniqueItemsRecommended = default(int?), int uniqueItemsInTrainSet = default(int?), string error = default(string) ) : System.Linq	Initializes a new instance of the DiversityItemRecommend class.

메소드 상세

DiversityItemRecommend() 공개 메소드

Initializes a new instance of the DiversityItemRecommend class.

public DiversityItemRecommend ( ) : System.Linq
리턴	System.Linq

DiversityItemRecommend() 공개 메소드

Initializes a new instance of the DiversityItemRecommend class.

public DiversityItemRecommend ( System percentileBuckets = default(System.Collections.Generic.IList<PercentileBucket>), int totalItemsRecommended = default(int?), int uniqueItemsRecommended = default(int?), int uniqueItemsInTrainSet = default(int?), string error = default(string) ) : System.Linq
percentileBuckets	System	Each percentile bucket is /// represented by a span (min/max values /// that range between 0 and 100). The items close to 100 /// are the /// most popular items, and the items close to 0 are the /// least popular.
totalItemsRecommended	int	The total number of items /// recommended. (some may be duplicates)
uniqueItemsRecommended	int	Number of distinct items that /// were returned for evaluation.
uniqueItemsInTrainSet	int	Number of distinct items in /// the train dataset.
error	string	Error message to indicate reason in failure /// cases.
리턴	System.Linq