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    Class NegativeDataGeneratorMapping<TInstanceSource, TInstance, TUser, TItem, TFeatureSource, TFeatureValues>

    Represents a generator of negative ratings.

    Inheritance
    Object
    NegativeDataGeneratorMapping<TInstanceSource, TInstance, TUser, TItem, TFeatureSource, TFeatureValues>
    Implements
    IStarRatingRecommenderMapping<TInstanceSource, RatingInstance<TUser, TItem, Byte>, TUser, TItem, Int32, TFeatureSource, TFeatureValues>
    IRatingRecommenderMapping<TInstanceSource, RatingInstance<TUser, TItem, Byte>, TUser, TItem, Int32, TFeatureSource, TFeatureValues>
    IRecommenderMapping<TInstanceSource, RatingInstance<TUser, TItem, Byte>, TUser, TItem, TFeatureSource, TFeatureValues>
    ICustomSerializable
    Inherited Members
    Object.Equals(Object)
    Object.Equals(Object, Object)
    Object.GetHashCode()
    Object.GetType()
    Object.MemberwiseClone()
    Object.ReferenceEquals(Object, Object)
    Object.ToString()
    Namespace: Microsoft.ML.Probabilistic.Learners.Mappings
    Assembly: Microsoft.ML.Probabilistic.Learners.Recommender.dll
    Syntax
    [Serializable]
    public class NegativeDataGeneratorMapping<TInstanceSource, TInstance, TUser, TItem, TFeatureSource, TFeatureValues> : IStarRatingRecommenderMapping<TInstanceSource, RatingInstance<TUser, TItem, byte>, TUser, TItem, int, TFeatureSource, TFeatureValues>, IRatingRecommenderMapping<TInstanceSource, RatingInstance<TUser, TItem, byte>, TUser, TItem, int, TFeatureSource, TFeatureValues>, IRecommenderMapping<TInstanceSource, RatingInstance<TUser, TItem, byte>, TUser, TItem, TFeatureSource, TFeatureValues>, ICustomSerializable
    Type Parameters
    Name Description
    TInstanceSource

    The type of an instance source.

    TInstance

    The type of an instance.

    TUser

    The type of a user.

    TItem

    The type of an item.

    TFeatureSource

    The type of a feature source.

    TFeatureValues

    The type of the feature values.

    Remarks

    A description of the algorithm for negative data generation used here can be found in Section 4.1 of this paper.

    Constructors

    NegativeDataGeneratorMapping(IRecommenderMapping<TInstanceSource, TInstance, TUser, TItem, TFeatureSource, TFeatureValues>, Double)

    Initializes a new instance of the NegativeDataGeneratorMapping<TInstanceSource, TInstance, TUser, TItem, TFeatureSource, TFeatureValues> class.

    Declaration
    public NegativeDataGeneratorMapping(IRecommenderMapping<TInstanceSource, TInstance, TUser, TItem, TFeatureSource, TFeatureValues> mapping, double itemHistogramAdjustment = 1.2)
    Parameters
    Type Name Description
    IRecommenderMapping<TInstanceSource, TInstance, TUser, TItem, TFeatureSource, TFeatureValues> mapping

    The top level mapping.

    Double itemHistogramAdjustment

    The degree to which each element of the item histogram is raised before sampling. Should be different from 1.0 if it is believed that there is some quality bar which drives popular items to be more generally liked.

    NegativeDataGeneratorMapping(IReader, IRecommenderMapping<TInstanceSource, TInstance, TUser, TItem, TFeatureSource, TFeatureValues>)

    Initializes a new instance of the NegativeDataGeneratorMapping<TInstanceSource, TInstance, TUser, TItem, TFeatureSource, TFeatureValues> class from a reader of a binary stream.

    Declaration
    public NegativeDataGeneratorMapping(IReader reader, IRecommenderMapping<TInstanceSource, TInstance, TUser, TItem, TFeatureSource, TFeatureValues> mapping)
    Parameters
    Type Name Description
    IReader reader

    The binary reader to read the state of the negative data generation mapping from.

    IRecommenderMapping<TInstanceSource, TInstance, TUser, TItem, TFeatureSource, TFeatureValues> mapping

    The top level mapping.

    Methods

    GetInstances(TInstanceSource)

    Retrieves a list of instances from a given instance source.

    Declaration
    public IEnumerable<RatingInstance<TUser, TItem, byte>> GetInstances(TInstanceSource instanceSource)
    Parameters
    Type Name Description
    TInstanceSource instanceSource

    The instance source to retrieve instances from.

    Returns
    Type Description
    IEnumerable<RatingInstance<TUser, TItem, Byte>>

    The list of retrieved instances.

    GetItem(TInstanceSource, RatingInstance<TUser, TItem, Byte>)

    Extracts an item from a given instance.

    Declaration
    public TItem GetItem(TInstanceSource instanceSource, RatingInstance<TUser, TItem, byte> instance)
    Parameters
    Type Name Description
    TInstanceSource instanceSource

    The instance source providing the instance.

    RatingInstance<TUser, TItem, Byte> instance

    The instance to extract the item from.

    Returns
    Type Description
    TItem

    The extracted item.

    GetItemFeatures(TFeatureSource, TItem)

    Provides the features for a given item.

    Declaration
    public TFeatureValues GetItemFeatures(TFeatureSource featureSource, TItem item)
    Parameters
    Type Name Description
    TFeatureSource featureSource

    The source of the features.

    TItem item

    The item to provide the features for.

    Returns
    Type Description
    TFeatureValues

    The features for item.

    GetRating(TInstanceSource, RatingInstance<TUser, TItem, Byte>)

    Extracts a rating from a given instance.

    Declaration
    public int GetRating(TInstanceSource instanceSource, RatingInstance<TUser, TItem, byte> instance)
    Parameters
    Type Name Description
    TInstanceSource instanceSource

    The instance source providing the instance.

    RatingInstance<TUser, TItem, Byte> instance

    The instance to extract the rating from.

    Returns
    Type Description
    Int32

    The extracted rating.

    GetRatingInfo(TInstanceSource)

    Provides the object describing how ratings in the dataset map to the stars.

    Declaration
    public IStarRatingInfo<int> GetRatingInfo(TInstanceSource instanceSource)
    Parameters
    Type Name Description
    TInstanceSource instanceSource

    The instance source.

    Returns
    Type Description
    IStarRatingInfo<Int32>

    The object describing how ratings provided by the instance source map to stars.

    GetUser(TInstanceSource, RatingInstance<TUser, TItem, Byte>)

    Extracts a user from a given instance.

    Declaration
    public TUser GetUser(TInstanceSource instanceSource, RatingInstance<TUser, TItem, byte> instance)
    Parameters
    Type Name Description
    TInstanceSource instanceSource

    The instance source providing the instance.

    RatingInstance<TUser, TItem, Byte> instance

    The instance to extract the user from.

    Returns
    Type Description
    TUser

    The extracted user.

    GetUserFeatures(TFeatureSource, TUser)

    Provides the features for a given user.

    Declaration
    public TFeatureValues GetUserFeatures(TFeatureSource featureSource, TUser user)
    Parameters
    Type Name Description
    TFeatureSource featureSource

    The source of the features.

    TUser user

    The user to provide the features for.

    Returns
    Type Description
    TFeatureValues

    The features for user.

    SaveForwardCompatible(IWriter)

    Saves the negative data generation mapping using the specified writer to a binary stream.

    Declaration
    public void SaveForwardCompatible(IWriter writer)
    Parameters
    Type Name Description
    IWriter writer

    The writer to save the negative data generation mapping to.

    Implements

    IStarRatingRecommenderMapping<TInstanceSource, TInstance, TUser, TItem, TRating, TFeatureSource, TFeatureValues>
    IRatingRecommenderMapping<TInstanceSource, TInstance, TUser, TItem, TRating, TFeatureSource, TFeatureValues>
    IRecommenderMapping<TInstanceSource, TInstance, TUser, TItem, TFeatureSource, TFeatureValues>
    ICustomSerializable

    Extension Methods

    RecommenderMappingExtensions.SplitToTrainTest<TInstanceSource, TInstance, TUser, TItem, TFeatureSource, TFeatureValues>(IRecommenderMapping<TInstanceSource, TInstance, TUser, TItem, TFeatureSource, TFeatureValues>, Double, Double, Double, Double, Double, Double, Boolean)
    RecommenderMappingExtensions.SplitToTrainTest<TInstanceSource, TInstance, TUser, TItem, TRating, TFeatureSource, TFeatureValues>(IRatingRecommenderMapping<TInstanceSource, TInstance, TUser, TItem, TRating, TFeatureSource, TFeatureValues>, Double, Double, Double, Double, Double, Double, Boolean)
    RecommenderMappingExtensions.SplitToTrainTest<TInstanceSource, TInstance, TUser, TItem, TRating, TFeatureSource, TFeatureValues>(IStarRatingRecommenderMapping<TInstanceSource, TInstance, TUser, TItem, TRating, TFeatureSource, TFeatureValues>, Double, Double, Double, Double, Double, Double, Boolean)
    RecommenderMappingExtensions.WithGeneratedNegativeData<TInstanceSource, TInstance, TUser, TItem, TFeatureSource, TFeatureValues>(IRecommenderMapping<TInstanceSource, TInstance, TUser, TItem, TFeatureSource, TFeatureValues>, Double)
    RecommenderMappingExtensions.ForEvaluation<TInstanceSource, TInstance, TUser, TItem, TRating, TFeatureSource, TFeatureValues>(IRatingRecommenderMapping<TInstanceSource, TInstance, TUser, TItem, TRating, TFeatureSource, TFeatureValues>)
    RecommenderMappingExtensions.ForEvaluation<TInstanceSource, TInstance, TUser, TItem, TRating, TFeatureSource, TFeatureValues>(IStarRatingRecommenderMapping<TInstanceSource, TInstance, TUser, TItem, TRating, TFeatureSource, TFeatureValues>)
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