RecommenderEvaluator<TInstanceSource, TUser, TItem, TGroundTruthRating, TPredictedRating, TPredictedRatingDist>
RecommenderEvaluator(IRecommenderEvaluatorMapping<TInstanceSource, TUser, TItem, TGroundTruthRating>)- FindRelatedItemsRatedBySameUsers<TFeatureSource>(IRecommender<TInstanceSource, TUser, TItem, TPredictedRating, TPredictedRatingDist, TFeatureSource>, TInstanceSource, Int32, Int32, Int32, TFeatureSource)
- FindRelatedUsersWhoRatedSameItems<TFeatureSource>(IRecommender<TInstanceSource, TUser, TItem, TPredictedRating, TPredictedRatingDist, TFeatureSource>, TInstanceSource, Int32, Int32, Int32, TFeatureSource)
- ItemRecommendationMetric(TInstanceSource, IDictionary<TUser, IEnumerable<TItem>>, Func<IEnumerable<Double>, Double>, Func<TGroundTruthRating, Double>)
- ItemRecommendationMetric(TInstanceSource, IDictionary<TUser, IEnumerable<TItem>>, Func<IEnumerable<Double>, IEnumerable<Double>, Double>, Func<TGroundTruthRating, Double>)
- RatingPredictionMetric(TInstanceSource, IDictionary<TUser, IDictionary<TItem, TPredictedRating>>, Func<TGroundTruthRating, TPredictedRating, Double>, RecommenderMetricAggregationMethod)
- RatingPredictionMetric(TInstanceSource, IDictionary<TUser, IDictionary<TItem, TPredictedRatingDist>>, Func<TGroundTruthRating, TPredictedRatingDist, Double>, RecommenderMetricAggregationMethod)
- RecommendRatedItems<TFeatureSource>(IRecommender<TInstanceSource, TUser, TItem, TPredictedRating, TPredictedRatingDist, TFeatureSource>, TInstanceSource, Int32, Int32, TFeatureSource)
- RelatedItemsMetric(TInstanceSource, IDictionary<TItem, IEnumerable<TItem>>, Int32, Func<IEnumerable<Double>, Double>, Func<Vector, Vector, Double>, Func<TGroundTruthRating, Double>)
- RelatedItemsMetric(TInstanceSource, IDictionary<TItem, IEnumerable<TItem>>, Int32, Func<IEnumerable<Double>, IEnumerable<Double>, Double>, Func<Vector, Vector, Double>, Func<TGroundTruthRating, Double>)
- RelatedUsersMetric(TInstanceSource, IDictionary<TUser, IEnumerable<TUser>>, Int32, Func<IEnumerable<Double>, Double>, Func<Vector, Vector, Double>, Func<TGroundTruthRating, Double>)
- RelatedUsersMetric(TInstanceSource, IDictionary<TUser, IEnumerable<TUser>>, Int32, Func<IEnumerable<Double>, IEnumerable<Double>, Double>, Func<Vector, Vector, Double>, Func<TGroundTruthRating, Double>)
netcoreapp3.0
namespace Microsoft.ML.Probabilistic.Learners
{
public class RecommenderEvaluator<TInstanceSource, TUser, TItem, TGroundTruthRating, TPredictedRating, TPredictedRatingDist>
{
public IDictionary<TUser, IEnumerable<TItem>> RecommendRatedItems<TFeatureSource>(IRecommender<TInstanceSource, TUser, TItem, TPredictedRating, TPredictedRatingDist, TFeatureSource> recommender, TInstanceSource instanceSource, int maxRecommendedItemCount, int minRecommendationPoolSize, TFeatureSource featureSource = null);
}
}
| .NET | 5.06.07.08.09.0 |
|---|---|
| .NET Core | 2.02.12.23.03.1 |
| .NET Framework | 4.6.14.6.24.74.7.14.7.24.84.8.1 |
| .NET Standard | 2.02.1 |
Information specific to netcoreapp3.0 | |
| Assembly | Microsoft.ML.Probabilistic.Learners.Recommender , Version=0.4.2403.801, PublicKeyToken=e4813102a62778da |
| Referencing | Your project needs a package reference to |
| Package | Microsoft.ML.Probabilistic.Learners (0.4.2403.801) netstandard2.0 |
| Platform Restrictions | This framework does not have platform annotations. |
- Built-in API
- Package-provided API