MatchboxRatingPrediction_EP
Changed_AffinityNoiseVariance_ItemBiasPrior_ItemIds_ItemTraitsPrior_ObservationCount_TraitCount_User27_isDone- Changed_AffinityNoiseVariance_ItemBiasPrior_ItemIds_ItemTraitsPrior_ObservationCount_TraitCount_User29_isDone
- Changed_ItemBiasPrior_isDone
- Changed_ItemBiasPrior_ItemIds_ItemTraitsPrior_ObservationCount_TraitCount_UserBiasPrior_UserIds_User26_isDone
- Changed_ItemBiasPrior_ItemIds_ObservationCount_isDone
- Changed_ItemBiasPrior_ItemIds_ObservationCount_UserBiasPrior_UserIds_isDone
- Changed_ItemIds_ItemTraitsPrior_ObservationCount_isDone
- Changed_ItemIds_ItemTraitsPrior_ObservationCount_TraitCount_isDone
- Changed_ItemIds_ItemTraitsPrior_ObservationCount_TraitCount_UserIds_UserTraitsPrior_isDone
- Changed_ItemTraitsPrior_isDone
- Changed_ObservationCount_isDone
- Changed_ObservationCount_TraitCount_isDone
- Changed_ObservationCount_TraitCount_UserIds_UserTraitsPrior_isDone
- Changed_ObservationCount_UserBiasPrior_UserIds_isDone
- Changed_ObservationCount_UserIds_UserThresholdCount_UserThresholdNoiseVariance_UserThresholdsPrior_U28_isDone
- Changed_ObservationCount_UserIds_UserThresholdCount_UserThresholdsPrior_UseSharedUserThresholds_isDone
- Changed_ObservationCount_UserIds_UserTraitsPrior_isDone
- Changed_ObservationCount_UserThresholdCount_isDone
- Changed_ObservationCount_UserThresholdCount_UserThresholdsPrior_UseSharedUserThresholds_isDone
- Changed_ObservationCount_UserThresholdCount_UseSharedUserThresholds_isDone
- Changed_ObservationCount_UseSharedUserThresholds_isDone
- Changed_UserBiasPrior_isDone
- Changed_UserThresholdCount_isDone
- Changed_UserThresholdCount_UserThresholdsPrior_UseSharedUserThresholds_isDone
- Changed_UserThresholdCount_UseSharedUserThresholds_isDone
- Changed_UserThresholdsPrior_isDone
- Changed_UserThresholdsPrior_UseSharedUserThresholds_isDone
- Changed_UserTraitsPrior_isDone
- Changed_UseSharedUserThresholds_isDone
- Constant_isDone
- CurrentRating_reduced
- ItemBias_itemItemIds_observation__F
- ItemBias_use_B
- ItemBias_use_F_marginal
- itemBiasObs_B
- itemTrait_B
- ItemTraits_itemItemIds_observation__F
- ItemTraits_use_B
- ItemTraits_use_F_marginal
- NextRating_reduced
- Ratings_F_reduced
- Ratings_marginal_F
- Ratings_observation__selector_cases_B
- Ratings_observation__selector_cases_uses_B
- Ratings_observation__selector_uses_B
- Ratings_observation__selector_uses_B_toDef
- true_logZ
- UserBias_itemUserIds_observation__F
- UserBias_use_B
- UserBias_use_F_marginal
- userBiasObs_B
- UserThresholds_0__gi_0__F
- UserThresholds_depth2_rep_B_toDef
- UserThresholds_depth2_rep_F
- UserThresholds_depth2_rep_F_marginal
- UserThresholds_itemUserIds_observation__F
- UserThresholds_use_B
- UserThresholds_use_F_marginal
- UserThresholdsObs_B
- UserThresholdsObs_B_reduced
- UserThresholdsObs_F
- userTrait_B
- UserTraits_itemUserIds_observation__F
- UserTraits_use_B
- UserTraits_use_F_marginal
- vbool9_reduced
- vdouble__78_F
- vdouble__88_F
- vdouble__89_F
- vdouble163_F
- vdouble165_F
- vdouble166_F
- vdouble167_F
- vdouble168_F
- vdouble169_F
- vint45
MatchboxRatingPrediction_EP()
AffinityNoiseVariance- ItemBiasPrior
- ItemCount
- ItemIds
- ItemTraitsPrior
- NumberOfIterationsDone
- ObservationCount
- TraitCount
- UserBiasPrior
- UserCount
- UserIds
- UserThresholdCount
- UserThresholdNoiseVariance
- UserThresholdsPrior
- UserTraitsPrior
- UseSharedUserThresholds
- Execute(Int32)
- GetObservedValue(String)
- Marginal(String)
- Marginal(String, String)
- Marginal<T>(String)
- Marginal<T>(String, String)
- RatingsMarginal()
- Reset()
- SetObservedValue(String, Object)
- Update(Int32)
ProgressChanged
net6.0
namespace Microsoft.ML.Probabilistic.Learners.MatchboxRecommenderInternal
{
public class MatchboxRatingPrediction_EP : IGeneratedAlgorithm
{
public bool Changed_ObservationCount_TraitCount_isDone;
}
}
| .NET | 5.06.07.08.09.010.0 |
|---|---|
| .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 net6.0 | |
| 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 API is supported on all platforms. |
- Built-in API
- Package-provided API