RecTools

Table of Contents

  • Components
  • Dataset
    • Dataset
    • DenseFeatures
    • IdMap
    • Interactions
    • SparseFeatures
  • Models
    • DSSMModel
    • EASEModel
    • ImplicitALSWrapperModel
    • ImplicitItemKNNWrapperModel
    • LightFMWrapperModel
    • PopularInCategoryModel
    • PopularModel
    • PureSVDModel
    • RandomModel
    • load_model
    • model_from_config
  • Metrics
    • Accuracy
    • AvgRecPopularity
    • CoveredUsers
    • DebiasConfig
    • F1Beta
    • HitRate
    • Intersection
    • IntraListDiversity
    • MAP
    • MCC
    • MRR
    • MeanInvUserFreq
    • NDCG
    • PAP
    • PairwiseDistanceCalculator
    • PairwiseHammingDistanceCalculator
    • PartialAUC
    • Precision
    • Recall
    • Serendipity
    • SparsePairwiseHammingDistanceCalculator
    • SufficientReco
    • UnrepeatedReco
    • calc_metrics
    • debias_interactions
  • Model selection
    • LastNSplitter
    • RandomSplitter
    • Splitter
    • TimeRangeSplitter
  • Tools
    • ItemToItemAnnRecommender
    • UserToItemAnnRecommender
  • Visuals
    • ItemToItemVisualApp
    • MetricsApp
    • VisualApp
  • API
    • dataset
      • dataset
        • Dataset
      • features
        • DenseFeatures
        • SparseFeatures
        • rectools.dataset.features.AbsentIdError
        • rectools.dataset.features.UnknownIdError
      • identifiers
        • IdMap
      • interactions
        • Interactions
      • torch_datasets
        • DSSMItemDataset
        • DSSMItemDatasetBase
        • DSSMTrainDataset
        • DSSMTrainDatasetBase
        • DSSMUserDataset
        • DSSMUserDatasetBase
    • metrics
      • auc
        • calc_auc_metrics
        • AUCFitted
        • InsufficientHandling
        • PAP
        • PartialAUC
        • _AUCMetric
      • base
        • merge_reco
        • outer_merge_reco
        • MetricAtK
      • classification
        • calc_classification_metrics
        • calc_confusions
        • make_confusions
        • Accuracy
        • ClassificationMetric
        • F1Beta
        • HitRate
        • MCC
        • Precision
        • Recall
        • SimpleClassificationMetric
      • debias
        • calc_debiased_fit_task
        • debias_for_metric_configs
        • debias_interactions
        • DebiasConfig
        • DebiasableMetrikAtK
      • distances
        • PairwiseDistanceCalculator
        • PairwiseHammingDistanceCalculator
        • SparsePairwiseHammingDistanceCalculator
      • diversity
        • calc_diversity_metrics
        • DiversityMetric
        • ILDFitted
        • IntraListDiversity
      • dq
        • calc_cross_dq_metrics
        • calc_reco_dq_metrics
        • CoveredUsers
        • CrossDQMetric
        • SufficientReco
        • UnrepeatedReco
        • _RecoDQMetric
      • intersection
        • calc_intersection_metrics
        • Intersection
        • IntersectionMetric
      • novelty
        • calc_novelty_metrics
        • MIUFFitted
        • MeanInvUserFreq
        • NoveltyMetric
      • popularity
        • calc_popularity_metrics
        • AvgRecPopularity
        • PopularityMetric
      • ranking
        • calc_ranking_metrics
        • MAP
        • MAPFitted
        • MRR
        • NDCG
        • _RankingMetric
      • scoring
        • calc_metrics
      • serendipity
        • calc_serendipity_metrics
        • Serendipity
        • SerendipityFitted
        • SerendipityMetric
    • model_selection
      • cross_validate
      • last_n_split
        • LastNSplitter
      • random_split
        • RandomSplitter
      • splitter
        • Splitter
      • time_split
        • TimeRangeSplitter
      • utils
        • get_not_seen_mask
    • models
      • base
        • FixedColdRecoModelMixin
        • ModelBase
        • ModelConfig
      • dssm
        • DSSM
        • DSSMModel
        • ItemNet
        • UserNet
      • ease
        • EASEModel
        • EASEModelConfig
      • implicit_als
        • fit_als_with_features_separately_inplace
        • fit_als_with_features_together_inplace
        • get_items_vectors
        • get_users_vectors
        • AlternatingLeastSquaresConfig
        • ImplicitALSWrapperModel
        • ImplicitALSWrapperModelConfig
      • implicit_knn
        • ImplicitItemKNNWrapperModel
        • ImplicitItemKNNWrapperModelConfig
        • ItemItemRecommenderConfig
      • lightfm
        • LightFMConfig
        • LightFMWrapperModel
        • LightFMWrapperModelConfig
      • popular
        • PopularModel
        • PopularModelConfig
        • PopularModelMixin
        • Popularity
      • popular_in_category
        • MixingStrategy
        • PopularInCategoryModel
        • PopularInCategoryModelConfig
        • RatioStrategy
      • pure_svd
        • PureSVDModel
        • PureSVDModelConfig
      • random
        • RandomModel
        • RandomModelConfig
        • _RandomGen
        • _RandomSampler
      • rank
        • Distance
        • ImplicitRanker
      • serialization
        • load_model
        • model_from_config
      • utils
        • get_viewed_item_ids
        • recommend_from_scores
      • vector
        • Factors
        • VectorModel
    • tools
      • ann
        • BaseNmslibRecommender
        • ItemToItemAnnRecommender
        • UserToItemAnnRecommender
    • visuals
      • metrics_app
        • MetricsApp
      • visual_app
        • AppDataStorage
        • ItemToItemVisualApp
        • StorageFiles
        • VisualApp
        • VisualAppBase
  • Examples
    • Simple example of building recommendations with RecTools
    • Example of model selection using cross-validation with RecTools
    • Examples of calculating different metrics with RecTools
    • Examples of constructing datasets with features in RecTools
    • Benchmark quality: RecTools wrapper for iALS with features
    • Benchmark inference speed: RecTools wrapper for LightFM
    • Example of VisualApp for recommendations
  • Tutorials
    • Recommender baselines extended tutorial
    • Prepare data
    • Matrix Factorization
    • Nearest Neighbours
    • Linear Autoencoders
  • FAQ
  • Support
RecTools
  • »
  • Search


© Copyright 2022 MTS (Mobile Telesystems) Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. .

Built with Sphinx using a theme provided by Read the Docs.