Welcome to BaTCoRe’s documentation!

Contents

• Overview
  • Installing BaTCoRe
  • Resources
  • Requirements
• Base Classes for Models
  • RecommenderBase
    • RecommenderBase.fit()
    • RecommenderBase.predict()
  • BanRecommenderBase
    • BanRecommenderBase.filter()
    • BanRecommenderBase.fit()
    • BanRecommenderBase.remove_inactive()
    • BanRecommenderBase.remove_user()
    • BanRecommenderBase.update_time()
• Available Models
  • ACRec
    • ACRec.fit()
    • ACRec.predict()
  • cHRev
    • cHRev.fit()
    • cHRev.predict()
  • RevFinder
    • RevFinder.fit()
    • RevFinder.predict()
  • RevRec
    • RevRec.fit()
    • RevRec.get_rc_score()
    • RevRec.get_re_score()
    • RevRec.get_scores()
    • RevRec.new_gen()
    • RevRec.predict()
    • RevRec.run_ga()
    • RevRec.set_banned()
    • RevRec.update_time()
  • Tie
    • Tie.bayes_score()
    • Tie.fit()
    • Tie.predict()
    • Tie.update_pull()
  • WRC
    • WRC.fit()
    • WRC.predict()
  • xFinder
    • xFinder.fit()
    • xFinder.predict()
  • CN
    • CN.fit()
    • CN.predict()
    • CN.predict_apriori()
    • CN.predict_community()
    • CN.predict_pac()
• Testing Methods
  • TesterBase
  • RecTester
  • RecTesterAliasTest
    • RecTesterAliasTest.test_recommender()
  • SimulTester
    • SimulTester.count_metric_dif()
    • SimulTester.simulate()
• Recommendation System Metrics
  • count_mrr()
  • recall()
  • precision()
  • accuracy()
  • f1score()
  • bootstrap_estimation()
  • count_topk_metric()
  • count_metrics()
• Metrics for Simulated History
  • CounterBase
  • CoreWorkloadCounter()
  • ExpertiseCounter
    • ExpertiseCounter.prepare()
  • FaRCounter
    • FaRCounter.prepare()
• Data Classes
  • StandardDataset
    • StandardDataset.additional_preprocessing()
    • StandardDataset.get_comments()
    • StandardDataset.get_commits()
    • StandardDataset.get_pulls()
    • StandardDataset.itemize_files()
    • StandardDataset.itemize_pulls()
    • StandardDataset.itemize_users()
    • StandardDataset.preprocess()
    • StandardDataset.replace()
    • StandardDataset.to_checkpoint()
  • MRLoaderData
    • MRLoaderData.get_df()
    • MRLoaderData.prepare()
    • MRLoaderData.prepare_pulls()
    • MRLoaderData.to_checkpoint()
• DataLoader Classes
  • LoaderBase
  • PullLoader
  • PullLoaderAliasTest
• Alias Matching
  • get_clusters()
  • get_sim_matrix()
  • sim_users()
  • get_norm_levdist()
  • name_handle_dist()
• Examples
  • Running implemented models
  • Loading dataset from MRLoader output
  • Creating Dataset from GerritLoader
  • Creating new model
• Data Description
  • Processing MRLoader output
    • Dataframes
    • Saving and Loading
  • Custom data
    • Required data for different models