ml

• nlp
  • components
    • corpus_stats
      • CorpusStats
    • entity_extractor
      • NerSummarization
      • clean_items()
      • concat_ner_and_chunks()
      • segment_overlaps()
    • event_extractor
      • EventExtractor
    • init_custom_components()
  • handlers
    • pandas
      • PandasHandler
    • sqllite
      • SqlLiteHandler
    • PersistenceHandler
      • PersistenceHandler.get_doc_data()
      • PersistenceHandler.get_doc_entities()
      • PersistenceHandler.get_doc_events()
      • PersistenceHandler.get_doc_ids()
      • PersistenceHandler.get_table()
      • PersistenceHandler.init_persistence()
      • PersistenceHandler.insert_doc()
      • PersistenceHandler.start_buffered_ingestion()
      • PersistenceHandler.stop_buffered_ingestion()
  • analytics
    • graph_stats()
  • nlp
    • LanguageProcessor
      • LanguageProcessor.DATASET_UUID
      • LanguageProcessor.available_models
      • LanguageProcessor.available_tasks()
      • LanguageProcessor.entities2features()
      • LanguageProcessor.events2features()
      • LanguageProcessor.get_doc_ids_and_dates()
      • LanguageProcessor.get_doc_nlp_features()
      • LanguageProcessor.get_doc_node_attributes()
      • LanguageProcessor.get_doc_numbers()
      • LanguageProcessor.get_single_doc_nlp_features()
      • LanguageProcessor.get_table()
      • LanguageProcessor.ingest()
      • LanguageProcessor.initialize_model()
    • counter_to_str_repr()
  • sentence_preprocessing
    • strip_parenthetical_expressions()
  • tfidf_based_kg
    • TfIdfBasedKG
      • TfIdfBasedKG.add_extra_features()
      • TfIdfBasedKG.compute_nlp_feature_vectors()
      • TfIdfBasedKG.construct_knowledge_graph()
      • TfIdfBasedKG.get_f_vectors()
      • TfIdfBasedKG.get_kg_corpus()
      • TfIdfBasedKG.get_tfidif_model()
      • TfIdfBasedKG.set_f_vectors()
      • TfIdfBasedKG.set_kg_corpus()
      • TfIdfBasedKG.set_tfidif_model()
    • analyze_entity_proportions()
    • compute_opt_sim_mat()
    • difference_of_proportion_test()
    • get_ranked_nlp_features()
    • preprocessor()
    • similarity_threshold_experiment()
    • tokenizer()

• model
  • Model
    • Model.get_all_metainfo()
    • Model.get_recent_time()
    • Model.get_time()
    • Model.update_model_notes()
• xai
  • Explainer
    • Explainer.explain()
    • Explainer.get_data_likelihood()
    • Explainer.get_feature_explanation()
    • Explainer.get_text_explanation()
    • Explainer.plot_waterfall_instance()
    • Explainer.replace_dataset()
    • Explainer.smart_instance_selection()
    • Explainer.train_data_likelihood_model()
  • ExplainerReturnTypes
    • ExplainerReturnTypes.CARDS
    • ExplainerReturnTypes.IMAGES
    • ExplainerReturnTypes.PLOTS
  • ExplanationTypes
    • ExplanationTypes.CLASSIFICATION
    • ExplanationTypes.REGRESSION
  • InstanceSelectionMethod
    • InstanceSelectionMethod.MANUAL
    • InstanceSelectionMethod.SMART
  • InstanceSet
    • InstanceSet.CERTAIN_HIT
    • InstanceSet.CERTAIN_MISS
    • InstanceSet.UNCERTAIN_HIT
    • InstanceSet.UNCERTAIN_MISS
  • NLPExplanationMethod
    • NLPExplanationMethod.LIME
    • NLPExplanationMethod.SHAP