Index _ | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | R | S | T | U | V | W | X _ __call__() (src.cleaning.Cleaning method) (src.evaluation.Evaluation method) (src.plots.Plotter method) (src.preprocessing.ContextPreprocessor method) (src.wic.contextual_embedder.LayerAggregator method) (src.wic.contextual_embedder.SubwordAggregator method) __download() (src.dataset.Dataset method) __download_ckpt() (src.wic.DeepMistake method) (src.wic.deepmistake.DeepMistake method) __download_from_git() (src.dataset.Dataset method) __download_zip() (src.dataset.Dataset method) __enter__() (src.wic.contextual_embedder.ContextualEmbedder method) (src.wic.ContextualEmbedder method) (src.wic.DeepMistake method) (src.wic.deepmistake.DeepMistake method) __exit__() (src.wic.contextual_embedder.ContextualEmbedder method) (src.wic.ContextualEmbedder method) (src.wic.DeepMistake method) (src.wic.deepmistake.DeepMistake method) __hash__() (src.use.Use method) __lt__() (src.use.Use method) __metadata__ (src.wic.deepmistake.Cache attribute) __unzip() (src.dataset.Dataset method) __unzip_ckpt() (src.wic.DeepMistake method) (src.wic.deepmistake.DeepMistake method) _agreements (src.dataset.Dataset attribute) _alpha (src.plots.Plotter attribute) _annotated_pairs_df (src.lemma.Lemma attribute) _augmented_annotated_pairs (src.lemma.Lemma attribute) _augmented_predefined_use_pairs_df (src.lemma.Lemma attribute) _boot_generator() (src.plots.Plotter method) _cache (src.wic.contextual_embedder.EmbeddingCache attribute) (src.wic.model.WICModel attribute) (src.wic.WICModel attribute) _cache_path (src.wic.model.WICModel attribute) (src.wic.WICModel attribute) _check_nan_weights_exits() (in module src.utils.utils) _clusters (src.dataset.Dataset attribute) _clusters_df (src.lemma.Lemma attribute) _device (src.wic.contextual_embedder.ContextualEmbedder attribute) (src.wic.ContextualEmbedder attribute) _embeddings (src.wic.contextual_embedder.ContextualEmbedder attribute) (src.wic.ContextualEmbedder attribute) _ids() (src.wic.contextual_embedder.EmbeddingCache method) _index (src.wic.contextual_embedder.EmbeddingCache attribute) _index_dir (src.wic.contextual_embedder.EmbeddingCache attribute) _index_path (src.wic.contextual_embedder.EmbeddingCache attribute) _initial_alpha (src.plots.Plotter attribute) _judgments (src.dataset.Dataset attribute) _lemmas (src.dataset.Dataset attribute) _min_alpha_from() (src.plots.Plotter method) _min_n_boots (src.plots.Plotter attribute) _min_n_boots_from() (src.plots.Plotter method) _minimize() (in module src.wsi.cluster_wsbm) _model (src.wic.contextual_embedder.ContextualEmbedder attribute) (src.wic.ContextualEmbedder attribute) _n_boots (src.plots.Plotter attribute) _negative_weights_exist() (in module src.utils.utils) _nxgraph_to_graphtoolgraph() (in module src.wsi.cluster_wsbm) _one_boot() (src.plots.Plotter method) _predefined_use_pairs_df (src.lemma.Lemma attribute) _similarities (src.wic.deepmistake.Cache attribute) _similarities_filtered (src.wic.deepmistake.Cache attribute) _split_augmented_uses() (src.lemma.Lemma method) _split_compare_uses() (src.lemma.Lemma method) _split_earlier_uses() (src.lemma.Lemma method) _split_later_uses() (src.lemma.Lemma method) _stats_groupings (src.dataset.Dataset attribute) _targets_with_new_uses (src.wic.contextual_embedder.EmbeddingCache attribute) _tokenizer (src.wic.contextual_embedder.ContextualEmbedder attribute) (src.wic.ContextualEmbedder attribute) _uses (src.dataset.Dataset attribute) _uses_df (src.lemma.Lemma attribute) A absolute_path (src.dataset.Dataset property) add_use() (src.wic.contextual_embedder.EmbeddingCache method) add_use_pair() (src.wic.deepmistake.Cache method) aggregate() (src.wic.contextual_embedder.ContextualEmbedder method) (src.wic.ContextualEmbedder method) annotated_pairs_df (src.lemma.Lemma property) annotated_pairs_schema (src.lemma.Lemma property) APD (class in src.lscd) (class in src.lscd.apd) as_df() (src.wic.contextual_embedder.ContextualEmbedder method) (src.wic.ContextualEmbedder method) (src.wic.DeepMistake method) (src.wic.deepmistake.DeepMistake method) (src.wic.model.WICModel method) (src.wic.WICModel method) augmented_annotated_pairs_df (src.lemma.Lemma property) augmented_predefined_use_pairs_df (src.lemma.Lemma property) AVERAGE (src.wic.contextual_embedder.LayerAggregator attribute) (src.wic.contextual_embedder.SubwordAggregator attribute) B binary_change_labels (src.dataset.Dataset property) binary_wic_labels (src.dataset.Dataset property) BinaryModel (class in src.lscd.model) BinaryModel.Config (class in src.lscd.model) BinaryThresholdModel (class in src.lscd) (class in src.lscd.model) BinaryThresholdModel.Config (class in src.lscd) (class in src.lscd.model) C Cache (class in src.wic.deepmistake) cache (src.wic.DeepMistake attribute) (src.wic.deepmistake.DeepMistake attribute) ckpt (src.wic.contextual_embedder.ContextualEmbedder attribute) (src.wic.ContextualEmbedder attribute) (src.wic.DeepMistake attribute) (src.wic.deepmistake.DeepMistake attribute) ckpt_dir (src.wic.DeepMistake property) (src.wic.deepmistake.DeepMistake property) clean() (src.wic.contextual_embedder.EmbeddingCache method) Cleaning (class in src.cleaning) cleaning (src.dataset.Dataset attribute) CleaningParam (class in src.cleaning) clone_repo() (src.wic.DeepMistake method) (src.wic.deepmistake.DeepMistake method) ClusterChineseWhispers (class in src.wsi) (class in src.wsi.chinese_whispers) ClusterCorrelation (class in src.wsi) (class in src.wsi.correlation_clustering) ClusterJSD (class in src.lscd) (class in src.lscd.cluster_jsd) clusters_df (src.dataset.Dataset property) clusters_schema (src.dataset.Dataset property) ClusterSpectral (class in src.wsi) (class in src.wsi.spectral) ClusterWSBM (class in src.wsi.cluster_wsbm) combine_inputs() (src.evaluation.Evaluation static method) (src.plots.Plotter static method) compare_labels (src.dataset.Dataset property) compute_kernel_bias() (src.lscd.Permutation static method) (src.lscd.permutation.Permutation static method) CONCAT (src.wic.contextual_embedder.LayerAggregator attribute) context (src.use.Use attribute) ContextPreprocessor (class in src.preprocessing) ContextualEmbedder (class in src.wic) (class in src.wic.contextual_embedder) Cos (class in src.lscd) (class in src.lscd.cos) D data_dir (src.dataset.Dataset property) Dataset (class in src.dataset) dataset (src.dataset.UsePairCache attribute) DatasetMetadata (class in src.evaluation) DeepMistake (class in src.wic) (class in src.wic.deepmistake) default (src.preprocessing.Normalize attribute) default() (src.wic.model.NumpyEncoder method) default_alpha (src.plots.Plotter attribute) dev (src.dataset.StandardSplit attribute) dev1 (src.dataset.StandardSplit attribute) dev2 (src.dataset.StandardSplit attribute) device (src.wic.contextual_embedder.ContextualEmbedder property) (src.wic.ContextualEmbedder property) DiaSense (class in src.lscd.apd) distribution (src.wsi.cluster_wsbm.ClusterWSBM attribute) dot_product() (in module src.wic.distance) E embedding_cache (src.wic.contextual_embedder.ContextualEmbedder attribute) (src.wic.ContextualEmbedder attribute) EmbeddingCache (class in src.wic.contextual_embedder) encode() (src.wic.contextual_embedder.ContextualEmbedder method) (src.wic.ContextualEmbedder method) encode_all() (src.wic.contextual_embedder.ContextualEmbedder method) (src.wic.ContextualEmbedder method) encode_only (src.wic.contextual_embedder.ContextualEmbedder attribute) (src.wic.ContextualEmbedder attribute) end1 (src.wic.deepmistake.Input attribute) end2 (src.wic.deepmistake.Input attribute) euclidean_dist() (src.lscd.Permutation static method) (src.lscd.permutation.Permutation static method) euclidean_similarity() (in module src.wrappers) Evaluation (class in src.evaluation) EvaluationTask (in module src.evaluation) exclude_annotators (src.dataset.Dataset attribute) Experiment (class in src.callback) F fields_from_series() (src.preprocessing.ContextPreprocessor method) (src.preprocessing.Lemmatize method) (src.preprocessing.Normalize method) (src.preprocessing.Raw method) (src.preprocessing.Tokenize method) (src.preprocessing.Toklem method) filter_lemmas() (src.dataset.Dataset method) FIRST (src.wic.contextual_embedder.SubwordAggregator attribute) from_series() (src.use.Use class method) full (src.dataset.StandardSplit attribute) G get_config() (src.callback.Experiment method) get_labels() (src.dataset.Dataset method) get_n_rows() (src.lscd.Permutation method) (src.lscd.permutation.Permutation method) get_n_targets() (src.callback.Experiment method) get_score() (src.callback.Experiment method) get_split() (src.dataset.Dataset method) get_standard_split() (src.dataset.Dataset method) get_stats_groupings_schema() (src.dataset.Dataset method) get_uses() (src.lemma.Lemma method) gpu (src.wic.contextual_embedder.ContextualEmbedder attribute) (src.wic.ContextualEmbedder attribute) graded_change_labels (src.dataset.Dataset property) graded_model (src.lscd.BinaryThresholdModel attribute) (src.lscd.model.BinaryThresholdModel attribute) GradedLSCDModel (class in src.lscd) (class in src.lscd.model) GradedLSCDModel.Config (class in src.lscd) (class in src.lscd.model) Group (in module src.lemma) group (src.dataset.UsePairCache attribute) (src.lemma.UsePairOptions attribute) grouping (src.use.Use attribute) grouping_to_useid() (src.lemma.Lemma method) groupings (src.dataset.Dataset attribute) (src.lemma.Lemma attribute) grp (src.wic.deepmistake.Input attribute) H has_new_uses() (src.wic.contextual_embedder.EmbeddingCache method) I id (src.wic.deepmistake.Input attribute) (src.wic.deepmistake.Score attribute) identifier (src.use.Use attribute) indices (src.use.Use attribute) initial (src.wsi.ClusterCorrelation attribute) (src.wsi.correlation_clustering.ClusterCorrelation attribute) Input (class in src.wic.deepmistake) instantiate() (in module src.utils.runner) is_int() (in module src.utils.utils) is_list() (in module src.utils.utils) is_number() (in module src.utils.utils) is_str_set() (in module src.utils.utils) J json_encoders (src.lscd.BinaryThresholdModel.Config attribute) (src.lscd.GradedLSCDModel.Config attribute) (src.lscd.model.BinaryModel.Config attribute) (src.lscd.model.BinaryThresholdModel.Config attribute) (src.lscd.model.GradedLSCDModel.Config attribute) (src.wic.model.WICModel.Config attribute) (src.wic.WICModel.Config attribute) judgments_df (src.dataset.Dataset property) judgments_schema (src.dataset.Dataset property) K K (in module src.evaluation) (in module src.plots) k (src.lscd.Permutation attribute) (src.lscd.permutation.Permutation attribute) keep (src.cleaning.CleaningParam attribute) L l1() (in module src.wrappers) l2() (in module src.wrappers) LAST (src.wic.contextual_embedder.SubwordAggregator attribute) layer_aggregator (src.wic.contextual_embedder.ContextualEmbedder attribute) (src.wic.ContextualEmbedder attribute) LayerAggregator (class in src.wic.contextual_embedder) layers (src.wic.contextual_embedder.ContextualEmbedder attribute) (src.wic.ContextualEmbedder attribute) Lemma (class in src.lemma) lemma (src.wic.deepmistake.Input attribute) lemmas (src.dataset.Dataset property) Lemmatize (class in src.preprocessing) load() (src.wic.contextual_embedder.EmbeddingCache method) log (in module src.preprocessing) (in module src.wic.contextual_embedder) (in module src.wic.deepmistake) LogJobReturnCallback (class in src.callback) M make_freq_dists() (src.wsi.model.WSIModel method) (src.wsi.WSIModel method) match (src.cleaning.Cleaning attribute) MAX (src.wic.contextual_embedder.SubwordAggregator attribute) max_alpha (src.plots.Plotter attribute) max_attempts (src.wsi.ClusterCorrelation attribute) (src.wsi.correlation_clustering.ClusterCorrelation attribute) max_iters (src.wsi.ClusterCorrelation attribute) (src.wsi.correlation_clustering.ClusterCorrelation attribute) max_senses (src.wsi.ClusterCorrelation attribute) (src.wsi.correlation_clustering.ClusterCorrelation attribute) mean_std() (in module src.threshold) metadata (src.wic.contextual_embedder.EmbeddingCache attribute) (src.wic.deepmistake.Cache attribute) metric (src.evaluation.Evaluation attribute) (src.plots.Plotter attribute) metric_boot_histogram() (src.plots.Plotter method) MIN (src.wic.contextual_embedder.SubwordAggregator attribute) min_boots_in_one_tail (src.plots.Plotter attribute) Model (class in src.wic.deepmistake) (in module src.utils.runner) model (src.wic.contextual_embedder.ContextualEmbedder property) (src.wic.ContextualEmbedder property) module src src.callback src.cleaning src.dataset src.evaluation src.lemma src.lscd src.lscd.apd src.lscd.cluster_jsd src.lscd.cos src.lscd.model src.lscd.permutation src.plots src.preprocessing src.scaler src.threshold src.use src.utils src.utils.runner src.utils.utils src.wic src.wic.contextual_embedder src.wic.deepmistake src.wic.distance src.wic.model src.wrappers src.wsi src.wsi.chinese_whispers src.wsi.cluster_wsbm src.wsi.correlation_clustering src.wsi.model src.wsi.spectral MULTIRUN (in module src.utils.runner) MULTIRUN_PATH (src.callback.ResultCollector attribute) MultirunExperiment (class in src.callback) N n (src.lemma.RandomSampling attribute) n_clusters (src.wsi.ClusterSpectral attribute) (src.wsi.spectral.ClusterSpectral attribute) n_iters (src.wsi.chinese_whispers.ClusterChineseWhispers attribute) (src.wsi.ClusterChineseWhispers attribute) n_perms (src.lscd.Permutation attribute) (src.lscd.permutation.Permutation attribute) name (src.dataset.Dataset attribute) (src.evaluation.DatasetMetadata attribute) (src.lemma.Lemma property) (src.wic.deepmistake.Model attribute) none() (in module src.utils.utils) normalization (src.wic.contextual_embedder.ContextualEmbedder attribute) (src.wic.ContextualEmbedder attribute) Normalize (class in src.preprocessing) normalize_cluster() (src.wsi.model.WSIModel static method) (src.wsi.WSIModel static method) normalize_spelling() (src.preprocessing.ContextPreprocessor method) NumpyEncoder (class in src.wic.model) O on_job_end() (src.callback.LogJobReturnCallback method) on_multirun_end() (src.callback.ResultCollector method) on_run_end() (src.callback.ResultCollector method) OUTPUTS (in module src.utils.runner) OUTPUTS_PATH (src.callback.ResultCollector attribute) P parse_timestamp() (src.callback.Experiment static method) path (src.dataset.Dataset attribute) (src.lemma.Lemma attribute) (src.wic.DeepMistake property) (src.wic.deepmistake.Cache property) (src.wic.deepmistake.DeepMistake property) path() (in module src.utils) (in module src.utils.utils) pearsonr() (in module src.wrappers) Permutation (class in src.lscd) (class in src.lscd.permutation) permute_indices() (src.lscd.Permutation method) (src.lscd.permutation.Permutation method) persist() (src.wic.contextual_embedder.EmbeddingCache method) (src.wic.deepmistake.Cache method) Plotter (class in src.plots) plotter (src.evaluation.Evaluation attribute) pos (src.use.Use attribute) (src.wic.deepmistake.Input attribute) predefined_use_pairs_df (src.lemma.Lemma property) predict() (src.lscd.APD method) (src.lscd.apd.APD method) (src.lscd.apd.DiaSense method) (src.lscd.BinaryThresholdModel method) (src.lscd.cluster_jsd.ClusterJSD method) (src.lscd.ClusterJSD method) (src.lscd.Cos method) (src.lscd.cos.Cos method) (src.lscd.GradedLSCDModel method) (src.lscd.model.BinaryThresholdModel method) (src.lscd.model.GradedLSCDModel method) (src.lscd.Permutation method) (src.lscd.permutation.Permutation method) (src.wic.contextual_embedder.ContextualEmbedder method) (src.wic.ContextualEmbedder method) (src.wic.DeepMistake method) (src.wic.deepmistake.DeepMistake method) (src.wic.model.WICModel method) (src.wic.WICModel method) (src.wsi.chinese_whispers.ClusterChineseWhispers method) (src.wsi.cluster_wsbm.ClusterWSBM method) (src.wsi.ClusterChineseWhispers method) (src.wsi.ClusterCorrelation method) (src.wsi.ClusterSpectral method) (src.wsi.correlation_clustering.ClusterCorrelation method) (src.wsi.model.WSIModel method) (src.wsi.spectral.ClusterSpectral method) (src.wsi.WSIModel method) predict_all() (src.lscd.APD method) (src.lscd.apd.APD method) (src.lscd.apd.DiaSense method) (src.lscd.Cos method) (src.lscd.cos.Cos method) (src.lscd.GradedLSCDModel method) (src.lscd.model.GradedLSCDModel method) (src.lscd.Permutation method) (src.lscd.permutation.Permutation method) (src.wic.model.WICModel method) (src.wic.WICModel method) predictions (src.wic.model.WICModel attribute) (src.wic.WICModel attribute) preprocess() (src.preprocessing.ContextPreprocessor method) (src.preprocessing.Lemmatize method) (src.preprocessing.Normalize method) (src.preprocessing.Raw method) (src.preprocessing.Tokenize method) (src.preprocessing.Toklem method) preprocess_inputs() (src.plots.Plotter method) preprocessing (src.dataset.Dataset attribute) (src.lemma.Lemma attribute) process() (src.callback.Experiment method) R RandomSampling (class in src.lemma) Raw (class in src.preprocessing) relative_path (src.dataset.Dataset property) replace (src.lemma.RandomSampling attribute) repo_dir (src.wic.DeepMistake property) (src.wic.deepmistake.DeepMistake property) ResultCollector (class in src.callback) retrieve() (src.wic.contextual_embedder.EmbeddingCache method) (src.wic.deepmistake.Cache method) rewrite_config() (src.dataset.Dataset method) run() (in module src.utils.runner) RunExperiment (class in src.callback) S Sample (in module src.lemma) sample (src.dataset.UsePairCache attribute) (src.lemma.UsePairOptions attribute) scaler (src.wic.model.WICModel attribute) (src.wic.WICModel attribute) Score (class in src.wic.deepmistake) score (src.wic.deepmistake.Score attribute) sentence1 (src.wic.deepmistake.Input attribute) sentence2 (src.wic.deepmistake.Input attribute) set_preprocessing() (src.dataset.Dataset method) ShouldNotHappen similarity_matrix() (src.wsi.model.WSIModel method) (src.wsi.WSIModel method) similarity_metric (src.wic.contextual_embedder.ContextualEmbedder attribute) (src.wic.ContextualEmbedder attribute) spearmanr() (in module src.wrappers) spelling_normalization (src.preprocessing.ContextPreprocessor attribute) split (src.dataset.Dataset attribute) (src.dataset.UsePairCache attribute) split_flag (src.wsi.ClusterCorrelation attribute) (src.wsi.correlation_clustering.ClusterCorrelation attribute) split_uses() (src.lemma.Lemma method) src module src.callback module src.cleaning module src.dataset module src.evaluation module src.lemma module src.lscd module src.lscd.apd module src.lscd.cluster_jsd module src.lscd.cos module src.lscd.model module src.lscd.permutation module src.plots module src.preprocessing module src.scaler module src.threshold module src.use module src.utils module src.utils.runner module src.utils.utils module src.wic module src.wic.contextual_embedder module src.wic.deepmistake module src.wic.distance module src.wic.model module src.wrappers module src.wsi module src.wsi.chinese_whispers module src.wsi.cluster_wsbm module src.wsi.correlation_clustering module src.wsi.model module src.wsi.spectral module standard_split (src.dataset.Dataset attribute) StandardSplit (class in src.dataset) start1 (src.wic.deepmistake.Input attribute) start2 (src.wic.deepmistake.Input attribute) start_char_index() (src.preprocessing.ContextPreprocessor static method) stats (src.cleaning.Cleaning attribute) stats_agreement_df (src.dataset.Dataset property) stats_groupings_df (src.dataset.Dataset property) subword_aggregator (src.wic.contextual_embedder.ContextualEmbedder attribute) (src.wic.ContextualEmbedder attribute) SubwordAggregator (class in src.wic.contextual_embedder) SUM (src.wic.contextual_embedder.LayerAggregator attribute) (src.wic.contextual_embedder.SubwordAggregator attribute) T T (in module src.wic.contextual_embedder) target (src.use.Use attribute) TargetName (in module src.wic.contextual_embedder) targets() (src.wic.contextual_embedder.EmbeddingCache method) task (src.evaluation.Evaluation attribute) test (src.dataset.StandardSplit attribute) test_on (src.dataset.Dataset attribute) threshold (src.cleaning.CleaningParam attribute) threshold_fn (src.lscd.BinaryThresholdModel attribute) (src.lscd.model.BinaryThresholdModel attribute) timestamp (src.callback.Experiment property) (src.callback.MultirunExperiment property) (src.callback.RunExperiment property) to_data_format() (in module src.wic.deepmistake) Tokenize (class in src.preprocessing) tokenize() (src.wic.contextual_embedder.ContextualEmbedder method) (src.wic.ContextualEmbedder method) tokenizer (src.wic.contextual_embedder.ContextualEmbedder property) (src.wic.ContextualEmbedder property) Toklem (class in src.preprocessing) transform_and_normalize() (src.lscd.Permutation static method) (src.lscd.permutation.Permutation static method) truncation_indices() (src.wic.contextual_embedder.ContextualEmbedder method) (src.wic.ContextualEmbedder method) truncation_tokens_before_target (src.wic.contextual_embedder.ContextualEmbedder attribute) (src.wic.ContextualEmbedder attribute) type (src.dataset.Dataset attribute) U url (src.dataset.Dataset attribute) (src.wic.deepmistake.Model attribute) Use (class in src.use) use_pair_group() (in module src.wic.deepmistake) use_pair_options (src.lscd.APD attribute) (src.lscd.apd.APD attribute) use_pairs() (src.dataset.Dataset method) (src.lemma.Lemma method) UseID (in module src.use) useid_to_grouping() (src.lemma.Lemma method) UsePairCache (class in src.dataset) UsePairOptions (class in src.lemma) uses_df (src.dataset.Dataset property) (src.lemma.Lemma property) uses_schema (src.lemma.Lemma property) V V (in module src.evaluation) (in module src.plots) validate_alphas() (src.plots.Plotter method) version (src.evaluation.DatasetMetadata attribute) W whiten (src.lscd.Permutation attribute) (src.lscd.permutation.Permutation attribute) wic (src.lscd.APD attribute) (src.lscd.apd.APD attribute) (src.lscd.apd.DiaSense attribute) (src.lscd.Cos attribute) (src.lscd.cos.Cos attribute) (src.lscd.Permutation attribute) (src.lscd.permutation.Permutation attribute) (src.wsi.model.WSIModel attribute) (src.wsi.WSIModel attribute) wic_labels (src.dataset.Dataset property) wic_use_pairs (src.dataset.Dataset attribute) WICModel (class in src.wic) (class in src.wic.model) WICModel.Config (class in src.wic) (class in src.wic.model) write_results() (src.callback.ResultCollector method) wsi (src.lscd.cluster_jsd.ClusterJSD attribute) (src.lscd.ClusterJSD attribute) wsi_labels (src.dataset.Dataset property) WSIModel (class in src.wsi) (class in src.wsi.model) X xor() (in module src.utils.utils)