Index

A

add_hazards_to_docs() (in module mika.kd.trend_analysis)

align_labels_with_tokens() (in module mika.kd.NER)

B

bert_topic() (mika.kd.Topic_Model_plus method) bootstrap_metric() (in module mika.kd.trend_analysis)

build_confusion_matrix() (in module mika.kd.NER) build_fmea() (mika.kd.FMEA method) build_word_clouds() (in module mika.kd.trend_analysis)

C

calc_bert_coherence() (mika.kd.Topic_Model_plus method) calc_CI() (in module mika.kd.trend_analysis) calc_classification_metrics() (in module mika.kd.trend_analysis) calc_frequency() (mika.kd.FMEA method) calc_rate() (in module mika.kd.trend_analysis) calc_risk() (mika.kd.FMEA method) calc_severity() (mika.kd.FMEA method) calc_severity_per_hazard() (in module mika.kd.trend_analysis) check_doc_to_sentence_split() (in module mika.kd.NER) check_for_hazard_words() (in module mika.kd.trend_analysis)

check_for_negation_words() (in module mika.kd.trend_analysis) chi_squared_tests() (in module mika.kd.trend_analysis) clean_annots_from_str() (in module mika.kd.NER) clean_doccano_annots() (in module mika.kd.NER) clean_text_tags() (in module mika.kd.NER) coherence_scores() (mika.kd.Topic_Model_plus method) compute_classification_report() (in module mika.kd.NER) compute_metrics() (in module mika.kd.NER) corr_sig() (in module mika.kd.trend_analysis) create_correlation_matrix() (in module mika.kd.trend_analysis)

D

Data (class in mika.utils)

display_doc() (mika.kd.FMEA method)

E

evaluate_preds() (mika.kd.FMEA method)

examine_hazard_extraction_mismatches() (in module mika.kd.trend_analysis)

F

FMEA (class in mika.kd)

G

get_bert_coherence() (mika.kd.Topic_Model_plus method) get_bert_topic_diversity() (mika.kd.Topic_Model_plus method) get_bert_topics_from_probs() (mika.kd.Topic_Model_plus method) get_cleaned_label() (in module mika.kd.NER) get_doc_text() (in module mika.kd.trend_analysis) get_doc_time() (in module mika.kd.trend_analysis) get_entities_per_doc() (mika.kd.FMEA method) get_hazard_df() (in module mika.kd.trend_analysis) get_hazard_doc_ids() (in module mika.kd.trend_analysis) get_hazard_info() (in module mika.kd.trend_analysis) get_hazard_topics() (in module mika.kd.trend_analysis)

get_hazard_topics_per_doc() (in module mika.kd.trend_analysis) get_hazard_words() (in module mika.kd.trend_analysis) get_likelihood_FAA() (in module mika.kd.trend_analysis) get_likelihood_USFS() (in module mika.kd.trend_analysis) get_negation_words() (in module mika.kd.trend_analysis) get_results_info() (in module mika.kd.trend_analysis) get_sentence_embeddings() (mika.ir.search method) get_topics_per_doc() (in module mika.kd.trend_analysis) get_word_frequencies() (in module mika.kd.trend_analysis) get_year_per_doc() (mika.kd.FMEA method) group_docs_manual() (mika.kd.FMEA method) group_docs_with_meta() (mika.kd.FMEA method)

H

hazard_accuracy() (in module mika.kd.trend_analysis) hdp() (mika.kd.Topic_Model_plus method) hlda() (mika.kd.Topic_Model_plus method)

hlda_display() (mika.kd.Topic_Model_plus method) hlda_extract_models() (mika.kd.Topic_Model_plus method) hlda_visual() (mika.kd.Topic_Model_plus method)

I

identify_bad_annotations() (in module mika.kd.NER)

identify_docs_per_fmea_row() (in module mika.kd.trend_analysis) identify_docs_per_hazard() (in module mika.kd.trend_analysis)

L

label_hlda_topics() (mika.kd.Topic_Model_plus method) label_lda_topics() (mika.kd.Topic_Model_plus method) lda() (mika.kd.Topic_Model_plus method) lda_extract_models() (mika.kd.Topic_Model_plus method) lda_visual() (mika.kd.Topic_Model_plus method)

load() (mika.utils.Data method) load_bert_model() (mika.kd.Topic_Model_plus method) load_data() (mika.kd.FMEA method) load_model() (mika.kd.FMEA method) load_sentence_embeddings() (mika.ir.search method)

M

make_pie_chart() (in module mika.kd.trend_analysis) mika.kd.NER module mika.kd.trend_analysis module

minmax_scale() (in module mika.kd.trend_analysis) module mika.kd.NER mika.kd.trend_analysis multiple_reg_feature_importance() (in module mika.kd.trend_analysis)

P

plot_eval_metrics() (in module mika.kd.NER) plot_eval_results() (in module mika.kd.NER) plot_frequency_time_series() (in module mika.kd.trend_analysis) plot_loss() (in module mika.kd.NER) plot_metric_averages() (in module mika.kd.trend_analysis) plot_metric_time_series() (in module mika.kd.trend_analysis) plot_predictors() (in module mika.kd.trend_analysis)

plot_risk_matrix() (in module mika.kd.trend_analysis) plot_USFS_risk_matrix() (in module mika.kd.trend_analysis) post_process_fmea() (mika.kd.FMEA method) predict() (mika.kd.FMEA method) prepare_data() (mika.utils.Data method) preprocess_data() (mika.utils.Data method) proposed_topics() (in module mika.kd.trend_analysis)

R

read_doccano_annots() (in module mika.kd.NER) read_trainer_logs() (in module mika.kd.NER) record_hazard_doc_info() (in module mika.kd.trend_analysis) reduce_bert_topics() (mika.kd.Topic_Model_plus method)

regression_feature_importance() (in module mika.kd.trend_analysis) remove_outliers() (in module mika.kd.trend_analysis) reshape_correlation_matrix() (in module mika.kd.trend_analysis) run_search() (mika.ir.search method)

S

sample_for_accuracy() (in module mika.kd.trend_analysis) save() (mika.utils.Data method) save_bert_coherence() (mika.kd.Topic_Model_plus method) save_bert_document_topic_distribution() (mika.kd.Topic_Model_plus method) save_bert_model() (mika.kd.Topic_Model_plus method) save_bert_results() (mika.kd.Topic_Model_plus method) save_bert_taxonomy() (mika.kd.Topic_Model_plus method) save_bert_topic_diversity() (mika.kd.Topic_Model_plus method) save_bert_topics() (mika.kd.Topic_Model_plus method) save_bert_topics_from_probs() (mika.kd.Topic_Model_plus method) save_bert_vis() (mika.kd.Topic_Model_plus method) save_hlda_coherence() (mika.kd.Topic_Model_plus method) save_hlda_document_topic_distribution() (mika.kd.Topic_Model_plus method) save_hlda_level_n_taxonomy() (mika.kd.Topic_Model_plus method)

save_hlda_models() (mika.kd.Topic_Model_plus method) save_hlda_results() (mika.kd.Topic_Model_plus method) save_hlda_taxonomy() (mika.kd.Topic_Model_plus method) save_hlda_topics() (mika.kd.Topic_Model_plus method) save_lda_coherence() (mika.kd.Topic_Model_plus method) save_lda_document_topic_distribution() (mika.kd.Topic_Model_plus method) save_lda_models() (mika.kd.Topic_Model_plus method) save_lda_results() (mika.kd.Topic_Model_plus method) save_lda_taxonomy() (mika.kd.Topic_Model_plus method) save_lda_topics() (mika.kd.Topic_Model_plus method) save_mixed_taxonomy() (mika.kd.Topic_Model_plus method) search (class in mika.ir) sentence_tokenization() (mika.utils.Data method) set_up_docs_per_hazard_vars() (in module mika.kd.trend_analysis) split_docs_to_sentences() (in module mika.kd.NER)

T

tokenize() (in module mika.kd.NER)

tokenize_and_align_labels() (in module mika.kd.NER) Topic_Model_plus (class in mika.kd)