Index

_

__init__() (emotion_clf_pipeline.data.DataPreparation method), [1] (emotion_clf_pipeline.data.DatasetLoader method), [1] (emotion_clf_pipeline.data.EmotionDataset method), [1] (emotion_clf_pipeline.model.CustomPredictor method), [1] (emotion_clf_pipeline.model.DEBERTAClassifier method), [1] (emotion_clf_pipeline.model.EmotionPredictor method), [1] (emotion_clf_pipeline.model.ModelLoader method), [1] (emotion_clf_pipeline.predict.AzureEndpointPredictor method), [1] (emotion_clf_pipeline.stt.SpeechToTextTranscriber method) (emotion_clf_pipeline.stt.WhisperTranscriber method) (emotion_clf_pipeline.train.AzureMLLogger method), [1] (emotion_clf_pipeline.train.AzureMLManager method), [1] (emotion_clf_pipeline.train.CustomTrainer method), [1] (emotion_clf_pipeline.transcript.Transcript method)

A

add_endpoint_cleanup_args() (in module emotion_clf_pipeline.cli) add_endpoint_deploy_args() (in module emotion_clf_pipeline.cli) add_endpoint_details_args() (in module emotion_clf_pipeline.cli) add_endpoint_test_args() (in module emotion_clf_pipeline.cli) add_pipeline_args() (in module emotion_clf_pipeline.cli) add_predict_args() (in module emotion_clf_pipeline.cli) add_preprocess_args() (in module emotion_clf_pipeline.cli)

add_schedule_create_args() (in module emotion_clf_pipeline.cli) add_schedule_pipeline_args() (in module emotion_clf_pipeline.cli) add_train_args() (in module emotion_clf_pipeline.cli) add_upload_model_args() (in module emotion_clf_pipeline.cli) AzureEndpointPredictor (class in emotion_clf_pipeline.predict), [1] AzureMLLogger (class in emotion_clf_pipeline.train), [1] AzureMLManager (class in emotion_clf_pipeline.train), [1]

C

calculate_metrics() (emotion_clf_pipeline.train.CustomTrainer static method), [1] check_cuda_status() (in module emotion_clf_pipeline.stt) cmd_data() (in module emotion_clf_pipeline.cli) cmd_endpoint() (in module emotion_clf_pipeline.cli) cmd_endpoint_cleanup() (in module emotion_clf_pipeline.cli) cmd_endpoint_deploy() (in module emotion_clf_pipeline.cli) cmd_endpoint_details() (in module emotion_clf_pipeline.cli) cmd_endpoint_test() (in module emotion_clf_pipeline.cli) cmd_pipeline() (in module emotion_clf_pipeline.cli) cmd_predict() (in module emotion_clf_pipeline.cli) cmd_preprocess() (in module emotion_clf_pipeline.cli) cmd_schedule_create() (in module emotion_clf_pipeline.cli) cmd_schedule_delete() (in module emotion_clf_pipeline.cli) cmd_schedule_details() (in module emotion_clf_pipeline.cli) cmd_schedule_disable() (in module emotion_clf_pipeline.cli)

cmd_schedule_enable() (in module emotion_clf_pipeline.cli) cmd_schedule_list() (in module emotion_clf_pipeline.cli) cmd_schedule_setup_defaults() (in module emotion_clf_pipeline.cli) cmd_status() (in module emotion_clf_pipeline.cli) cmd_train() (in module emotion_clf_pipeline.cli) cmd_upload_model() (in module emotion_clf_pipeline.cli) complete_run() (emotion_clf_pipeline.train.AzureMLLogger method), [1] convert_azure_result_to_api_format() (in module emotion_clf_pipeline.api) create_backup() (emotion_clf_pipeline.train.AzureMLManager method), [1] create_baseline_stats_from_training_data() (in module emotion_clf_pipeline.api) create_evaluation_plots() (emotion_clf_pipeline.train.AzureMLLogger method), [1] create_feedback_csv() (in module emotion_clf_pipeline.api) create_predictor() (emotion_clf_pipeline.model.ModelLoader method), [1] CustomPredictor (class in emotion_clf_pipeline.model), [1] CustomTrainer (class in emotion_clf_pipeline.train), [1]

D

DataPreparation (class in emotion_clf_pipeline.data), [1] DatasetLoader (class in emotion_clf_pipeline.data), [1] DEBERTAClassifier (class in emotion_clf_pipeline.model), [1]

decode_and_postprocess() (emotion_clf_pipeline.predict.AzureEndpointPredictor method), [1] display_prediction_summary() (in module emotion_clf_pipeline.cli) download_models() (emotion_clf_pipeline.train.AzureMLManager method), [1] download_youtube_audio() (emotion_clf_pipeline.transcript.Transcript method)

E

emotion (emotion_clf_pipeline.api.FeedbackItem attribute) (emotion_clf_pipeline.api.TranscriptItem attribute) emotion_clf_pipeline module, [1] emotion_clf_pipeline.api module emotion_clf_pipeline.cli module emotion_clf_pipeline.data module, [1] emotion_clf_pipeline.model module, [1] emotion_clf_pipeline.predict module, [1] emotion_clf_pipeline.stt module emotion_clf_pipeline.train module, [1]

emotion_clf_pipeline.transcript module emotion_mapping (emotion_clf_pipeline.data.DatasetLoader attribute), [1] EmotionDataset (class in emotion_clf_pipeline.data), [1] EmotionPredictor (class in emotion_clf_pipeline.model), [1] end_logging() (emotion_clf_pipeline.train.AzureMLLogger method), [1] end_time (emotion_clf_pipeline.api.FeedbackItem attribute) (emotion_clf_pipeline.api.TranscriptItem attribute) ensure_best_baseline() (emotion_clf_pipeline.model.EmotionPredictor method), [1] ensure_best_baseline_model() (emotion_clf_pipeline.model.EmotionPredictor method), [1] (emotion_clf_pipeline.model.ModelLoader method), [1] evaluate() (emotion_clf_pipeline.train.CustomTrainer method), [1] evaluate_final_model() (emotion_clf_pipeline.train.CustomTrainer method), [1] extract_audio_transcript() (in module emotion_clf_pipeline.predict), [1] extract_sentences() (emotion_clf_pipeline.stt.WhisperTranscriber method) extract_transcript() (in module emotion_clf_pipeline.predict), [1]

F

feedbackData (emotion_clf_pipeline.api.FeedbackRequest attribute) FeedbackItem (class in emotion_clf_pipeline.api) FeedbackRequest (class in emotion_clf_pipeline.api) FeedbackResponse (class in emotion_clf_pipeline.api)

filename (emotion_clf_pipeline.api.FeedbackResponse attribute) format_time_seconds() (in module emotion_clf_pipeline.api) format_timestamp() (emotion_clf_pipeline.stt.WhisperTranscriber static method) forward() (emotion_clf_pipeline.model.DEBERTAClassifier method), [1]

G

get_azure_config() (in module emotion_clf_pipeline.cli) (in module emotion_clf_pipeline.predict), [1] get_live_monitoring_summary() (in module emotion_clf_pipeline.api) get_metrics() (in module emotion_clf_pipeline.api) get_monitoring_file() (in module emotion_clf_pipeline.api)

get_monitoring_trends() (in module emotion_clf_pipeline.api) get_next_training_filename() (in module emotion_clf_pipeline.api) get_num_classes() (emotion_clf_pipeline.data.DataPreparation method), [1] get_prediction() (emotion_clf_pipeline.predict.AzureEndpointPredictor method), [1] get_status_info() (emotion_clf_pipeline.train.AzureMLManager method), [1] get_video_title() (in module emotion_clf_pipeline.predict), [1]

H

handle_post_training_sync() (emotion_clf_pipeline.train.AzureMLManager method), [1] handle_prediction() (in module emotion_clf_pipeline.api)

handle_refresh() (in module emotion_clf_pipeline.api) health_check() (in module emotion_clf_pipeline.api)

I

intensity (emotion_clf_pipeline.api.FeedbackItem attribute) (emotion_clf_pipeline.api.TranscriptItem attribute)

L

load_baseline_model() (emotion_clf_pipeline.model.ModelLoader method), [1] load_dynamic_model() (emotion_clf_pipeline.model.ModelLoader method), [1] load_model() (emotion_clf_pipeline.model.ModelLoader method), [1] load_test_data() (emotion_clf_pipeline.data.DatasetLoader method), [1] load_training_data() (emotion_clf_pipeline.data.DatasetLoader method), [1] load_training_metrics_to_monitoring() (in module emotion_clf_pipeline.api)

log_artifact() (emotion_clf_pipeline.train.AzureMLLogger method), [1] log_class_distributions() (in module emotion_clf_pipeline.data), [1] log_evaluation_artifacts() (emotion_clf_pipeline.train.AzureMLLogger method), [1] log_image() (emotion_clf_pipeline.train.AzureMLLogger method), [1] log_metric() (emotion_clf_pipeline.train.AzureMLLogger method), [1] log_param() (emotion_clf_pipeline.train.AzureMLLogger method), [1] log_table() (emotion_clf_pipeline.train.AzureMLLogger method), [1]

M

main() (in module emotion_clf_pipeline.cli) (in module emotion_clf_pipeline.data), [1] (in module emotion_clf_pipeline.train), [1] message (emotion_clf_pipeline.api.FeedbackResponse attribute) method (emotion_clf_pipeline.api.PredictionRequest attribute) ModelLoader (class in emotion_clf_pipeline.model), [1] module emotion_clf_pipeline, [1] emotion_clf_pipeline.api emotion_clf_pipeline.cli emotion_clf_pipeline.data, [1] emotion_clf_pipeline.model, [1] emotion_clf_pipeline.predict, [1] emotion_clf_pipeline.stt emotion_clf_pipeline.train, [1] emotion_clf_pipeline.transcript

P

parse_args() (in module emotion_clf_pipeline.data), [1] parse_arguments() (in module emotion_clf_pipeline.train), [1] plot_distributions() (emotion_clf_pipeline.data.DatasetLoader method), [1] plot_evaluation_results() (emotion_clf_pipeline.train.CustomTrainer method), [1] post_process() (emotion_clf_pipeline.model.CustomPredictor method), [1] predict() (emotion_clf_pipeline.model.CustomPredictor method), [1] (emotion_clf_pipeline.model.EmotionPredictor method), [1] (emotion_clf_pipeline.predict.AzureEndpointPredictor method), [1] predict_batch() (emotion_clf_pipeline.predict.AzureEndpointPredictor method), [1] predict_emotion() (in module emotion_clf_pipeline.predict), [1] predict_emotions_azure() (in module emotion_clf_pipeline.predict), [1] predict_emotions_local() (in module emotion_clf_pipeline.predict), [1]

PredictionRequest (class in emotion_clf_pipeline.api) PredictionResponse (class in emotion_clf_pipeline.api) prepare_data() (emotion_clf_pipeline.data.DataPreparation method), [1] print_metrics() (emotion_clf_pipeline.train.CustomTrainer static method), [1] print_status_report() (emotion_clf_pipeline.train.AzureMLManager method), [1] process() (emotion_clf_pipeline.stt.SpeechToTextTranscriber method) (emotion_clf_pipeline.stt.WhisperTranscriber method) (emotion_clf_pipeline.transcript.Transcript method) process_text_chunks() (in module emotion_clf_pipeline.predict), [1] process_youtube_url_and_predict() (in module emotion_clf_pipeline.predict), [1] promote_dynamic_to_baseline() (emotion_clf_pipeline.model.ModelLoader method), [1] (emotion_clf_pipeline.train.AzureMLManager method), [1] (emotion_clf_pipeline.train.CustomTrainer static method), [1]

R

read_root() (in module emotion_clf_pipeline.api) record_count (emotion_clf_pipeline.api.FeedbackResponse attribute) retry() (in module emotion_clf_pipeline.cli) run_pipeline_azure() (in module emotion_clf_pipeline.cli)

run_pipeline_local() (in module emotion_clf_pipeline.cli) run_preprocess_azure() (in module emotion_clf_pipeline.cli) run_preprocess_local() (in module emotion_clf_pipeline.cli) run_train_azure() (in module emotion_clf_pipeline.cli) run_train_local() (in module emotion_clf_pipeline.cli)

S

sanitize_filename() (in module emotion_clf_pipeline.stt) save_feedback() (in module emotion_clf_pipeline.api) save_feedback_to_azure() (in module emotion_clf_pipeline.api) save_transcript() (emotion_clf_pipeline.stt.SpeechToTextTranscriber method) (emotion_clf_pipeline.stt.WhisperTranscriber static method) save_youtube_audio() (in module emotion_clf_pipeline.stt) save_youtube_video() (in module emotion_clf_pipeline.stt) seconds_to_hms() (emotion_clf_pipeline.transcript.Transcript method) sentence (emotion_clf_pipeline.api.TranscriptItem attribute) setup_training() (emotion_clf_pipeline.train.CustomTrainer method), [1]

should_promote_to_baseline() (emotion_clf_pipeline.train.CustomTrainer method), [1] speech_to_text() (in module emotion_clf_pipeline.predict), [1] SpeechToTextTranscriber (class in emotion_clf_pipeline.stt) start_logging() (emotion_clf_pipeline.train.AzureMLLogger method), [1] start_time (emotion_clf_pipeline.api.FeedbackItem attribute) (emotion_clf_pipeline.api.TranscriptItem attribute) startup_event() (in module emotion_clf_pipeline.api) sub_emotion (emotion_clf_pipeline.api.FeedbackItem attribute) (emotion_clf_pipeline.api.TranscriptItem attribute) success (emotion_clf_pipeline.api.FeedbackResponse attribute) sync_on_startup() (emotion_clf_pipeline.train.AzureMLManager method), [1]

T

test_df (emotion_clf_pipeline.data.DatasetLoader attribute), [1] text (emotion_clf_pipeline.api.FeedbackItem attribute) time_str_to_seconds() (in module emotion_clf_pipeline.predict), [1] title (emotion_clf_pipeline.api.PredictionResponse attribute) train_and_evaluate() (emotion_clf_pipeline.train.CustomTrainer method), [1] train_df (emotion_clf_pipeline.data.DatasetLoader attribute), [1] train_epoch() (emotion_clf_pipeline.train.CustomTrainer method), [1]

transcribe_audio() (emotion_clf_pipeline.stt.SpeechToTextTranscriber method) (emotion_clf_pipeline.stt.WhisperTranscriber method) transcribe_audio_with_assemblyai() (emotion_clf_pipeline.transcript.Transcript method) transcribe_youtube_url() (in module emotion_clf_pipeline.predict), [1] Transcript (class in emotion_clf_pipeline.transcript) transcript (emotion_clf_pipeline.api.PredictionResponse attribute) TranscriptItem (class in emotion_clf_pipeline.api)

U

upload_dynamic_model() (emotion_clf_pipeline.train.AzureMLManager method), [1]

url (emotion_clf_pipeline.api.PredictionRequest attribute)

V

validate_operation() (emotion_clf_pipeline.train.AzureMLManager method), [1]

videoId (emotion_clf_pipeline.api.PredictionResponse attribute) videoTitle (emotion_clf_pipeline.api.FeedbackRequest attribute)

W

whisper_model() (emotion_clf_pipeline.transcript.Transcript method)

WhisperTranscriber (class in emotion_clf_pipeline.stt)