Index

A

AdditiveDecoder (class in arcana.models.decoders.additive_decoder) AdditiveEncoder (class in arcana.models.encoders.additive_encoder) align_and_truncate_samples() (in module arcana.utils.utils) all_preparation() (arcana.procedures.predicting.PredictProcedure method) AnalysisPlotUtils (class in arcana.plots.analysis_plot_utils) apply_correct_exogenous() (arcana.prediction.quantile_prediction.QuantilePredictor method) arcana module arcana.logger module arcana.logger.logger module arcana.losses module arcana.losses.loss module arcana.losses.loss_trace module arcana.models module arcana.models.decoders module arcana.models.decoders.additive_decoder module arcana.models.decoders.base_decoder module arcana.models.decoders.multihead_decoder module arcana.models.encoders module arcana.models.encoders.additive_encoder module arcana.models.encoders.base_encoder module arcana.models.encoders.multihead_encoder module arcana.models.sequence_to_sequence module arcana.models.sequence_to_sequence.seq2seq_factory module arcana.models.sequence_to_sequence.sequence_to_sequence module arcana.plots module

arcana.plots.analysis_plot_utils module arcana.plots.plot_utils module arcana.plots.plots module arcana.prediction module arcana.prediction.quantile_prediction module arcana.procedures module arcana.procedures.config_handler module arcana.procedures.finetuning module arcana.procedures.predicting module arcana.procedures.training module arcana.procedures.tuning module arcana.processing module arcana.processing.data_processing module arcana.regularizations module arcana.regularizations.optimizer_scheduler module arcana.regularizations.stopping_criteria module arcana.regularizations.teacher_forcing module arcana.training module arcana.training.train_model module arcana.utils module arcana.utils.utils module Attention (class in arcana.models.decoders.additive_decoder) attention_type (arcana.procedures.config_handler.ProcedureConfig attribute)

B

BaseDecoder (class in arcana.models.decoders.base_decoder)

BaseEncoder (class in arcana.models.encoders.base_encoder)

C

calculate_batch_loss_train() (arcana.losses.loss_trace.LossTrace method) calculate_batch_loss_validation() (arcana.losses.loss_trace.LossTrace method) calculate_epoch_loss() (arcana.losses.loss_trace.LossTrace method) calculate_metrics() (arcana.prediction.quantile_prediction.QuantilePredictor method) calculate_overall_combined_loss() (arcana.training.train_model.Seq2SeqTrainer method) calculate_overall_loss() (arcana.training.train_model.Seq2SeqTrainer method) CombinedHPLoss (class in arcana.losses.loss) CombinedLPLoss (class in arcana.losses.loss)

compute_loss() (arcana.training.train_model.Seq2SeqTrainer method) ConfigHandler (class in arcana.procedures.config_handler) count_parameters() (arcana.models.sequence_to_sequence.seq2seq_factory.Seq2SeqFactory method) (arcana.training.train_model.Seq2SeqTrainer method) create_additive_model() (arcana.models.sequence_to_sequence.seq2seq_factory.Seq2SeqFactory method) create_dir() (in module arcana.utils.utils) create_loss() (arcana.losses.loss.LossFactory static method) create_multihead_model() (arcana.models.sequence_to_sequence.seq2seq_factory.Seq2SeqFactory method)

D

data_headers (arcana.procedures.config_handler.DataConfig attribute) data_name (arcana.procedures.config_handler.GeneralConfig attribute) data_splits() (arcana.procedures.training.TrainProcedure method) (arcana.processing.data_processing.DataPreparation method)

DataConfig (class in arcana.procedures.config_handler) DataPreparation (class in arcana.processing.data_processing)

E

early_stopping_check() (arcana.training.train_model.Seq2SeqTrainer method)

EarlyStopping (class in arcana.regularizations.stopping_criteria)

F

FineTuning (class in arcana.procedures.finetuning) forward() (arcana.losses.loss.CombinedHPLoss method) (arcana.losses.loss.CombinedLPLoss method) (arcana.losses.loss.LogCoshLoss method) (arcana.losses.loss.PinballLoss method) (arcana.losses.loss.QuantileLoss method) (arcana.models.decoders.additive_decoder.AdditiveDecoder method) (arcana.models.decoders.additive_decoder.Attention method) (arcana.models.decoders.base_decoder.BaseDecoder method) (arcana.models.decoders.multihead_decoder.MultiheadDecoder method) (arcana.models.encoders.additive_encoder.AdditiveEncoder method) (arcana.models.encoders.base_encoder.BaseEncoder method) (arcana.models.encoders.multihead_encoder.MultiheadEncoder method) (arcana.models.sequence_to_sequence.sequence_to_sequence.Seq2Seq method)

G

GeneralConfig (class in arcana.procedures.config_handler) get_data_config() (arcana.procedures.config_handler.ConfigHandler method) get_data_for_model() (arcana.processing.data_processing.DataPreparation method) get_general_config() (arcana.procedures.config_handler.ConfigHandler method) get_logger() (in module arcana.logger.logger) get_max_available_scaled_cycle() (arcana.processing.data_processing.DataPreparation method)

get_model_config() (arcana.procedures.config_handler.ConfigHandler method) get_pretrained_model() (arcana.procedures.predicting.PredictProcedure method) get_procedure_config() (arcana.procedures.config_handler.ConfigHandler method) get_ratio() (arcana.regularizations.teacher_forcing.TeacherForcingScheduler method) get_scheduler() (arcana.regularizations.optimizer_scheduler.SchedulerFactory method) get_test_data() (arcana.procedures.predicting.PredictProcedure method)

H

handle_tensor() (in module arcana.utils.utils)

HuberLoss (class in arcana.losses.loss)

I

initialize_training() (arcana.training.train_model.Seq2SeqTrainer method) initialize_weights() (in module arcana.models.decoders.base_decoder)

input_data_folder (arcana.procedures.config_handler.GeneralConfig attribute) is_numpy() (in module arcana.losses.loss) is_tensor() (in module arcana.losses.loss)

L

learning_rate_type (arcana.procedures.config_handler.ProcedureConfig attribute) load_model() (arcana.procedures.finetuning.FineTuning method) loader_initialization() (arcana.procedures.training.TrainProcedure method)

LogCoshLoss (class in arcana.losses.loss) LossFactory (class in arcana.losses.loss) LossTrace (class in arcana.losses.loss_trace)

M

maximum_available_cycles (arcana.procedures.config_handler.DataConfig attribute) metrics_helper() (in module arcana.prediction.quantile_prediction) metrics_preparation() (arcana.prediction.quantile_prediction.QuantilePredictor method) model_parameter_initialization() (arcana.procedures.training.TrainProcedure method) ModelConfig (class in arcana.procedures.config_handler) module arcana arcana.logger arcana.logger.logger arcana.losses arcana.losses.loss arcana.losses.loss_trace arcana.models arcana.models.decoders arcana.models.decoders.additive_decoder arcana.models.decoders.base_decoder arcana.models.decoders.multihead_decoder arcana.models.encoders arcana.models.encoders.additive_encoder arcana.models.encoders.base_encoder arcana.models.encoders.multihead_encoder arcana.models.sequence_to_sequence arcana.models.sequence_to_sequence.seq2seq_factory arcana.models.sequence_to_sequence.sequence_to_sequence arcana.plots arcana.plots.analysis_plot_utils arcana.plots.plot_utils arcana.plots.plots arcana.prediction arcana.prediction.quantile_prediction arcana.procedures arcana.procedures.config_handler arcana.procedures.finetuning arcana.procedures.predicting arcana.procedures.training arcana.procedures.tuning arcana.processing arcana.processing.data_processing arcana.regularizations arcana.regularizations.optimizer_scheduler arcana.regularizations.stopping_criteria arcana.regularizations.teacher_forcing arcana.training arcana.training.train_model arcana.utils arcana.utils.utils

MSELoss (class in arcana.losses.loss) MultiheadDecoder (class in arcana.models.decoders.multihead_decoder) MultiheadEncoder (class in arcana.models.encoders.multihead_encoder)

N

naive_training (arcana.procedures.config_handler.ProcedureConfig attribute)

number_of_samples (arcana.procedures.config_handler.DataConfig attribute) number_of_trials (arcana.procedures.config_handler.ProcedureConfig attribute)

O

optuna_tuning (arcana.procedures.config_handler.ProcedureConfig attribute)

P

pad_array_to_length() (in module arcana.utils.utils) pad_the_splits() (arcana.processing.data_processing.DataPreparation method) path_to_config (arcana.procedures.config_handler.DataConfig attribute) (arcana.procedures.config_handler.GeneralConfig attribute) (arcana.procedures.config_handler.ProcedureConfig attribute) pinball_loss_numpy() (arcana.losses.loss.PinballLoss method) PinballLoss (class in arcana.losses.loss) plot_additive_attention() (arcana.plots.analysis_plot_utils.AnalysisPlotUtils method) plot_all_multihead_attention() (arcana.plots.analysis_plot_utils.AnalysisPlotUtils method) plot_analysis() (arcana.prediction.quantile_prediction.QuantilePredictor method) plot_line() (arcana.plots.plots.Plots method) plot_model_learning_rate() (in module arcana.plots.plot_utils) plot_predictions() (arcana.prediction.quantile_prediction.QuantilePredictor method) plot_sample_prediction() (in module arcana.plots.plot_utils) plot_scatter() (arcana.plots.plots.Plots method) plot_sensitivity_analyis() (arcana.plots.analysis_plot_utils.AnalysisPlotUtils method) plot_train_val_loss() (in module arcana.plots.plot_utils)

plot_train_val_loss_individual() (in module arcana.plots.plot_utils) plot_training_params() (arcana.training.train_model.Seq2SeqTrainer method) Plots (class in arcana.plots.plots) predict_data_preparation() (arcana.prediction.quantile_prediction.QuantilePredictor method) predict_quantiles() (arcana.prediction.quantile_prediction.QuantilePredictor method) predicting (arcana.procedures.config_handler.ProcedureConfig attribute) predicting() (arcana.procedures.predicting.PredictProcedure method) predicting_all() (arcana.procedures.predicting.PredictProcedure method) PredictProcedure (class in arcana.procedures.predicting) preparation() (arcana.procedures.predicting.PredictProcedure method) prepare_data_for_model() (arcana.processing.data_processing.DataPreparation method) prepare_folder_structure() (in module arcana.utils.utils) prepare_optuna_folder_structure() (in module arcana.utils.utils) prepare_test_data_for_pretrained_model() (arcana.processing.data_processing.DataPreparation method) preprocess_data (arcana.procedures.config_handler.ProcedureConfig attribute) pretrained_model (arcana.procedures.config_handler.GeneralConfig attribute) print_weights() (arcana.models.sequence_to_sequence.seq2seq_factory.Seq2SeqFactory method) ProcedureConfig (class in arcana.procedures.config_handler)

Q

QuantileLoss (class in arcana.losses.loss)

QuantilePredictor (class in arcana.prediction.quantile_prediction)

R

read_tuning_conf() (arcana.procedures.config_handler.ModelConfig method) rename_trials() (arcana.procedures.tuning.TuneProcedure method)

reset_hidden_state() (arcana.models.encoders.base_encoder.BaseEncoder method) reset_temp_loss_trace() (arcana.losses.loss_trace.LossTrace method)

S

save_attention() (arcana.prediction.quantile_prediction.QuantilePredictor method) save_data_splits() (arcana.procedures.training.TrainProcedure method) save_metrics() (arcana.prediction.quantile_prediction.QuantilePredictor method) save_model_parameters() (arcana.procedures.training.TrainProcedure method) save_optuna_fig() (in module arcana.utils.utils) save_plots() (in module arcana.utils.utils) save_predictions() (arcana.prediction.quantile_prediction.QuantilePredictor method) save_sensitivity() (arcana.prediction.quantile_prediction.QuantilePredictor method) save_test_data() (in module arcana.utils.utils) save_training_results_and_plots() (arcana.training.train_model.Seq2SeqTrainer method) save_transformed_predictions() (arcana.prediction.quantile_prediction.QuantilePredictor method) save_tuning_params() (arcana.procedures.tuning.TuneProcedure method)

ScalarFormatterForceFormat (class in arcana.plots.analysis_plot_utils) scaler_model (arcana.procedures.config_handler.GeneralConfig attribute) SchedulerFactory (class in arcana.regularizations.optimizer_scheduler) Seq2Seq (class in arcana.models.sequence_to_sequence.sequence_to_sequence) Seq2SeqFactory (class in arcana.models.sequence_to_sequence.seq2seq_factory) Seq2SeqTrainer (class in arcana.training.train_model) set_device() (arcana.procedures.training.TrainProcedure method) set_labels() (arcana.plots.plots.Plots method) setup_applevel_logger() (in module arcana.logger.logger) standardize_data() (arcana.processing.data_processing.DataPreparation method) standardize_dataset() (in module arcana.utils.utils) step() (arcana.regularizations.stopping_criteria.EarlyStopping method)

T

TeacherForcingScheduler (class in arcana.regularizations.teacher_forcing) tensorized_and_pad() (arcana.processing.data_processing.DataPreparation method) test_id (arcana.procedures.config_handler.GeneralConfig attribute) test_sample (arcana.procedures.config_handler.DataConfig attribute) to_numpy() (in module arcana.losses.loss) to_tensor() (in module arcana.losses.loss) train_element_initialization() (arcana.procedures.training.TrainProcedure method) train_epoch() (arcana.training.train_model.Seq2SeqTrainer method)

train_model() (arcana.training.train_model.Seq2SeqTrainer method) train_ratio (arcana.procedures.config_handler.DataConfig attribute) training() (arcana.procedures.finetuning.FineTuning method) (arcana.procedures.training.TrainProcedure method) TrainProcedure (class in arcana.procedures.training) transfer_learning (arcana.procedures.config_handler.ProcedureConfig attribute) transform_predictions_to_numpy() (arcana.prediction.quantile_prediction.QuantilePredictor method) TuneProcedure (class in arcana.procedures.tuning) tuning() (arcana.procedures.tuning.TuneProcedure method)

U

unfreeze_decoder() (arcana.procedures.finetuning.FineTuning method) unfreeze_fc_and_attention() (arcana.procedures.finetuning.FineTuning method)

unfreeze_fully_connected() (arcana.procedures.finetuning.FineTuning method) update_training_params() (arcana.training.train_model.Seq2SeqTrainer method)

V

val_test_ratio (arcana.procedures.config_handler.DataConfig attribute)

validation_epoch() (arcana.training.train_model.Seq2SeqTrainer method)