Preset Configurations

This module contains preset configurations for baseline architectures and datasets.

Models

Pytorch Models

sleepless.configs.models_and_models_parameters.chambon2018_baseline.chambon2018	Chambon2018.
sleepless.configs.models_and_models_parameters.chambon2018_baseline.chambon2018_noscheduler	Chambon2018.
sleepless.configs.models_and_models_parameters.chambon2018_modified.chambon_lstm.chambon_lstm	Hybrid sleep staging architecture composed of Chambon model and lstm layer parameters.
sleepless.configs.models_and_models_parameters.lstm_baseline.lstm	Baseline LSTM layer model.
sleepless.configs.models_and_models_parameters.blanco_baseline.blanco	Chambon2018.
sleepless.configs.models_and_models_parameters.chambon2018_modified.chambon_gru.chambon_gru	Hybrid sleep staging architecture composed of Chambon model and lstm layer parameters.
sleepless.configs.models_and_models_parameters.nine_layers_cnn_baseline.ninel_1d_cnn_ssc	Nine-layers-CNN.

Scikit-learn Models (with grid-search)

sleepless.configs.models_and_models_parameters.mne_baseline.randomforest	Config random forest grid-search.
sleepless.configs.models_and_models_parameters.chambon2018_baseline.randomforest	Config random forest grid-search.
sleepless.configs.models_and_models_parameters.chambon2018_baseline.randomforest_2eeg_eog	Config random forest grid-search.
sleepless.configs.models_and_models_parameters.chambon2018_baseline.randomforest_2eeg_emg	Config random forest grid-search.
sleepless.configs.models_and_models_parameters.chambon2018_baseline.randomforest_2eeg_eog_emg	Config random forest grid-search.
sleepless.configs.models_and_models_parameters.chambon2018_baseline.randomforest_eog	Config random forest grid-search.
sleepless.configs.models_and_models_parameters.chambon2018_baseline.randomforest_emg	Config random forest grid-search.
sleepless.configs.models_and_models_parameters.chambon2018_baseline.randomforest_fpzcz	Config random forest grid-search.
sleepless.configs.models_and_models_parameters.chambon2018_baseline.randomforest_pzoz	Config random forest grid-search.
sleepless.configs.models_and_models_parameters.mne_baseline.xgboost	Config xgboost grid-search.
sleepless.configs.models_and_models_parameters.chambon2018_baseline.xgboost_chambon	Config xgboost grid-search.
sleepless.configs.models_and_models_parameters.mne_baseline.gbc	Config gbc grid-search.

Datasets

Datasets include iterative accessors to raw data (Supported Datasets) including data pre-processing and augmentation, if applicable. Use these datasets for training and evaluating your models.

sleepless.configs.datasets.EDF.sc_filtered	Sleep-EDF (expanded) dataset for sleep analysis.
sleepless.configs.datasets.EDF.st_filtered	Sleep-EDF (expanded) dataset for sleep analysis.
sleepless.configs.datasets.EDF.sc_unfiltered	Sleep-EDF (expanded) dataset for sleep analysis.
sleepless.configs.datasets.EDF.st_unfiltered	Sleep-EDF (expanded) dataset for sleep analysis.
sleepless.configs.datasets.EDF.sc_filtered_crop_wake	Sleep-EDF (expanded) dataset for sleep analysis.
sleepless.configs.datasets.EDF.train_sc_filtered	Cross subset protocols:
sleepless.configs.datasets.EDF.train_st_filtered	Cross subset protocols:
sleepless.configs.datasets.EDF.train_st_sc_filtered	Cross subset protocols:
sleepless.configs.datasets.MASS.ss3_unfiltered_fpz_cz	Montreal Archive of Sleep Studies (MASS)
sleepless.configs.datasets.MASS.ss3_filtered_fpz_cz	Montreal Archive of Sleep Studies (MASS)
sleepless.configs.datasets.EDF_X_MASS.train_edf_sc	Cross dataset protocols:
sleepless.configs.datasets.EDF_X_MASS.train_edf_st	Cross dataset protocols:
sleepless.configs.datasets.EDF_X_MASS.train_edf_st_sc	Cross dataset protocols:
sleepless.configs.datasets.EDF_X_MASS.train_edf_sc_crop_wake	Cross dataset protocols:
sleepless.configs.datasets.EDF_X_MASS.train_mass_ss3	Cross dataset protocols:
sleepless.configs.datasets.mixed_all_db.mixed_all_db	Cross dataset protocols: