.. Copyright © 2023 Idiap Research Institute .. .. SPDX-License-Identifier: GPL-3.0-or-later .. _sleepless.config: Preset Configurations --------------------- This module contains preset configurations for baseline architectures and datasets. .. _sleepless.configs.models: Models ====== .. autosummary:: :toctree: api/configs/models :template: config.rst .. _sleepless.configs.models_and_models_parameters: Pytorch Models ============== .. autosummary:: :toctree: api/configs/models_and_models_parameters :template: config.rst sleepless.configs.models_and_models_parameters.chambon2018_baseline.chambon2018 sleepless.configs.models_and_models_parameters.chambon2018_baseline.chambon2018_noscheduler sleepless.configs.models_and_models_parameters.chambon2018_modified.chambon_lstm.chambon_lstm sleepless.configs.models_and_models_parameters.lstm_baseline.lstm sleepless.configs.models_and_models_parameters.blanco_baseline.blanco sleepless.configs.models_and_models_parameters.chambon2018_modified.chambon_gru.chambon_gru sleepless.configs.models_and_models_parameters.nine_layers_cnn_baseline.ninel_1d_cnn_ssc .. _sleepless.configs.scikit_learn_model: Scikit-learn Models (with grid-search) ====================================== .. autosummary:: :toctree: api/configs/grid_search :template: config.rst sleepless.configs.models_and_models_parameters.mne_baseline.randomforest sleepless.configs.models_and_models_parameters.chambon2018_baseline.randomforest sleepless.configs.models_and_models_parameters.chambon2018_baseline.randomforest_2eeg_eog sleepless.configs.models_and_models_parameters.chambon2018_baseline.randomforest_2eeg_emg sleepless.configs.models_and_models_parameters.chambon2018_baseline.randomforest_2eeg_eog_emg sleepless.configs.models_and_models_parameters.chambon2018_baseline.randomforest_eog sleepless.configs.models_and_models_parameters.chambon2018_baseline.randomforest_emg sleepless.configs.models_and_models_parameters.chambon2018_baseline.randomforest_fpzcz sleepless.configs.models_and_models_parameters.chambon2018_baseline.randomforest_pzoz sleepless.configs.models_and_models_parameters.mne_baseline.xgboost sleepless.configs.models_and_models_parameters.chambon2018_baseline.xgboost_chambon sleepless.configs.models_and_models_parameters.mne_baseline.gbc .. _sleepless.configs.datasets: Datasets ======== Datasets include iterative accessors to raw data (:ref:`sleepless.setup.datasets`) including data pre-processing and augmentation, if applicable. Use these datasets for training and evaluating your models. .. autosummary:: :toctree: api/configs/datasets :template: config.rst sleepless.configs.datasets.EDF.sc_filtered sleepless.configs.datasets.EDF.st_filtered sleepless.configs.datasets.EDF.sc_unfiltered sleepless.configs.datasets.EDF.st_unfiltered sleepless.configs.datasets.EDF.sc_filtered_crop_wake sleepless.configs.datasets.EDF.train_sc_filtered sleepless.configs.datasets.EDF.train_st_filtered sleepless.configs.datasets.EDF.train_st_sc_filtered sleepless.configs.datasets.MASS.ss3_unfiltered_fpz_cz sleepless.configs.datasets.MASS.ss3_filtered_fpz_cz sleepless.configs.datasets.EDF_X_MASS.train_edf_sc sleepless.configs.datasets.EDF_X_MASS.train_edf_st sleepless.configs.datasets.EDF_X_MASS.train_edf_st_sc sleepless.configs.datasets.EDF_X_MASS.train_edf_sc_crop_wake sleepless.configs.datasets.EDF_X_MASS.train_mass_ss3 sleepless.configs.datasets.mixed_all_db.mixed_all_db .. include:: links.rst