Index _ | B | C | D | F | G | I | L | M | N | P | R | S | T _ _modelmat() (GAMCR.dataset.datagam.DataGAM method) B build_custom_matrix() (in module GAMCR.utils) C compute_smoothing_penalty_matrix() (in module GAMCR.utils) compute_spline_basis() (GAMCR.dataset.dataset.Dataset method), [1] compute_statistics() (GAMCR.resultsanalysis.compute_statistics.ComputeStatistics method), [1] ComputeStatistics (class in GAMCR.resultsanalysis.compute_statistics) D DataGAM (class in GAMCR.dataset.datagam) Dataset (class in GAMCR.dataset.dataset) F features (GAMCR.dataset.dataset.Dataset attribute) (GAMCR.model.GAMCR.GAMCR attribute) fractional_year_to_datetime() (in module GAMCR.utils) G GAMCR module GAMCR (class in GAMCR.model.GAMCR) GAMCR.dataset module GAMCR.dataset.datagam module GAMCR.dataset.dataset module GAMCR.model module GAMCR.model.GAMCR module GAMCR.resultsanalysis module GAMCR.resultsanalysis.compute_statistics module GAMCR.resultsanalysis.visualization_tools module GAMCR.trainer module GAMCR.trainer.trainer module GAMCR.utils module get_coeffs() (GAMCR.dataset.datagam.DataGAM method), [1] get_colors() (in module GAMCR.resultsanalysis.visualization_tools) get_design() (GAMCR.dataset.dataset.Dataset method), [1] get_fluxes() (GAMCR.dataset.dataset.Dataset method), [1] get_GAMdesign() (GAMCR.dataset.dataset.Dataset method), [1] get_params() (GAMCR.dataset.datagam.DataGAM method), [1] I init_gam_from_design() (GAMCR.dataset.datagam.DataGAM method), [1] init_gam_from_knots() (GAMCR.dataset.datagam.DataGAM method), [1] L L (GAMCR.dataset.datagam.DataGAM attribute) (GAMCR.trainer.trainer.Trainer attribute) lam (GAMCR.dataset.datagam.DataGAM attribute) (GAMCR.dataset.dataset.Dataset attribute) (GAMCR.model.GAMCR.GAMCR attribute) (GAMCR.trainer.trainer.Trainer attribute) load_data() (GAMCR.dataset.dataset.Dataset method), [1] load_model() (GAMCR.dataset.dataset.Dataset method), [1] M max_lag (GAMCR.dataset.dataset.Dataset attribute) (GAMCR.model.GAMCR.GAMCR attribute) module GAMCR GAMCR.dataset GAMCR.dataset.datagam GAMCR.dataset.dataset GAMCR.model GAMCR.model.GAMCR GAMCR.resultsanalysis GAMCR.resultsanalysis.compute_statistics GAMCR.resultsanalysis.visualization_tools GAMCR.trainer GAMCR.trainer.trainer GAMCR.utils N n_splines (GAMCR.dataset.datagam.DataGAM attribute) (GAMCR.dataset.dataset.Dataset attribute) (GAMCR.model.GAMCR.GAMCR attribute) (GAMCR.trainer.trainer.Trainer attribute) nse() (in module GAMCR.utils) P predict_streamflow() (GAMCR.model.GAMCR.GAMCR method), [1] predict_transfer_function() (GAMCR.model.GAMCR.GAMCR method), [1] R rainbow_colors() (in module GAMCR.resultsanalysis.visualization_tools) ReLU() (in module GAMCR.trainer.trainer) S save_batch() (GAMCR.dataset.dataset.Dataset method), [1] save_batch_common_GAM() (GAMCR.dataset.dataset.Dataset method), [1] save_model_parameters() (GAMCR.dataset.dataset.Dataset method), [1] show_tf_global() (in module GAMCR.resultsanalysis.visualization_tools) show_tf_p_or_q() (in module GAMCR.resultsanalysis.visualization_tools) show_tf_p_q() (in module GAMCR.resultsanalysis.visualization_tools) show_vs_precip_intensity() (in module GAMCR.resultsanalysis.visualization_tools) T train() (GAMCR.model.GAMCR.GAMCR method), [1] Trainer (class in GAMCR.trainer.trainer) trainer() (GAMCR.trainer.trainer.Trainer method), [1]
