Index

B

block() (mlguess.torch.models.DNN method)

brier_multi() (in module mlguess.classifier_uq) brier_skill_score_multiclass() (in module mlguess.classifier_uq)

C

calc_uncertainty() (mlguess.torch.models.CategoricalDNN method) calculate_skill_score() (in module mlguess.regression_metrics) (in module mlguess.regression_uq) calibration() (in module mlguess.regression_uq) calibration_curve() (in module mlguess.regression_uq) CategoricalDNN (class in mlguess.torch.models) check_mse_efficiency_alpha() (in module mlguess.torch.regression_losses) check_mse_efficiency_nu() (in module mlguess.torch.regression_losses)

classifier_attribution() (in module mlguess.classifier_uq) classifier_discard_fraction() (in module mlguess.classifier_uq) classifier_skill_scores() (in module mlguess.classifier_uq) compute_cov() (in module mlguess.plotting) compute_coverage() (in module mlguess.regression_uq) compute_results() (in module mlguess.regression_uq) compute_skill_score() (in module mlguess.regression_uq) conus_plot() (in module mlguess.plotting) coverage_figures() (in module mlguess.plotting)

D

discard_fraction() (in module mlguess.regression_uq)

DNN (class in mlguess.torch.models)

E

edl_digamma_loss() (in module mlguess.torch.class_losses) edl_log_loss() (in module mlguess.torch.class_losses) edl_loss() (in module mlguess.torch.class_losses) edl_mse_loss() (in module mlguess.torch.class_losses) EDLDigammaLoss (class in mlguess.torch.class_losses) EDLLoss (class in mlguess.torch.class_losses)

enable_dropout() (in module mlguess.torch.mc_dropout) evidence() (mlguess.torch.layers.LinearNormalGamma method) EvidenceRegularizer (class in mlguess.torch.regression_losses) EvidentialMarginalLikelihood (class in mlguess.torch.regression_losses) EvidentialRegressionLoss (class in mlguess.torch.regression_losses) exp_evidence() (in module mlguess.torch.class_losses)

F

forward() (mlguess.torch.class_losses.EDLDigammaLoss method) (mlguess.torch.class_losses.EDLLoss method) (mlguess.torch.layers.LinearNormalGamma method) (mlguess.torch.models.DNN method) (mlguess.torch.regression_losses.EvidenceRegularizer method) (mlguess.torch.regression_losses.EvidentialMarginalLikelihood method) (mlguess.torch.regression_losses.LipschitzMSELoss method)

from_config() (mlguess.torch.models.DNN class method)

G

get_device() (in module mlguess.torch.class_losses) (in module mlguess.torch.models)

get_mse_coef() (in module mlguess.torch.regression_losses)

I

init_weights() (in module mlguess.torch.models)

K

kl_divergence() (in module mlguess.torch.class_losses)

L

launch_distributed_jobs() (in module mlguess.pbs) launch_pbs_jobs() (in module mlguess.pbs) linear (mlguess.torch.layers.LinearNormalGamma attribute) LinearNormalGamma (class in mlguess.torch.layers) LipschitzMSELoss (class in mlguess.torch.regression_losses)

load_preprocessing() (in module mlguess.preprocessing) load_preprocessor() (in module mlguess.preprocessing) load_splitter() (in module mlguess.splitting) load_weights() (mlguess.torch.models.DNN method) loglikelihood_loss() (in module mlguess.torch.class_losses)

M

mlguess module mlguess.classifier_uq module mlguess.keras module mlguess.keras.deprecated module mlguess.pbs module mlguess.pit module mlguess.plotting module mlguess.preprocessing module mlguess.regression_metrics module mlguess.regression_uq module mlguess.splitting module mlguess.tests module mlguess.tests.test_environment module mlguess.tests.test_pit module mlguess.torch module mlguess.torch.class_losses module

mlguess.torch.layers module mlguess.torch.mc_dropout module mlguess.torch.models module mlguess.torch.regression_losses module modified_mse() (in module mlguess.torch.regression_losses) module mlguess mlguess.classifier_uq mlguess.keras mlguess.keras.deprecated mlguess.pbs mlguess.pit mlguess.plotting mlguess.preprocessing mlguess.regression_metrics mlguess.regression_uq mlguess.splitting mlguess.tests mlguess.tests.test_environment mlguess.tests.test_pit mlguess.torch mlguess.torch.class_losses mlguess.torch.layers mlguess.torch.mc_dropout mlguess.torch.models mlguess.torch.regression_losses monte_carlo_dropout() (in module mlguess.torch.mc_dropout) mse_loss() (in module mlguess.torch.class_losses)

N

normal_inverse_gamma_nll() (mlguess.torch.regression_losses.EvidentialRegressionLoss method)

normal_inverse_gamma_reg() (mlguess.torch.regression_losses.EvidentialRegressionLoss method)

P

pit_deviation() (in module mlguess.pit) pit_deviation_skill_score() (in module mlguess.pit) pit_deviation_worst() (in module mlguess.pit) pit_figure_ensemble() (in module mlguess.regression_uq) pit_figure_gaussian() (in module mlguess.regression_uq) pit_gaussian_ensemble() (in module mlguess.pit) pit_histogram() (in module mlguess.pit) pit_histogram_values() (in module mlguess.pit) plot_confusion_matrix() (in module mlguess.plotting) plot_skill_score() (in module mlguess.regression_uq)

plot_uncertainties() (in module mlguess.classifier_uq) (in module mlguess.regression_uq) predict() (mlguess.torch.models.CategoricalDNN method) (mlguess.torch.models.DNN method) predict_dropout() (mlguess.torch.models.CategoricalDNN method) (mlguess.torch.models.DNN method) predict_uncertainty() (mlguess.torch.models.CategoricalDNN method) (mlguess.torch.models.DNN method) probability_integral_transform_ensemble() (in module mlguess.pit) probability_integral_transform_gaussian() (in module mlguess.pit)

R

regression_attributes() (in module mlguess.regression_uq) regression_metrics() (in module mlguess.regression_metrics)

relu_evidence() (in module mlguess.torch.class_losses) rmse_crps_skill_scores() (in module mlguess.regression_metrics) (in module mlguess.regression_uq)

S

seed_everything() (in module mlguess.torch.models)

softplus_evidence() (in module mlguess.torch.class_losses) sort_arr() (in module mlguess.classifier_uq)

T

test_pit_dev_ensemble() (in module mlguess.tests.test_pit)

test_pit_dev_gaussian() (in module mlguess.tests.test_pit) test_python_version() (in module mlguess.tests.test_environment)

U

uq_results() (in module mlguess.classifier_uq)