Index

_

__getitem__() (ise.data.dataclasses.EmulatorDataset method) (ise.data.dataclasses.PyTorchDataset method) (ise.data.dataclasses.TSDataset method)

__len__() (ise.data.dataclasses.EmulatorDataset method) (ise.data.dataclasses.PyTorchDataset method) (ise.data.dataclasses.TSDataset method) __to_tensor() (ise.data.dataclasses.EmulatorDataset method)

A

add_lag_variables() (in module ise.data.feature_engineer) (ise.data.feature_engineer.FeatureEngineer method) add_model_characteristics() (in module ise.data.feature_engineer) (ise.data.feature_engineer.FeatureEngineer method)

add_variable_to_nc() (in module ise.utils.functions) aleatoric() (ise.models.density_estimators.normalizing_flow.NormalizingFlow method)

B

backfill_outliers() (in module ise.data.feature_engineer) (ise.data.feature_engineer.FeatureEngineer method)

C

calculate_distribution_metrics() (in module ise.utils.functions) calculate_ece() (in module ise.evaluation.metrics) check_input() (in module ise.utils.functions) CheckpointSaver (class in ise.utils.training) combine_gris_forcings() (in module ise.data.process)

combine_testing_results() (in module ise.utils.functions) convert_and_subset_times() (in module ise.data.process) convert_forcings() (ise.data.process.DimensionalityReducer method) convert_projections() (ise.data.process.DimensionalityReducer method) create_distribution() (in module ise.utils.functions) crps() (in module ise.evaluation.metrics)

D

DatasetMerger (class in ise.data.process) DeepEnsemble (class in ise.models.predictors.deep_ensemble) device (ise.data.scaler.StandardScaler attribute)

DimensionalityReducer (class in ise.data.process) drop_outliers() (in module ise.data.feature_engineer) (ise.data.feature_engineer.FeatureEngineer method)

E

EarlyStoppingCheckpointer (class in ise.utils.training) EmulatorDataset (class in ise.data.dataclasses)

enable_dropout() (ise.models.variational_lstm_emulator.VariationalLSTMEmulator method) evaluate() (ise.models.scenario.ScenarioPredictor method) EvaluationPlotter (class in ise.evaluation.plots)

F

FeatureEngineer (class in ise.data.feature_engineer) fill_mrro_nans() (in module ise.data.feature_engineer) (ise.data.feature_engineer.FeatureEngineer method) fit() (ise.data.scaler.LogScaler method) (ise.data.scaler.RobustScaler method) (ise.data.scaler.StandardScaler method), [1] (ise.data.scaler.YeoJohnsonScaler method) (ise.models.density_estimators.normalizing_flow.NormalizingFlow method) (ise.models.ISEFlow.ISEFlow.ISEFlow method) (ise.models.predictors.deep_ensemble.DeepEnsemble method) (ise.models.predictors.lstm.LSTM method) (ise.models.scenario.ScenarioPredictor method)

format_GrIS_atmospheric_aogcm_name() (in module ise.data.process) forward() (ise.models.ISEFlow.ISEFlow.ISEFlow method) (ise.models.loss.GridCriterion method) (ise.models.loss.MSEDeviationLoss method) (ise.models.loss.WeightedGridLoss method) (ise.models.loss.WeightedMSELoss method) (ise.models.loss.WeightedMSELossWithSignPenalty method) (ise.models.loss.WeightedMSEPCALoss method) (ise.models.loss.WeightedPCALoss method) (ise.models.predictors.deep_ensemble.DeepEnsemble method) (ise.models.predictors.lstm.LSTM method) (ise.models.scenario.ScenarioPredictor method) (ise.models.variational_lstm_emulator.VariationalLSTMEmulator method)

G

generate_pca_models() (ise.data.process.DimensionalityReducer method) get_all_filepaths() (in module ise.utils.functions) get_data() (in module ise.utils.functions) get_latent() (ise.models.density_estimators.normalizing_flow.NormalizingFlow method) get_model_densities() (in module ise.data.process)

get_uncertainty_bands() (in module ise.utils.functions) get_X_y() (in module ise.utils.functions) get_xarray_data() (in module ise.data.process) GridCriterion (class in ise.models.loss) GridProcessor (class in ise.data.process) group_by_run() (in module ise.utils.functions)

I

interpolate_values() (in module ise.data.process) inverse_transform() (ise.data.scaler.LogScaler method) (ise.data.scaler.RobustScaler method) (ise.data.scaler.StandardScaler method), [1] (ise.data.scaler.YeoJohnsonScaler method) invert() (ise.data.process.DimensionalityReducer method) ise module, [1] ise.data module ise.data.dataclasses module ise.data.feature_engineer module ise.data.process module ise.data.scaler module ise.evaluation module ise.evaluation.metrics module ise.evaluation.plots module ise.models module ise.models.density_estimators module ise.models.density_estimators.normalizing_flow module ise.models.ISEFlow module

ise.models.ISEFlow.de module ise.models.ISEFlow.ISEFlow module ise.models.ISEFlow.nf module ise.models.loss module ise.models.predictors module ise.models.predictors.deep_ensemble module ise.models.predictors.lstm module ise.models.pretrained module ise.models.scenario module ise.models.variational_lstm_emulator module ise.utils module ise.utils.functions module ise.utils.training module ISEFlow (class in ise.models.ISEFlow.ISEFlow) ISEFlow_AIS (class in ise.models.ISEFlow.ISEFlow) ISEFlow_AIS_DE (class in ise.models.ISEFlow.de) ISEFlow_AIS_NF (class in ise.models.ISEFlow.nf) ISEFlow_GrIS (class in ise.models.ISEFlow.ISEFlow) ISEFlow_GrIS_DE (class in ise.models.ISEFlow.de) ISEFlow_GrIS_NF (class in ise.models.ISEFlow.nf)

J

js_divergence() (in module ise.evaluation.metrics)

K

kl_divergence() (in module ise.evaluation.metrics)

kolmogorov_smirnov() (in module ise.evaluation.metrics)

L

load() (ise.data.scaler.LogScaler static method) (ise.data.scaler.RobustScaler static method) (ise.data.scaler.StandardScaler method) (ise.data.scaler.StandardScaler static method) (ise.data.scaler.YeoJohnsonScaler static method) (ise.models.density_estimators.normalizing_flow.NormalizingFlow static method) (ise.models.ISEFlow.ISEFlow.ISEFlow static method) (ise.models.ISEFlow.ISEFlow.ISEFlow_AIS static method) (ise.models.ISEFlow.ISEFlow.ISEFlow_GrIS static method) (ise.models.predictors.deep_ensemble.DeepEnsemble class method) (ise.models.scenario.ScenarioPredictor method)

load_checkpoint() (ise.utils.training.CheckpointSaver method) load_ml_data() (in module ise.utils.functions) load_model() (in module ise.utils.functions) LogScaler (class in ise.data.scaler) LSTM (class in ise.models.predictors.lstm)

M

mape() (in module ise.evaluation.metrics) mean_ (ise.data.scaler.StandardScaler attribute) mean_absolute_error() (in module ise.evaluation.metrics) mean_squared_error() (in module ise.evaluation.metrics) mean_squared_error_sector() (in module ise.evaluation.metrics) merge_dataset() (ise.data.process.DatasetMerger method) merge_datasets() (in module ise.data.process) merge_sectors() (ise.data.process.DatasetMerger method) module ise, [1] ise.data ise.data.dataclasses ise.data.feature_engineer ise.data.process ise.data.scaler ise.evaluation ise.evaluation.metrics ise.evaluation.plots ise.models ise.models.density_estimators ise.models.density_estimators.normalizing_flow ise.models.ISEFlow ise.models.ISEFlow.de ise.models.ISEFlow.ISEFlow ise.models.ISEFlow.nf ise.models.loss ise.models.predictors ise.models.predictors.deep_ensemble ise.models.predictors.lstm ise.models.pretrained ise.models.scenario ise.models.variational_lstm_emulator ise.utils ise.utils.functions ise.utils.training

MSEDeviationLoss (class in ise.models.loss)

N

NormalizingFlow (class in ise.models.density_estimators.normalizing_flow)

P

plot_callibration() (in module ise.evaluation.plots) (ise.evaluation.plots.SectorPlotter method) plot_distributions() (in module ise.evaluation.plots) (ise.evaluation.plots.SectorPlotter method) plot_ensemble() (in module ise.evaluation.plots) (ise.evaluation.plots.SectorPlotter method) plot_ensemble_mean() (in module ise.evaluation.plots) (ise.evaluation.plots.SectorPlotter method) plot_histograms() (in module ise.evaluation.plots) (ise.evaluation.plots.SectorPlotter method) plot_test_series() (in module ise.evaluation.plots) (ise.evaluation.plots.SectorPlotter method) predict() (ise.models.ISEFlow.ISEFlow.ISEFlow method) (ise.models.ISEFlow.ISEFlow.ISEFlow_AIS method) (ise.models.predictors.deep_ensemble.DeepEnsemble method) (ise.models.predictors.lstm.LSTM method) (ise.models.scenario.ScenarioPredictor method) (ise.models.variational_lstm_emulator.VariationalLSTMEmulator method)

process() (ise.data.process.ProjectionProcessor method) (ise.models.ISEFlow.ISEFlow.ISEFlow_AIS method) process_AIS_atmospheric_sectors() (in module ise.data.process) process_AIS_oceanic_sectors() (in module ise.data.process) process_AIS_outputs() (in module ise.data.process) process_GrIS_atmospheric_sectors() (in module ise.data.process) process_GrIS_oceanic_sectors() (in module ise.data.process) process_GrIS_outputs() (in module ise.data.process) process_sectors() (in module ise.data.process) ProjectionProcessor (class in ise.data.process) PyTorchDataset (class in ise.data.dataclasses)

R

r2_score() (in module ise.evaluation.metrics)

relative_squared_error() (in module ise.evaluation.metrics) RobustScaler (class in ise.data.scaler)

S

sample() (ise.models.density_estimators.normalizing_flow.NormalizingFlow method) save() (ise.data.scaler.LogScaler method) (ise.data.scaler.RobustScaler method) (ise.data.scaler.StandardScaler method), [1] (ise.data.scaler.YeoJohnsonScaler method) (ise.models.density_estimators.normalizing_flow.NormalizingFlow method) (ise.models.ISEFlow.ISEFlow.ISEFlow method) (ise.models.predictors.deep_ensemble.DeepEnsemble method) save_checkpoint() (ise.utils.training.CheckpointSaver method) scale_ (ise.data.scaler.StandardScaler attribute) scale_data() (in module ise.data.feature_engineer) (ise.data.feature_engineer.FeatureEngineer method)

ScenarioDataset (class in ise.data.dataclasses) ScenarioPredictor (class in ise.models.scenario) sector_side_by_side() (ise.evaluation.plots.EvaluationPlotter method) SectorPlotter (class in ise.evaluation.plots) SectorProcessor (class in ise.data.process) sequence_length (ise.data.dataclasses.EmulatorDataset attribute) (ise.data.dataclasses.TSDataset attribute) spatial_side_by_side() (ise.evaluation.plots.EvaluationPlotter method) split_data() (ise.data.feature_engineer.FeatureEngineer method) split_training_data() (in module ise.data.feature_engineer) StandardScaler (class in ise.data.scaler) sum_by_sector() (in module ise.evaluation.metrics)

T

t_test() (in module ise.evaluation.metrics) to_tensor() (in module ise.utils.functions) total_variation_regularization() (ise.models.loss.GridCriterion method) (ise.models.loss.WeightedGridLoss method) transform() (ise.data.process.DimensionalityReducer method) (ise.data.scaler.LogScaler method) (ise.data.scaler.RobustScaler method) (ise.data.scaler.StandardScaler method), [1] (ise.data.scaler.YeoJohnsonScaler method)

TSDataset (class in ise.data.dataclasses)

U

UncertaintyBounds (class in ise.evaluation.plots) undummify() (in module ise.utils.functions)

unscale() (in module ise.utils.functions) unscale_column() (in module ise.utils.functions) unscale_data() (ise.data.feature_engineer.FeatureEngineer method)

V

VariationalLSTMEmulator (class in ise.models.variational_lstm_emulator)

W

weighted_pixelwise_mse() (ise.models.loss.WeightedGridLoss method) WeightedGridLoss (class in ise.models.loss) WeightedMSELoss (class in ise.models.loss)

WeightedMSELossWithSignPenalty (class in ise.models.loss) WeightedMSEPCALoss (class in ise.models.loss) WeightedPCALoss (class in ise.models.loss)

X

X (ise.data.dataclasses.EmulatorDataset attribute) (ise.data.dataclasses.TSDataset attribute)

Y

y (ise.data.dataclasses.EmulatorDataset attribute) (ise.data.dataclasses.TSDataset attribute)

YeoJohnsonScaler (class in ise.data.scaler)