Index

_

__call__() (ise.models.training.EarlyStoppingCheckpointer method) __getitem__() (ise.data.dataclasses.EmulatorDataset method) (ise.data.dataclasses.PyTorchDataset method) (ise.data.dataclasses.ScenarioDataset method) (ise.data.dataclasses.TSDataset method)

__len__() (ise.data.dataclasses.EmulatorDataset method) (ise.data.dataclasses.PyTorchDataset method) (ise.data.dataclasses.ScenarioDataset method) (ise.data.dataclasses.TSDataset method) _including_model_characteristics (ise.data.feature_engineer.FeatureEngineer attribute) _to_tensor() (ise.data.dataclasses.EmulatorDataset method)

A

add_lag_variables() (in module ise.data.feature_engineer) (ise.data.feature_engineer.FeatureEngineer method), [1] add_model_characteristics() (in module ise.data.feature_engineer) (ise.data.feature_engineer.FeatureEngineer method), [1] add_variable_to_nc() (in module ise.utils.functions) aggregate_depth() (ise.data.ForcingFile method) (ise.data.forcings.ForcingFile method) aleatoric() (ise.models.normalizing_flow.NormalizingFlow method) (ise.models.NormalizingFlow method) align_dims() (ise.data.GridFile method) (ise.data.grids.GridFile method)

AnomalyConverter (class in ise.data) (class in ise.data.anomaly) aSMB (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowGrISInputs attribute) assign_sectors() (ise.data.ForcingFile method) (ise.data.forcings.ForcingFile method) aST (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowGrISInputs attribute) average_over_sector() (ise.data.ForcingFile method) (ise.data.forcings.ForcingFile method)

B

backfill_outliers() (in module ise.data.feature_engineer) (ise.data.feature_engineer.FeatureEngineer method), [1] base_distribution (ise.models.normalizing_flow.NormalizingFlow attribute) (ise.models.NormalizingFlow attribute)

basin_runoff (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowGrISInputs attribute) bedrock_topography (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowGrISInputs attribute) best_loss (ise.models.training.CheckpointSaver attribute)

C

calculate_distribution_metrics() (in module ise.utils.functions) calculate_ece() (in module ise.evaluation) (in module ise.evaluation.metrics) check_input() (in module ise.utils.functions) check_type() (in module ise.utils.io) checkpoint_path (ise.models.training.CheckpointSaver attribute) CheckpointSaver (class in ise.models.training) climatology (ise.data.anomaly.AnomalyConverter attribute) (ise.data.anomaly.AnomalyConverter property) (ise.data.AnomalyConverter attribute) (ise.data.AnomalyConverter property) combine_gris_forcings() (in module ise.data.process) combine_testing_results() (in module ise.utils.functions) component_weights (ise.models.loss.WeightedPCALoss attribute) components (ise.models._experimental.PCA attribute) (ise.models._experimental.pca.PCA attribute)

compute_ais() (ise.data.anomaly.AnomalyConverter method) (ise.data.AnomalyConverter method) compute_gris() (ise.data.anomaly.AnomalyConverter method) (ise.data.AnomalyConverter method) convert_and_subset_times() (in module ise.data.utils) counter (ise.models.training.EarlyStoppingCheckpointer attribute) create_distribution() (in module ise.utils.functions) criterion (ise.models.LSTM attribute) (ise.models.lstm.LSTM attribute) (ise.models.normalizing_flow.NormalizingFlow attribute) (ise.models.NormalizingFlow attribute) crps() (in module ise.evaluation) (in module ise.evaluation.metrics) custom_weights (ise.models.loss.WeightedMSEPCALoss attribute)

D

data (ise.data.feature_engineer.FeatureEngineer attribute) (ise.data.ForcingFile attribute) (ise.data.forcings.ForcingFile attribute) (ise.data.GridFile attribute) (ise.data.grids.GridFile attribute) data_mean (ise.models.loss.WeightedMSELoss attribute) (ise.models.loss.WeightedMSELossWithSignPenalty attribute) (ise.models.loss.WeightedMSEPCALoss attribute) data_std (ise.models.loss.WeightedMSELoss attribute) (ise.models.loss.WeightedMSELossWithSignPenalty attribute) (ise.models.loss.WeightedMSEPCALoss attribute) DatasetMerger (class in ise.data.process) deep_ensemble (ise.ISEFlow attribute) (ise.models.ISEFlow attribute) (ise.models.iseflow.ISEFlow attribute) DeepEnsemble (class in ise.models) (class in ise.models.deep_ensemble) densities_path (ise.data.process.ProjectionProcessor attribute) device (ise.data.scaler.LogScaler attribute) (ise.data.scaler.RobustScaler attribute) (ise.data.scaler.StandardScaler attribute) (ise.ISEFlow attribute) (ise.models._experimental.DimensionProcessor attribute) (ise.models._experimental.PCA attribute) (ise.models._experimental.pca.DimensionProcessor attribute) (ise.models._experimental.pca.PCA attribute) (ise.models.ISEFlow attribute) (ise.models.iseflow.ISEFlow attribute) (ise.models.loss.WeightedGridLoss attribute) (ise.models.LSTM attribute) (ise.models.lstm.LSTM attribute) (ise.models.normalizing_flow.NormalizingFlow attribute) (ise.models.NormalizingFlow attribute)

DimensionProcessor (class in ise.models._experimental) (class in ise.models._experimental.pca) drop_outliers() (in module ise.data.feature_engineer) (ise.data.feature_engineer.FeatureEngineer method), [1] drop_vars() (ise.data.ForcingFile method) (ise.data.forcings.ForcingFile method) dropout (ise.models.LSTM attribute) (ise.models.lstm.LSTM attribute)

E

early_stop (ise.models.training.EarlyStoppingCheckpointer attribute) EarlyStoppingCheckpointer (class in ise.models.training) EmulandiceGP (class in ise.models._experimental) (class in ise.models._experimental.gp) EmulatorDataset (class in ise.data.dataclasses) enable_dropout() (ise.models._experimental.variational_lstm_emulator.VariationalLSTMEmulator method) (ise.models._experimental.VariationalLSTMEmulator method) ensemble_members (ise.models.deep_ensemble.DeepEnsemble attribute) (ise.models.DeepEnsemble attribute) epsilon (ise.data.scaler.LogScaler attribute) evaluate() (ise.models._experimental.scenario.ScenarioPredictor method) (ise.models._experimental.ScenarioPredictor method)

evspsbl_anomaly (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.ISEFlowAISInputs attribute) exclude_fetish_models() (in module ise.data.feature_engineer) (ise.data.feature_engineer.FeatureEngineer method) expand_dims() (ise.data.GridFile method) (ise.data.grids.GridFile method) experiments (ise.data.process.DatasetMerger attribute) explained_variance (ise.models._experimental.PCA attribute) (ise.models._experimental.pca.PCA attribute) explained_variance_ratio (ise.models._experimental.PCA attribute) (ise.models._experimental.pca.PCA attribute) exponential (ise.models._experimental.gp.PowerExponentialKernel attribute) (ise.models._experimental.PowerExponentialKernel attribute)

F

FeatureEngineer (class in ise.data.feature_engineer) features (ise.data.dataclasses.ScenarioDataset attribute) filepath (ise.data.ForcingFile attribute) (ise.data.forcings.ForcingFile attribute) (ise.data.GridFile attribute) (ise.data.grids.GridFile attribute) fill_mrro_nans() (in module ise.data.feature_engineer) (ise.data.feature_engineer.FeatureEngineer method), [1] fit() (ise.data.scaler.LogScaler method), [1] (ise.data.scaler.RobustScaler method), [1] (ise.data.scaler.StandardScaler method), [1] (ise.ISEFlow method) (ise.models._experimental.PCA method) (ise.models._experimental.pca.PCA method) (ise.models._experimental.scenario.ScenarioPredictor method) (ise.models._experimental.ScenarioPredictor method) (ise.models.deep_ensemble.DeepEnsemble method) (ise.models.DeepEnsemble method) (ise.models.ISEFlow method) (ise.models.iseflow.ISEFlow method) (ise.models.LSTM method) (ise.models.lstm.LSTM method) (ise.models.normalizing_flow.NormalizingFlow method) (ise.models.NormalizingFlow method) flow (ise.models.normalizing_flow.NormalizingFlow attribute) (ise.models.NormalizingFlow attribute) flow_hidden_features (ise.models.normalizing_flow.NormalizingFlow attribute) (ise.models.NormalizingFlow attribute) forcing_metadata (ise.data.process.DatasetMerger attribute) forcing_paths (ise.data.process.DatasetMerger attribute) ForcingFile (class in ise.data) (class in ise.data.forcings)

forcings_directory (ise.data.process.ProjectionProcessor attribute) format_grids() (ise.data.GridFile method) (ise.data.grids.GridFile method) format_timestamps() (ise.data.ForcingFile method) (ise.data.forcings.ForcingFile method) forward() (ise.ISEFlow method) (ise.models._experimental.scenario.ScenarioPredictor method) (ise.models._experimental.ScenarioPredictor method) (ise.models._experimental.variational_lstm_emulator.VariationalLSTMEmulator method) (ise.models._experimental.VariationalLSTMEmulator method) (ise.models.deep_ensemble.DeepEnsemble method) (ise.models.DeepEnsemble method) (ise.models.ISEFlow method) (ise.models.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.LSTM method) (ise.models.lstm.LSTM method) from_absolute_forcings() (ise.data.inputs.ISEFlowAISInputs class method) (ise.data.inputs.ISEFlowGrISInputs class method) (ise.data.ISEFlowAISInputs class method) (ise.data.ISEFlowGrISInputs class method) from_raw_values() (ise.data.inputs.ISEFlowAISInputs class method) (ise.data.inputs.ISEFlowGrISInputs class method) (ise.data.ISEFlowAISInputs class method) (ise.data.ISEFlowGrISInputs class method)

G

geothermal_heat_flux (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowGrISInputs attribute) get_all_filepaths() (in module ise.utils.functions) get_climatology() (ise.data.anomaly.AnomalyConverter method) (ise.data.AnomalyConverter method) get_data() (in module ise.utils) (in module ise.utils.functions) (ise.data.ForcingFile method) (ise.data.forcings.ForcingFile method) get_device() (in module ise.utils) (in module ise.utils.functions) get_latent() (ise.models.normalizing_flow.NormalizingFlow method) (ise.models.NormalizingFlow method)

get_model_densities() (in module ise.data.process) get_model_dir() (in module ise.models.pretrained) get_sectors() (ise.data.GridFile method) (ise.data.grids.GridFile method) get_uncertainty_bands() (in module ise.utils.functions) get_X_y() (in module ise.utils) (in module ise.utils.functions) get_xarray_data() (in module ise.data.process) GP (class in ise.models._experimental) (class in ise.models._experimental.gp) GridCriterion (class in ise.models.loss) GridFile (class in ise.data) (class in ise.data.grids) group_by_run() (in module ise.utils.functions)

I

ice_flow_model (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowGrISInputs attribute) ice_sheet (ise.data.anomaly.AnomalyConverter attribute) (ise.data.AnomalyConverter attribute) (ise.data.ForcingFile attribute) (ise.data.forcings.ForcingFile attribute) (ise.data.GridFile attribute) (ise.data.grids.GridFile attribute) (ise.data.process.ProjectionProcessor attribute) ice_shelf_fracture (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowAISInputs attribute) (ise.data.ISEFlowGrISInputs attribute) icefront_migration (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.ISEFlowAISInputs attribute) init_method (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.ISEFlowAISInputs attribute) initial_smb (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowGrISInputs attribute) initial_year (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowAISInputs attribute) (ise.data.ISEFlowGrISInputs attribute) initialization (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowGrISInputs attribute) input_size (ise.models.deep_ensemble.DeepEnsemble attribute) (ise.models.DeepEnsemble attribute) (ise.models.iseflow.ISEFlow_AIS_DE_v1_0_0 attribute) (ise.models.iseflow.ISEFlow_GrIS_DE_v1_0_0 attribute) (ise.models.LSTM attribute) (ise.models.lstm.LSTM attribute) interpolate_values() (in module ise.data.process) inverse_transform() (ise.data.scaler.LogScaler method), [1] (ise.data.scaler.RobustScaler method), [1] (ise.data.scaler.StandardScaler method), [1] (ise.models._experimental.PCA method) (ise.models._experimental.pca.PCA method) iqr_ (ise.data.scaler.RobustScaler attribute) ise module ise.data module ise.data.anomaly module ise.data.dataclasses module ise.data.feature_engineer module ise.data.forcings module ise.data.grids module ise.data.inputs module ise.data.process module ise.data.scaler module

ise.data.utils module ise.evaluation module ise.evaluation.metrics module ise.models module ise.models._experimental module ise.models._experimental.gp module ise.models._experimental.pca module ise.models._experimental.scenario module ise.models._experimental.variational_lstm_emulator module ise.models.deep_ensemble module ise.models.iseflow module ise.models.loss module ise.models.lstm module ise.models.normalizing_flow module ise.models.pretrained module ise.models.training module ise.utils module ise.utils.functions module ise.utils.io module ISEFlow (class in ise) (class in ise.models) (class in ise.models.iseflow) ISEFlow_AIS (class in ise) (class in ise.models) (class in ise.models.iseflow) ISEFlow_AIS_DE_v1_0_0 (class in ise.models.iseflow) ISEFlow_AIS_NF_v1_0_0 (class in ise.models.iseflow) ISEFlow_GrIS (class in ise) (class in ise.models) (class in ise.models.iseflow) ISEFlow_GrIS_DE_v1_0_0 (class in ise.models.iseflow) ISEFlow_GrIS_NF_v1_0_0 (class in ise.models.iseflow) ISEFLOW_LATEST_MODEL_VERSION (in module ise.models.pretrained) ISEFlowAISInputs (class in ise.data) (class in ise.data.inputs) ISEFlowGrISInputs (class in ise.data) (class in ise.data.inputs)

J

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

K

kernel (ise.models._experimental.GP attribute) (ise.models._experimental.gp.GP attribute) kl_divergence() (in module ise.evaluation) (in module ise.evaluation.metrics)

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

L

labels (ise.data.dataclasses.ScenarioDataset attribute) length_scale (ise.models._experimental.gp.PowerExponentialKernel attribute) (ise.models._experimental.PowerExponentialKernel attribute) length_scale_bounds (ise.models._experimental.gp.PowerExponentialKernel attribute) (ise.models._experimental.PowerExponentialKernel attribute) linear1 (ise.models.LSTM attribute) (ise.models.lstm.LSTM attribute) linear_out (ise.models.LSTM attribute) (ise.models.lstm.LSTM attribute) list_aogcms() (ise.data.anomaly.AnomalyConverter method) (ise.data.AnomalyConverter method) load() (ise.data.ForcingFile method) (ise.data.forcings.ForcingFile method) (ise.data.GridFile method) (ise.data.grids.GridFile method) (ise.data.scaler.LogScaler method) (ise.data.scaler.LogScaler static method) (ise.data.scaler.RobustScaler method) (ise.data.scaler.RobustScaler static method) (ise.data.scaler.StandardScaler method) (ise.data.scaler.StandardScaler static method) (ise.ISEFlow static method) (ise.models._experimental.EmulandiceGP method) (ise.models._experimental.GP method) (ise.models._experimental.gp.EmulandiceGP method) (ise.models._experimental.gp.GP method) (ise.models._experimental.PCA static method) (ise.models._experimental.pca.PCA static method) (ise.models._experimental.scenario.ScenarioPredictor method) (ise.models._experimental.ScenarioPredictor method) (ise.models.deep_ensemble.DeepEnsemble class method) (ise.models.DeepEnsemble class method) (ise.models.ISEFlow static method) (ise.models.iseflow.ISEFlow static method) (ise.models.LSTM class method) (ise.models.lstm.LSTM class method) (ise.models.normalizing_flow.NormalizingFlow static method) (ise.models.NormalizingFlow static method)

load_checkpoint() (ise.models.training.CheckpointSaver method) load_ml_data() (in module ise.utils.functions) load_model() (in module ise.utils.functions) log (ise.models.training.CheckpointSaver attribute) LogScaler (class in ise.data.scaler) loss_choices (ise.models.deep_ensemble.DeepEnsemble attribute) (ise.models.DeepEnsemble attribute) LSTM (class in ise.models) (class in ise.models.lstm) lstm (ise.models.LSTM attribute) (ise.models.lstm.LSTM attribute) lstm_num_hidden (ise.models.LSTM attribute) (ise.models.lstm.LSTM attribute) lstm_num_layers (ise.models.LSTM attribute) (ise.models.lstm.LSTM attribute)

M

mape() (in module ise.evaluation) (in module ise.evaluation.metrics) mean (ise.models._experimental.PCA attribute) (ise.models._experimental.pca.PCA attribute) mean_ (ise.data.scaler.StandardScaler attribute) mean_absolute_error() (in module ise.evaluation) (in module ise.evaluation.metrics) mean_prediction_interval_width() (in module ise.evaluation) (in module ise.evaluation.metrics) mean_squared_error() (in module ise.evaluation) (in module ise.evaluation.metrics) mean_squared_error_sector() (in module ise.evaluation) (in module ise.evaluation.metrics) median_ (ise.data.scaler.RobustScaler attribute) melt_in_floating_cells (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.ISEFlowAISInputs attribute) merge_dataset() (ise.data.process.DatasetMerger method) merge_datasets() (in module ise.data.process) merge_sectors() (ise.data.process.DatasetMerger method) min_value (ise.data.scaler.LogScaler attribute) model (ise.models.training.CheckpointSaver attribute) model_configs (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowAISInputs attribute) (ise.data.ISEFlowGrISInputs attribute) module ise ise.data ise.data.anomaly ise.data.dataclasses ise.data.feature_engineer ise.data.forcings ise.data.grids ise.data.inputs ise.data.process ise.data.scaler ise.data.utils ise.evaluation ise.evaluation.metrics ise.models ise.models._experimental ise.models._experimental.gp ise.models._experimental.pca ise.models._experimental.scenario ise.models._experimental.variational_lstm_emulator ise.models.deep_ensemble ise.models.iseflow ise.models.loss ise.models.lstm ise.models.normalizing_flow ise.models.pretrained ise.models.training ise.utils ise.utils.functions ise.utils.io

mrro_anomaly (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.ISEFlowAISInputs attribute) MSEDeviationLoss (class in ise.models.loss)

N

n_components (ise.models._experimental.PCA attribute) (ise.models._experimental.pca.PCA attribute) noise_level (ise.models._experimental.gp.NuggetKernel attribute) (ise.models._experimental.NuggetKernel attribute) noise_level_bounds (ise.models._experimental.gp.NuggetKernel attribute) (ise.models._experimental.NuggetKernel attribute) normalizing_flow (ise.ISEFlow attribute) (ise.models.ISEFlow attribute) (ise.models.iseflow.ISEFlow attribute) NormalizingFlow (class in ise.models) (class in ise.models.normalizing_flow) NuggetKernel (class in ise.models._experimental) (class in ise.models._experimental.gp)

num_features (ise.data.dataclasses.EmulatorDataset attribute) num_flow_transforms (ise.models.normalizing_flow.NormalizingFlow attribute) (ise.models.NormalizingFlow attribute) num_input_features (ise.models.normalizing_flow.NormalizingFlow attribute) (ise.models.NormalizingFlow attribute) num_predicted_sle (ise.models.normalizing_flow.NormalizingFlow attribute) (ise.models.NormalizingFlow attribute) num_projections (ise.data.dataclasses.EmulatorDataset attribute) num_timesteps (ise.data.dataclasses.EmulatorDataset attribute) numerics (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowAISInputs attribute) (ise.data.ISEFlowGrISInputs attribute)

O

ocean_forcing_type (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.ISEFlowAISInputs attribute) ocean_salinity (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.ISEFlowAISInputs attribute) ocean_sensitivity (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowAISInputs attribute) (ise.data.ISEFlowGrISInputs attribute) ocean_temperature (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.ISEFlowAISInputs attribute) ocean_thermal_forcing (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowAISInputs attribute) (ise.data.ISEFlowGrISInputs attribute) open_melt_type (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.ISEFlowAISInputs attribute) optimizer (ise.models.LSTM attribute) (ise.models.lstm.LSTM attribute) (ise.models.normalizing_flow.NormalizingFlow attribute) (ise.models.NormalizingFlow attribute) (ise.models.training.CheckpointSaver attribute)

output_directory (ise.data.feature_engineer.FeatureEngineer attribute) output_sequence_length (ise.models.deep_ensemble.DeepEnsemble attribute) (ise.models.DeepEnsemble attribute) (ise.models.LSTM attribute) (ise.models.lstm.LSTM attribute) (ise.models.normalizing_flow.NormalizingFlow attribute) (ise.models.NormalizingFlow attribute) output_size (ise.models.deep_ensemble.DeepEnsemble attribute) (ise.models.DeepEnsemble attribute) (ise.models.iseflow.ISEFlow_AIS_DE_v1_0_0 attribute) (ise.models.iseflow.ISEFlow_GrIS_DE_v1_0_0 attribute) (ise.models.LSTM attribute) (ise.models.lstm.LSTM attribute) override_params (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.ISEFlowAISInputs attribute)

P

patience (ise.models.training.EarlyStoppingCheckpointer attribute) PCA (class in ise.models._experimental) (class in ise.models._experimental.pca) pca (ise.models._experimental.DimensionProcessor attribute) (ise.models._experimental.pca.DimensionProcessor attribute) penalty_multiplier (ise.models.loss.MSEDeviationLoss attribute) PowerExponentialKernel (class in ise.models._experimental) (class in ise.models._experimental.gp) pr_anomaly (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.ISEFlowAISInputs attribute) predict() (ise.ISEFlow method) (ise.ISEFlow_AIS method) (ise.ISEFlow_GrIS method) (ise.models._experimental.EmulandiceGP method) (ise.models._experimental.gp.EmulandiceGP method) (ise.models._experimental.scenario.ScenarioPredictor method) (ise.models._experimental.ScenarioPredictor method) (ise.models._experimental.variational_lstm_emulator.VariationalLSTMEmulator method) (ise.models._experimental.VariationalLSTMEmulator method) (ise.models.deep_ensemble.DeepEnsemble method) (ise.models.DeepEnsemble method) (ise.models.ISEFlow method) (ise.models.iseflow.ISEFlow method) (ise.models.iseflow.ISEFlow_AIS method) (ise.models.iseflow.ISEFlow_GrIS method) (ise.models.ISEFlow_AIS method) (ise.models.ISEFlow_GrIS method) (ise.models.LSTM method) (ise.models.lstm.LSTM method)

process() (ise.data.process.ProjectionProcessor method), [1] (ise.ISEFlow_AIS method) (ise.ISEFlow_GrIS method) (ise.models.iseflow.ISEFlow_AIS method) (ise.models.iseflow.ISEFlow_GrIS method) (ise.models.ISEFlow_AIS method) (ise.models.ISEFlow_GrIS 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) projection_paths (ise.data.process.DatasetMerger attribute) ProjectionProcessor (class in ise.data.process) projections_directory (ise.data.process.ProjectionProcessor attribute) PyTorchDataset (class in ise.data.dataclasses)

R

r2_score() (in module ise.evaluation) (in module ise.evaluation.metrics) realm (ise.data.ForcingFile attribute) (ise.data.forcings.ForcingFile attribute) reduction (ise.models.loss.WeightedPCALoss attribute) relative_squared_error() (in module ise.evaluation) (in module ise.evaluation.metrics) relu (ise.models.LSTM attribute) (ise.models.lstm.LSTM attribute)

res_max (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowGrISInputs attribute) res_min (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowGrISInputs attribute) resolution (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.ISEFlowAISInputs attribute) (ise.data.process.ProjectionProcessor attribute) RobustScaler (class in ise.data.scaler)

S

sample() (ise.models.normalizing_flow.NormalizingFlow method) (ise.models.NormalizingFlow method) save() (ise.data.scaler.LogScaler method), [1] (ise.data.scaler.RobustScaler method), [1] (ise.data.scaler.StandardScaler method), [1] (ise.ISEFlow method) (ise.models._experimental.EmulandiceGP method) (ise.models._experimental.GP method) (ise.models._experimental.gp.EmulandiceGP method) (ise.models._experimental.gp.GP method) (ise.models._experimental.PCA method) (ise.models._experimental.pca.PCA method) (ise.models.deep_ensemble.DeepEnsemble method) (ise.models.DeepEnsemble method) (ise.models.ISEFlow method) (ise.models.iseflow.ISEFlow method) (ise.models.LSTM method) (ise.models.lstm.LSTM method) (ise.models.normalizing_flow.NormalizingFlow method) (ise.models.NormalizingFlow method) save_checkpoint() (ise.models.training.CheckpointSaver method) scale_ (ise.data.scaler.StandardScaler attribute) scale_data() (in module ise.data.feature_engineer) (ise.data.feature_engineer.FeatureEngineer method), [1] scalefac_path (ise.data.process.ProjectionProcessor attribute) scaler (ise.models._experimental.DimensionProcessor attribute) (ise.models._experimental.pca.DimensionProcessor attribute) scaler_path (ise.ISEFlow attribute) (ise.models.ISEFlow attribute) (ise.models.iseflow.ISEFlow attribute) scaler_X (ise.data.feature_engineer.FeatureEngineer attribute) scaler_X_path (ise.data.feature_engineer.FeatureEngineer attribute) scaler_y (ise.data.feature_engineer.FeatureEngineer attribute) scaler_y_path (ise.data.feature_engineer.FeatureEngineer attribute) ScenarioDataset (class in ise.data.dataclasses) ScenarioPredictor (class in ise.models._experimental) (class in ise.models._experimental.scenario) sector (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowAISInputs attribute) (ise.data.ISEFlowGrISInputs attribute)

sector_averages (ise.data.ForcingFile attribute) (ise.data.forcings.ForcingFile attribute) sector_variable_name (ise.data.GridFile attribute) (ise.data.grids.GridFile attribute) sectors (ise.data.ForcingFile attribute) (ise.data.forcings.ForcingFile attribute) sequence_length (ise.data.dataclasses.EmulatorDataset attribute) (ise.data.dataclasses.TSDataset attribute) set_predict_request() (ise.models._experimental.EmulandiceGP method) (ise.models._experimental.GP method) (ise.models._experimental.gp.EmulandiceGP method) (ise.models._experimental.gp.GP method) set_score_request() (ise.models._experimental.EmulandiceGP method) (ise.models._experimental.GP method) (ise.models._experimental.gp.EmulandiceGP method) (ise.models._experimental.gp.GP method) sign_penalty_factor (ise.models.loss.WeightedMSELossWithSignPenalty attribute) singular_values (ise.models._experimental.PCA attribute) (ise.models._experimental.pca.PCA attribute) smb_anomaly (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.ISEFlowAISInputs attribute) smooth_projections() (in module ise.models.iseflow) split_data() (ise.data.feature_engineer.FeatureEngineer method), [1] split_training_data() (in module ise.data.feature_engineer) standard_melt_type (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.ISEFlowAISInputs attribute) standard_ocean_forcing (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowGrISInputs attribute) StandardScaler (class in ise.data.scaler) stress_balance (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.ISEFlowAISInputs attribute) sum_by_sector() (in module ise.evaluation) (in module ise.evaluation.metrics) surface_thickness (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowGrISInputs attribute)

T

t (ise.models.normalizing_flow.NormalizingFlow attribute) (ise.models.NormalizingFlow attribute) t_test() (in module ise.evaluation) (in module ise.evaluation.metrics) test (ise.data.feature_engineer.FeatureEngineer attribute) test() (ise.ISEFlow_AIS method) (ise.ISEFlow_GrIS method) (ise.models._experimental.EmulandiceGP method) (ise.models._experimental.GP method) (ise.models._experimental.gp.EmulandiceGP method) (ise.models._experimental.gp.GP method) (ise.models.iseflow.ISEFlow_AIS method) (ise.models.iseflow.ISEFlow_GrIS method) (ise.models.ISEFlow_AIS method) (ise.models.ISEFlow_GrIS method) test_size (ise.data.feature_engineer.FeatureEngineer attribute) threshold (ise.models.loss.MSEDeviationLoss attribute) to_df() (ise.data.inputs.ISEFlowAISInputs method) (ise.data.inputs.ISEFlowGrISInputs method) (ise.data.ISEFlowAISInputs method) (ise.data.ISEFlowGrISInputs method) to_grid() (ise.models._experimental.DimensionProcessor method) (ise.models._experimental.pca.DimensionProcessor method) to_pca() (ise.models._experimental.DimensionProcessor method) (ise.models._experimental.pca.DimensionProcessor method)

to_tensor() (in module ise.utils.functions) total_variation_regularization() (ise.models.loss.GridCriterion method) (ise.models.loss.WeightedGridLoss method) train (ise.data.feature_engineer.FeatureEngineer attribute) train() (ise.models._experimental.EmulandiceGP method) (ise.models._experimental.GP method) (ise.models._experimental.gp.EmulandiceGP method) (ise.models._experimental.gp.GP method) train_size (ise.data.feature_engineer.FeatureEngineer attribute) trained (ise.ISEFlow attribute) (ise.models.deep_ensemble.DeepEnsemble attribute) (ise.models.DeepEnsemble attribute) (ise.models.ISEFlow attribute) (ise.models.iseflow.ISEFlow attribute) (ise.models.LSTM attribute) (ise.models.lstm.LSTM attribute) (ise.models.normalizing_flow.NormalizingFlow attribute) (ise.models.NormalizingFlow attribute) transform() (ise.data.scaler.LogScaler method), [1] (ise.data.scaler.RobustScaler method), [1] (ise.data.scaler.StandardScaler method), [1] (ise.models._experimental.PCA method) (ise.models._experimental.pca.PCA method) ts_anomaly (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.ISEFlowAISInputs attribute) TSDataset (class in ise.data.dataclasses)

U

undummify() (in module ise.utils.functions) unscale_column() (in module ise.utils.functions) unscale_data() (ise.data.feature_engineer.FeatureEngineer method), [1]

unscale_input() (in module ise.utils.functions) unscale_output() (in module ise.utils) (in module ise.utils.functions)

V

val (ise.data.feature_engineer.FeatureEngineer attribute) val_size (ise.data.feature_engineer.FeatureEngineer attribute) VariationalLSTMEmulator (class in ise.models._experimental) (class in ise.models._experimental.variational_lstm_emulator) varname (ise.data.ForcingFile attribute) (ise.data.forcings.ForcingFile attribute) velocity (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowGrISInputs attribute)

verbose (ise.models._experimental.GP attribute) (ise.models._experimental.gp.GP attribute) (ise.models.training.CheckpointSaver attribute) version (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowAISInputs attribute) (ise.data.ISEFlowGrISInputs attribute)

W

weight_factor (ise.models.loss.WeightedMSELoss attribute) (ise.models.loss.WeightedMSELossWithSignPenalty attribute) (ise.models.loss.WeightedMSEPCALoss attribute) 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) winkler_score() (in module ise.evaluation) (in module ise.evaluation.metrics)

X

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

xdim (ise.data.dataclasses.EmulatorDataset attribute)

Y

y (ise.data.dataclasses.EmulatorDataset attribute) (ise.data.dataclasses.TSDataset attribute) year (ise.data.inputs.ISEFlowAISInputs attribute) (ise.data.inputs.ISEFlowGrISInputs attribute) (ise.data.ISEFlowAISInputs attribute) (ise.data.ISEFlowGrISInputs attribute)