Index A | B | C | D | E | F | G | I | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Z A Activation (class in aixd.mlmodel.architecture.blocks) AdaptiveSamplingEngine (class in aixd.sampler.engines) Add (class in aixd.sampler.operators) AgnosticSamplingEngine (class in aixd.sampler.engines) aixd module aixd.data module aixd.mlmodel module aixd.sampler module aixd.utils module aixd.visualisation module All (class in aixd.sampler.reducers) analysis() (aixd.data.Dataset method) AnalysisCallback (class in aixd.data.custom_callbacks) analyze() (aixd.data.custom_callbacks.AnalysisCallback method) And (class in aixd.sampler.operators) Any (class in aixd.sampler.reducers) Arithmetic (class in aixd.sampler.operators) attributes_obs_vs_pred() (aixd.visualisation.Plotter method) available_block_names() (aixd.visualisation.Plotter method) B BayesOptSamplingEngine (class in aixd.sampler.engines) Boolean (class in aixd.sampler.operators) C calc_x_losses_calculation() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) calc_y_losses_calculation() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) calculate() (aixd.mlmodel.sensitivity.sensitivities.GlobalSensitivity method) (aixd.mlmodel.sensitivity.sensitivities.LocalSensitivity method) CastBooleanToConstant (class in aixd.sampler.operators) check_data_consistency() (aixd.data.DataBlock method) (aixd.data.Dataset method) combine_formats() (in module aixd.data.utils_data) CondAEModel (class in aixd.mlmodel.architecture.cond_ae_model) CondVAEModel (class in aixd.mlmodel.architecture.cond_vae_model) configure_optimizers() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) Constant (class in aixd.sampler.operators) contours2d() (aixd.visualisation.Plotter method) convert_to() (in module aixd.data.utils_data) convert_to_dataloader() (aixd.mlmodel.data.data_loader.DataModule method) copy() (aixd.data.DataBool method) (aixd.data.DataCategorical method) (aixd.data.DataInt method) (aixd.data.DataOrdinal method) (aixd.data.DataReal method) (aixd.data.IntervalInt method) (aixd.data.IntervalMasked method) (aixd.data.IntervalReal method) (aixd.data.OptionsBool method) (aixd.data.OptionsCategorical method) (aixd.data.OptionsOrdinal method) (aixd.data.transform.DataObjectTransform method) correlation() (aixd.visualisation.Plotter method) CustomCallback (class in aixd.data.custom_callbacks) D data_mat_with_dobjs() (aixd.data.Dataset method) DataBlock (class in aixd.data) DataBool (class in aixd.data) DataCategorical (class in aixd.data) DataInt (class in aixd.data) DataModule (class in aixd.mlmodel.data.data_loader) DataObjectTransform (class in aixd.data.transform) DataOrdinal (class in aixd.data) DataReal (class in aixd.data) Dataset (class in aixd.data) decode() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) Decoder (class in aixd.mlmodel.architecture.decoders) deserialise() (aixd.sampler.engines.SamplingEngine static method) DesignParameters (class in aixd.data) DesignRepresentation (class in aixd.data) distrib_attributes() (aixd.visualisation.Plotter method) distrib_attributes2d() (aixd.visualisation.Plotter method) distrib_attributes_high_dim() (aixd.visualisation.Plotter method) Divide (class in aixd.sampler.operators) E encode() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) Encoder (class in aixd.mlmodel.architecture.encoders) Equal (class in aixd.sampler.operators) evaluate() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) (aixd.sampler.operators.Add method) (aixd.sampler.operators.And method) (aixd.sampler.operators.CastBooleanToConstant method) (aixd.sampler.operators.Constant method) (aixd.sampler.operators.Divide method) (aixd.sampler.operators.Equal method) (aixd.sampler.operators.Exp method) (aixd.sampler.operators.GreaterOrEqual method) (aixd.sampler.operators.GreaterThan method) (aixd.sampler.operators.LessOrEqual method) (aixd.sampler.operators.LessThan method) (aixd.sampler.operators.Log method) (aixd.sampler.operators.Multiply method) (aixd.sampler.operators.Negative method) (aixd.sampler.operators.Not method) (aixd.sampler.operators.Or method) (aixd.sampler.operators.Pow method) (aixd.sampler.operators.Subtract method) (aixd.sampler.operators.XOr method) (aixd.sampler.reducers.All method) (aixd.sampler.reducers.Any method) (aixd.sampler.reducers.Mean method) (aixd.sampler.reducers.Reducer method) (aixd.sampler.reducers.Std method) (aixd.sampler.reducers.Sum method) (aixd.sampler.reducers.Var method) evaluate_generation() (aixd.visualisation.Plotter method) evaluate_training() (aixd.visualisation.Plotter method) Exp (class in aixd.sampler.operators) F finetune_function() (aixd.mlmodel.architecture.two_stage_model.FreezeEncoder method) fit() (aixd.data.transform.DataObjectTransform method) (aixd.data.transform.LabelEncoder method) (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) (aixd.mlmodel.architecture.two_stage_model.InverseModel method) (aixd.sampler.sampler.SamplesGenerator method) (aixd.sampler.strategies.KernelDensityStrategy method) (aixd.sampler.strategies.QuantileStrategy method) (aixd.sampler.strategies.Strategy method) fit_transform() (aixd.data.transform.DataObjectTransform method) forward() (aixd.mlmodel.architecture.blocks.Activation method) (aixd.mlmodel.architecture.blocks.ResBlockConv method) (aixd.mlmodel.architecture.blocks.ResBlockFC method) (aixd.mlmodel.architecture.blocks.SelfAttn method) (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) (aixd.mlmodel.architecture.decoders.Decoder method) (aixd.mlmodel.architecture.encoders.Encoder method) (aixd.mlmodel.architecture.encoders.VEncoder method) (aixd.mlmodel.architecture.heads.InHeadConv method) (aixd.mlmodel.architecture.heads.InHeadFC method) (aixd.mlmodel.architecture.heads.OutHeadConv method) (aixd.mlmodel.architecture.heads.OutHeadFC method) (aixd.mlmodel.architecture.losses.LossStd method) (aixd.mlmodel.architecture.losses.MGEloss method) (aixd.mlmodel.architecture.two_stage_model.InverseModel method) forward_evaluation() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) freeze_before_training() (aixd.mlmodel.architecture.two_stage_model.FreezeEncoder method) FreezeEncoder (class in aixd.mlmodel.architecture.two_stage_model) from_config() (aixd.utils.Logger class method) (aixd.utils.Logger method) from_config_dict() (aixd.mlmodel.data.data_loader.DataModule class method) from_datamodule() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel class method) from_dataset() (aixd.mlmodel.data.data_loader.DataModule class method) from_dataset_folder() (aixd.data.Dataset class method) from_json() (aixd.mlmodel.data.data_loader.DataModule class method) from_parameters() (aixd.mlmodel.data.data_loader.DataModule class method) G generate() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) (aixd.mlmodel.generation.generator.Generator method) (aixd.mlmodel.generation.sampling.GeneratorSampler method) (aixd.sampler.sampler.SamplesGenerator method) generate_z() (aixd.mlmodel.generation.sampling.GeneratorSampler method) generation_scatter() (aixd.visualisation.Plotter method) Generator (class in aixd.mlmodel.generation.generator) GeneratorCallback (class in aixd.sampler.callbacks) GeneratorSampler (class in aixd.mlmodel.generation.sampling) get_activation_outhead() (aixd.data.DataInt method) (aixd.data.DataOrdinal method) (aixd.data.DataReal method) get_checksum() (aixd.mlmodel.data.data_loader.DataModule method) get_child() (aixd.utils.Logger method), [1] get_cols_dobjs() (aixd.data.DataBlock method) get_data_mat() (aixd.data.DataBlock method) get_data_mats() (aixd.data.DataBlock method) get_data_objects_by_name() (aixd.data.Dataset method) (aixd.mlmodel.data.data_loader.DataModule method) get_dobj_dimensions() (aixd.data.DataBlock method) (aixd.data.TransformableDataBlock method) get_dobjs() (aixd.data.DataBlock method) get_evaluation_losses() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) get_loss_evaluation() (aixd.data.DataInt method) (aixd.data.DataOrdinal method) (aixd.data.DataReal method) get_ml_heads() (aixd.data.DataInt method) (aixd.data.DataOrdinal method) (aixd.data.DataReal method) get_name() (aixd.utils.Logger class method) (aixd.utils.Logger method) get_objective() (aixd.data.DataInt method) (aixd.data.DataOrdinal method) (aixd.data.DataReal method) get_parameters() (aixd.mlmodel.data.data_loader.DataModule method) get_samples() (aixd.data.Dataset method) get_x_test() (aixd.mlmodel.data.data_loader.DataModule method) get_x_train() (aixd.mlmodel.data.data_loader.DataModule method) get_x_val() (aixd.mlmodel.data.data_loader.DataModule method) get_y_test() (aixd.mlmodel.data.data_loader.DataModule method) get_y_train() (aixd.mlmodel.data.data_loader.DataModule method) get_y_val() (aixd.mlmodel.data.data_loader.DataModule method) GlobalSensitivity (class in aixd.mlmodel.sensitivity.sensitivities) GreaterOrEqual (class in aixd.sampler.operators) GreaterThan (class in aixd.sampler.operators) GridSamplingEngine (class in aixd.sampler.engines) I import_data() (aixd.data.Dataset method) import_data_from_csv() (aixd.data.Dataset method) import_data_from_df() (aixd.data.Dataset method) ImportCallback (class in aixd.data.custom_callbacks) info_attributes_req() (aixd.mlmodel.generation.generator.Generator method) info_dobj() (aixd.data.DataBlock method) InHeadConv (class in aixd.mlmodel.architecture.heads) InHeadConv1D (class in aixd.mlmodel.architecture.heads) InHeadConv2D (class in aixd.mlmodel.architecture.heads) InHeadConv3D (class in aixd.mlmodel.architecture.heads) InHeadFC (class in aixd.mlmodel.architecture.heads) InputML (class in aixd.data) IntervalInt (class in aixd.data) IntervalMasked (class in aixd.data) IntervalReal (class in aixd.data) inverse_transform() (aixd.data.transform.DataObjectTransform method) (aixd.data.transform.LabelEncoder method) (aixd.data.transform.Log10Transform method) (aixd.data.transform.MaskedMinMaxScaler method) (aixd.data.transform.MinMaxScaler method) (aixd.data.transform.SigmoidTransform method) (aixd.data.transform.Standardization method) (aixd.data.transform.ToFloat method) (aixd.data.TransformableDataBlock method) (aixd.mlmodel.data.data_loader.DataModule method) inverse_transform_x() (aixd.mlmodel.data.data_loader.DataModule method) inverse_transform_y() (aixd.mlmodel.data.data_loader.DataModule method) InverseModel (class in aixd.mlmodel.architecture.two_stage_model) is_differentiable() (aixd.sampler.operators.Arithmetic method) (aixd.sampler.operators.Boolean method) (aixd.sampler.operators.CastBooleanToConstant method) (aixd.sampler.reducers.All method) (aixd.sampler.reducers.Any method) (aixd.sampler.reducers.Reducer method) is_fitted() (aixd.data.transform.DataObjectTransform method) (aixd.data.transform.LabelEncoder method) (aixd.data.transform.MinMaxScaler method) (aixd.data.transform.SigmoidTransform method) (aixd.data.transform.Standardization method) (aixd.data.transform.ToFloat method) K kde_distribution_attributes() (aixd.visualisation.Plotter method) KernelDensityStrategy (class in aixd.sampler.strategies) L LabelEncoder (class in aixd.data.transform) LessOrEqual (class in aixd.sampler.operators) LessThan (class in aixd.sampler.operators) LHCSamplingEngine (class in aixd.sampler.engines) load() (aixd.data.Dataset method) (aixd.mlmodel.data.data_loader.DataModule class method) load_model_from_checkpoint() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel class method) LocalSensitivity (class in aixd.mlmodel.sensitivity.sensitivities) Log (class in aixd.sampler.operators) Log10Transform (class in aixd.data.transform) Logger (class in aixd.utils) LossStd (class in aixd.mlmodel.architecture.losses) M MaskedMinMaxScaler (class in aixd.data.transform) MaskedMinusOneToOne (class in aixd.data.transform) MaskedZeroToOne (class in aixd.data.transform) Mean (class in aixd.sampler.reducers) MGEloss (class in aixd.mlmodel.architecture.losses) MinMaxScaler (class in aixd.data.transform) MinusOneToOne (class in aixd.data.transform) module aixd aixd.data aixd.mlmodel aixd.sampler aixd.utils aixd.visualisation Multiply (class in aixd.sampler.operators) N Negative (class in aixd.sampler.operators) Not (class in aixd.sampler.operators) O on_load_checkpoint() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) on_save_checkpoint() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) OptionsBool (class in aixd.data) OptionsCategorical (class in aixd.data) OptionsOrdinal (class in aixd.data) Or (class in aixd.sampler.operators) OutHeadConv (class in aixd.mlmodel.architecture.heads) OutHeadConv1D (class in aixd.mlmodel.architecture.heads) OutHeadConv2D (class in aixd.mlmodel.architecture.heads) OutHeadConv3D (class in aixd.mlmodel.architecture.heads) OutHeadFC (class in aixd.mlmodel.architecture.heads) OutputML (class in aixd.data) P parallel_coordinates() (aixd.visualisation.Plotter method) performance_summary() (aixd.visualisation.Plotter method) PerformanceAttributes (class in aixd.data) plot() (aixd.mlmodel.sensitivity.sensitivities.GlobalSensitivity method) (aixd.mlmodel.sensitivity.sensitivities.LocalSensitivity method) Plotter (class in aixd.visualisation) Pow (class in aixd.sampler.operators) predict() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) predict_dataloader() (aixd.mlmodel.data.data_loader.DataModule method) predict_step() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) predict_y() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) print_objects() (aixd.data.DataBlock method) print_results_gen() (aixd.mlmodel.generation.generator.Generator method) print_transf() (aixd.data.DataBlock method) Q QuantileStrategy (class in aixd.sampler.strategies) R RandomSamplingEngine (class in aixd.sampler.engines) read() (aixd.data.DataBlock method) (aixd.data.DesignRepresentation method) Reducer (class in aixd.sampler.reducers) reformat_array_to_list() (in module aixd.data.utils_data) reformat_array_to_torch() (in module aixd.data.utils_data) reformat_dataframe_to_dataframeflat() (in module aixd.data.utils_data) reformat_dataframe_to_dict() (in module aixd.data.utils_data) reformat_dataframe_to_dictlist() (in module aixd.data.utils_data) reformat_dataframe_to_list() (in module aixd.data.utils_data) reformat_dataframeflat_to_dataframe() (in module aixd.data.utils_data) reformat_dataframeflat_to_dict() (in module aixd.data.utils_data) reformat_dict_to_dataframe() (in module aixd.data.utils_data) reformat_dict_to_dictlist() (in module aixd.data.utils_data) reformat_dictlist_to_dict() (in module aixd.data.utils_data) reformat_list_to_array() (in module aixd.data.utils_data) reformat_list_to_dataframe() (in module aixd.data.utils_data) reformat_list_to_dict() (in module aixd.data.utils_data) reformat_list_to_dictlist() (in module aixd.data.utils_data) reformat_torch_to_array() (in module aixd.data.utils_data) ResBlock1D (class in aixd.mlmodel.architecture.blocks) ResBlock2D (class in aixd.mlmodel.architecture.blocks) ResBlock3D (class in aixd.mlmodel.architecture.blocks) ResBlockConv (class in aixd.mlmodel.architecture.blocks) ResBlockFC (class in aixd.mlmodel.architecture.blocks) reset() (aixd.data.transform.DataObjectTransform method) (aixd.data.transform.LabelEncoder method) (aixd.data.transform.MinMaxScaler method) (aixd.data.transform.SigmoidTransform method) (aixd.data.transform.Standardization method) reset_states() (aixd.sampler.engines.BayesOptSamplingEngine method) (aixd.sampler.engines.LHCSamplingEngine method) (aixd.sampler.engines.SamplingEngine method) (aixd.sampler.engines.SobolSamplingEngine method) (aixd.sampler.sampler.SamplesGenerator method) (aixd.sampler.strategies.KernelDensityStrategy method) (aixd.sampler.strategies.QuantileStrategy method) (aixd.sampler.strategies.Strategy method) run() (aixd.data.custom_callbacks.AnalysisCallback method) (aixd.data.custom_callbacks.CustomCallback method) (aixd.data.custom_callbacks.ImportCallback method) (aixd.data.custom_callbacks.SamplingCallback method) S sample() (aixd.sampler.engines.BayesOptSamplingEngine method) (aixd.sampler.engines.GridSamplingEngine method) (aixd.sampler.engines.LHCSamplingEngine method) (aixd.sampler.engines.RandomSamplingEngine method) (aixd.sampler.engines.SamplingEngine method) (aixd.sampler.engines.SobolSamplingEngine method) (aixd.sampler.strategies.KernelDensityStrategy method) (aixd.sampler.strategies.QuantileStrategy method) (aixd.sampler.strategies.Strategy method) (aixd.sampler.strategies.UniformStrategy method) SamplesGenerator (class in aixd.sampler.sampler) sampling() (aixd.data.Dataset method) SamplingCallback (class in aixd.data.custom_callbacks) SamplingEngine (class in aixd.sampler.engines) save() (aixd.mlmodel.data.data_loader.DataModule method) save_dataset_obj() (aixd.data.Dataset method) save_extra_parameters() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) SelfAttn (class in aixd.mlmodel.architecture.blocks) SelfAttn1D (class in aixd.mlmodel.architecture.blocks) SelfAttn2D (class in aixd.mlmodel.architecture.blocks) SelfAttn3D (class in aixd.mlmodel.architecture.blocks) set_level() (aixd.utils.Logger method) set_verbosity() (aixd.utils.Logger method) SigmoidTransform (class in aixd.data.transform) SobolSamplingEngine (class in aixd.sampler.engines) split_x_head_in() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) split_x_head_out() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) split_xy_in() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) split_xy_out() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) split_y_head_in() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) split_y_head_out() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) Standardization (class in aixd.data.transform) Std (class in aixd.sampler.reducers) Strategy (class in aixd.sampler.strategies) Subtract (class in aixd.sampler.operators) Sum (class in aixd.sampler.reducers) summary() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) (aixd.mlmodel.architecture.decoders.Decoder method) (aixd.mlmodel.architecture.encoders.Encoder method) summary_data() (aixd.data.Dataset method) summary_datablocks() (aixd.data.Dataset method) summary_dataobjects() (aixd.data.Dataset method) summary_input_output_dimensions() (aixd.mlmodel.data.data_loader.DataModule method) summary_sampling_types() (aixd.mlmodel.generation.sampling.GeneratorSampler method) T test() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) test_dataloader() (aixd.mlmodel.data.data_loader.DataModule method) test_step() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) to_config_dict() (aixd.mlmodel.data.data_loader.DataModule method) to_data_block() (aixd.data.TransformableDataBlock method) to_untransformed_pred() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) ToFloat (class in aixd.data.transform) train_dataloader() (aixd.mlmodel.data.data_loader.DataModule method) training_step() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) transform() (aixd.data.transform.DataObjectTransform method) (aixd.data.transform.LabelEncoder method) (aixd.data.transform.Log10Transform method) (aixd.data.transform.MaskedMinMaxScaler method) (aixd.data.transform.MinMaxScaler method) (aixd.data.transform.SigmoidTransform method) (aixd.data.transform.Standardization method) (aixd.data.transform.ToFloat method) (aixd.data.TransformableDataBlock method) (aixd.mlmodel.data.data_loader.DataModule method) transform_x() (aixd.mlmodel.data.data_loader.DataModule method) transform_y() (aixd.mlmodel.data.data_loader.DataModule method) TransformableDataBlock (class in aixd.data) transformation_is_fitted() (aixd.data.TransformableDataBlock method) U UniformStrategy (class in aixd.sampler.strategies) update() (aixd.sampler.engines.AdaptiveSamplingEngine method) (aixd.sampler.engines.AgnosticSamplingEngine method) (aixd.sampler.engines.BayesOptSamplingEngine method) (aixd.sampler.engines.SamplingEngine method) (aixd.sampler.strategies.KernelDensityStrategy method) (aixd.sampler.strategies.Strategy method) update_obj() (aixd.data.DataBlock method) update_obj_domains() (aixd.data.Dataset method) update_position_indices() (aixd.data.DataBlock static method) V val_dataloader() (aixd.mlmodel.data.data_loader.DataModule method) validate() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) validation_step() (aixd.mlmodel.architecture.cond_ae_model.CondAEModel method) Var (class in aixd.sampler.reducers) VEncoder (class in aixd.mlmodel.architecture.encoders) W write() (aixd.data.DataBlock method) (aixd.data.DesignRepresentation method) X XOr (class in aixd.sampler.operators) Z ZeroToOne (class in aixd.data.transform)