Index A | B | C | D | E | F | G | H | I | L | M | O | P | R | S | T | U | W A AbsConv1dHead (class in lumin.nn.models.blocks.head) AbsCyclicCallback (class in lumin.nn.callbacks.cyclic_callbacks) AbsEndcap (class in lumin.nn.models.blocks.endcap) AbsModelCallback (class in lumin.nn.callbacks.model_callbacks) add_abs_mom() (in module lumin.data_processing.hep_proc) add_energy() (in module lumin.data_processing.hep_proc) add_ignore() (lumin.nn.data.fold_yielder.FoldYielder method) add_input_pipe() (lumin.nn.data.fold_yielder.FoldYielder method) (lumin.nn.ensemble.ensemble.Ensemble method) add_input_pipe_from_file() (lumin.nn.data.fold_yielder.FoldYielder method) add_mass() (in module lumin.data_processing.hep_proc) add_matrix_pipe() (lumin.nn.data.fold_yielder.FoldYielder method) add_matrix_pipe_from_file() (lumin.nn.data.fold_yielder.FoldYielder method) add_meta_data() (in module lumin.data_processing.file_proc) add_mt() (in module lumin.data_processing.hep_proc) add_output_pipe() (lumin.nn.data.fold_yielder.FoldYielder method) (lumin.nn.ensemble.ensemble.Ensemble method) add_output_pipe_from_file() (lumin.nn.data.fold_yielder.FoldYielder method) AMS (class in lumin.nn.metrics.class_eval) ams_scan_quick() (in module lumin.evaluation.ams) ams_scan_slow() (in module lumin.evaluation.ams) auto_filter_on_linear_correlation() (in module lumin.optimisation.features) auto_filter_on_mutual_dependence() (in module lumin.optimisation.features) B BatchYielder (class in lumin.nn.data.batch_yielder) bin_binary_class_pred() (in module lumin.inference.summary_stat) binary_class_cut_by_ams() (in module lumin.optimisation.threshold) BinaryLabelSmooth (class in lumin.nn.callbacks.data_callbacks) boost() (in module lumin.data_processing.hep_proc) boost2cm() (in module lumin.data_processing.hep_proc) bootstrap_stats() (in module lumin.utils.statistics) BootstrapResample (class in lumin.nn.callbacks.data_callbacks) build_ensemble() (lumin.nn.ensemble.ensemble.Ensemble method) build_model() (lumin.nn.models.model_builder.ModelBuilder method) C calc_ams() (in module lumin.evaluation.ams) calc_ams_torch() (in module lumin.evaluation.ams) calc_emb_szs() (lumin.nn.models.helpers.CatEmbedder method) calc_pair_mass() (in module lumin.data_processing.hep_proc) Callback (class in lumin.nn.callbacks.callback) CatEmbedder (class in lumin.nn.models.helpers) CatEmbHead (class in lumin.nn.models.blocks.head) check_out_sz() (lumin.nn.models.blocks.head.AbsConv1dHead method) check_val_set() (in module lumin.utils.data) ClassRegMulti (class in lumin.nn.models.blocks.tail) close() (lumin.nn.data.fold_yielder.FoldYielder method) columns() (lumin.nn.data.fold_yielder.FoldYielder method) compare_events() (in module lumin.plotting.data_viewing) Conv1DBlock (class in lumin.nn.models.blocks.conv_blocks) cos_delta() (in module lumin.data_processing.hep_proc) CycleLR (class in lumin.nn.callbacks.cyclic_callbacks) CycleMom (class in lumin.nn.callbacks.cyclic_callbacks) D delta_phi() (in module lumin.data_processing.hep_proc) delta_r() (in module lumin.data_processing.hep_proc) delta_r_boosted() (in module lumin.data_processing.hep_proc) df2foldfile() (in module lumin.data_processing.file_proc) E Ensemble (class in lumin.nn.ensemble.ensemble) EvalMetric (class in lumin.nn.metrics.eval_metric) evaluate() (lumin.nn.metrics.class_eval.AMS method) (lumin.nn.metrics.class_eval.MultiAMS method) (lumin.nn.metrics.eval_metric.EvalMetric method) (lumin.nn.metrics.reg_eval.RegAsProxyPull method) (lumin.nn.metrics.reg_eval.RegPull method) (lumin.nn.models.model.Model method) evaluate_from_by() (lumin.nn.models.model.Model method) event_to_cartesian() (in module lumin.data_processing.hep_proc) export2onnx() (lumin.nn.ensemble.ensemble.Ensemble method) (lumin.nn.models.model.Model method) export2tfpb() (lumin.nn.ensemble.ensemble.Ensemble method) (lumin.nn.models.model.Model method) F FeatureSubsample (class in lumin.nn.callbacks.data_callbacks) fit() (lumin.nn.models.model.Model method) fit_input_pipe() (in module lumin.data_processing.pre_proc) fit_output_pipe() (in module lumin.data_processing.pre_proc) fix_event_phi() (in module lumin.data_processing.hep_proc) fix_event_y() (in module lumin.data_processing.hep_proc) fix_event_z() (in module lumin.data_processing.hep_proc) fold2foldfile() (in module lumin.data_processing.file_proc) fold_lr_find() (in module lumin.optimisation.hyper_param) FoldYielder (class in lumin.nn.data.fold_yielder) forward() (lumin.nn.losses.basic_weighted.WeightedCCE method) (lumin.nn.losses.basic_weighted.WeightedMAE method) (lumin.nn.losses.basic_weighted.WeightedMSE method) (lumin.nn.losses.hep_losses.SignificanceLoss method) (lumin.nn.models.blocks.body.FullyConnected method) (lumin.nn.models.blocks.body.MultiBlock method) (lumin.nn.models.blocks.conv_blocks.Conv1DBlock method) (lumin.nn.models.blocks.conv_blocks.Res1DBlock method) (lumin.nn.models.blocks.conv_blocks.ResNeXt1DBlock method) (lumin.nn.models.blocks.endcap.AbsEndcap method) (lumin.nn.models.blocks.head.AbsConv1dHead method) (lumin.nn.models.blocks.head.CatEmbHead method) (lumin.nn.models.blocks.head.InteractionNet method) (lumin.nn.models.blocks.head.MultiHead method) (lumin.nn.models.blocks.head.RecurrentHead method) (lumin.nn.models.blocks.tail.ClassRegMulti method) (lumin.nn.models.layers.activations.Swish method) FowardHook (class in lumin.utils.misc) from_fy() (lumin.nn.models.helpers.CatEmbedder class method) from_model_builder() (lumin.nn.models.model_builder.ModelBuilder class method) from_results() (lumin.nn.ensemble.ensemble.Ensemble class method) from_save() (lumin.nn.ensemble.ensemble.Ensemble class method) (lumin.nn.models.model.Model class method) FullyConnected (class in lumin.nn.models.blocks.body) func() (lumin.nn.models.blocks.endcap.AbsEndcap method) G get_body() (lumin.nn.models.model_builder.ModelBuilder method) get_column() (lumin.nn.data.fold_yielder.FoldYielder method) get_conv1d_block() (lumin.nn.models.blocks.head.AbsConv1dHead method) get_conv1d_res_block() (lumin.nn.models.blocks.head.AbsConv1dHead method) get_conv1d_resNeXt_block() (lumin.nn.models.blocks.head.AbsConv1dHead method) get_conv_layer() (lumin.nn.models.blocks.conv_blocks.Conv1DBlock method) get_data() (lumin.nn.data.fold_yielder.FoldYielder method) get_df() (lumin.nn.callbacks.opt_callbacks.LRFinder method) (lumin.nn.data.fold_yielder.FoldYielder method) (lumin.nn.metrics.eval_metric.EvalMetric method) get_embeds() (lumin.nn.models.blocks.head.CatEmbHead method) get_ensemble_feat_importance() (in module lumin.nn.interpretation.features) get_feat_importance() (lumin.nn.ensemble.ensemble.Ensemble method) (lumin.nn.models.model.Model method) get_fold() (lumin.nn.data.fold_yielder.FoldYielder method) (lumin.nn.data.fold_yielder.HEPAugFoldYielder method) get_head() (lumin.nn.models.model_builder.ModelBuilder method) get_ignore() (lumin.nn.data.fold_yielder.FoldYielder method) get_inputs() (lumin.nn.data.batch_yielder.BatchYielder method) get_layers() (lumin.nn.models.blocks.head.AbsConv1dHead method) get_loss() (lumin.nn.callbacks.model_callbacks.AbsModelCallback method) (lumin.nn.callbacks.model_callbacks.SWA method) get_lr() (lumin.nn.models.model.Model method) get_model() (lumin.nn.models.model_builder.ModelBuilder method) get_mom() (lumin.nn.models.model.Model method) get_moments() (in module lumin.utils.statistics) get_momentum() (in module lumin.data_processing.hep_proc) get_nn_feat_importance() (in module lumin.nn.interpretation.features) get_opt_rf_params() (in module lumin.optimisation.hyper_param) get_out_size() (lumin.nn.models.blocks.body.FullyConnected method) (lumin.nn.models.blocks.body.MultiBlock method) (lumin.nn.models.blocks.head.AbsConv1dHead method) (lumin.nn.models.blocks.head.CatEmbHead method) (lumin.nn.models.blocks.head.InteractionNet method) (lumin.nn.models.blocks.head.MultiHead method) (lumin.nn.models.blocks.head.RecurrentHead method) (lumin.nn.models.blocks.tail.ClassRegMulti method) (lumin.nn.models.model.Model method) (lumin.nn.models.model_builder.ModelBuilder method) get_padding() (lumin.nn.models.blocks.conv_blocks.Conv1DBlock static method) get_param_count() (lumin.nn.models.model.Model method) get_pre_proc_pipes() (in module lumin.data_processing.pre_proc) get_rf_feat_importance() (in module lumin.optimisation.features) get_tail() (lumin.nn.models.model_builder.ModelBuilder method) get_test_fold() (lumin.nn.data.fold_yielder.HEPAugFoldYielder method) get_use_cat_feats() (lumin.nn.data.fold_yielder.FoldYielder method) get_use_cont_feats() (lumin.nn.data.fold_yielder.FoldYielder method) get_vecs() (in module lumin.data_processing.hep_proc) get_weights() (lumin.nn.models.model.Model method) GradClip (class in lumin.nn.callbacks.loss_callbacks) H HEPAugFoldYielder (class in lumin.nn.data.fold_yielder) hook_fn() (lumin.utils.misc.FowardHook method) I ids2unique() (in module lumin.utils.misc) InteractionNet (class in lumin.nn.models.blocks.head) L load() (lumin.nn.ensemble.ensemble.Ensemble method) (lumin.nn.models.model.Model method) load_pretrained() (lumin.nn.models.model_builder.ModelBuilder method) load_trained_model() (lumin.nn.ensemble.ensemble.Ensemble static method) lookup_act() (in module lumin.nn.models.layers.activations) lookup_normal_init() (in module lumin.nn.models.initialisations) lookup_uniform_init() (in module lumin.nn.models.initialisations) LRFinder (class in lumin.nn.callbacks.opt_callbacks) LsuvInit (class in lumin.nn.callbacks.lsuv_init) lumin (module) lumin.data_processing (module) lumin.data_processing.file_proc (module) lumin.data_processing.hep_proc (module) lumin.data_processing.pre_proc (module) lumin.evaluation (module) lumin.evaluation.ams (module) lumin.inference (module) lumin.inference.summary_stat (module) lumin.nn (module) lumin.nn.callbacks (module) lumin.nn.callbacks.callback (module) lumin.nn.callbacks.cyclic_callbacks (module) lumin.nn.callbacks.data_callbacks (module) lumin.nn.callbacks.loss_callbacks (module) lumin.nn.callbacks.lsuv_init (module) lumin.nn.callbacks.model_callbacks (module) lumin.nn.callbacks.opt_callbacks (module) lumin.nn.data (module) lumin.nn.data.batch_yielder (module) lumin.nn.data.fold_yielder (module) lumin.nn.ensemble (module) lumin.nn.ensemble.ensemble (module) lumin.nn.interpretation (module) lumin.nn.interpretation.features (module) lumin.nn.losses (module) lumin.nn.losses.basic_weighted (module) lumin.nn.losses.hep_losses (module) lumin.nn.metrics (module) lumin.nn.metrics.class_eval (module) lumin.nn.metrics.eval_metric (module) lumin.nn.metrics.reg_eval (module) lumin.nn.models (module) lumin.nn.models.blocks (module) lumin.nn.models.blocks.body (module) lumin.nn.models.blocks.conv_blocks (module) lumin.nn.models.blocks.endcap (module) lumin.nn.models.blocks.head (module) lumin.nn.models.blocks.tail (module) lumin.nn.models.helpers (module) lumin.nn.models.initialisations (module) lumin.nn.models.layers (module) lumin.nn.models.layers.activations (module) lumin.nn.models.model (module) lumin.nn.models.model_builder (module) lumin.nn.training (module) lumin.optimisation (module) lumin.optimisation.features (module) lumin.optimisation.hyper_param (module) lumin.optimisation.threshold (module) lumin.plotting (module) lumin.plotting.data_viewing (module) lumin.plotting.interpretation (module) lumin.plotting.plot_settings (module) lumin.plotting.results (module) lumin.plotting.training (module) lumin.utils (module) lumin.utils.data (module) lumin.utils.misc (module) lumin.utils.multiprocessing (module) lumin.utils.statistics (module) lumin.version (module) M Model (class in lumin.nn.models.model) ModelBuilder (class in lumin.nn.models.model_builder) mp_run() (in module lumin.utils.multiprocessing) MultiAMS (class in lumin.nn.metrics.class_eval) MultiBlock (class in lumin.nn.models.blocks.body) MultiHead (class in lumin.nn.models.blocks.head) O on_backwards_end() (lumin.nn.callbacks.loss_callbacks.GradClip method) on_batch_begin() (lumin.nn.callbacks.cyclic_callbacks.AbsCyclicCallback method) (lumin.nn.callbacks.cyclic_callbacks.CycleLR method) (lumin.nn.callbacks.cyclic_callbacks.CycleMom method) (lumin.nn.callbacks.cyclic_callbacks.OneCycle method) on_batch_end() (lumin.nn.callbacks.cyclic_callbacks.AbsCyclicCallback method) (lumin.nn.callbacks.opt_callbacks.LRFinder method) on_epoch_begin() (lumin.nn.callbacks.cyclic_callbacks.AbsCyclicCallback method) (lumin.nn.callbacks.data_callbacks.BinaryLabelSmooth method) (lumin.nn.callbacks.data_callbacks.BootstrapResample method) (lumin.nn.callbacks.lsuv_init.LsuvInit method) (lumin.nn.callbacks.model_callbacks.SWA method) on_epoch_end() (lumin.nn.callbacks.model_callbacks.SWA method) on_eval_begin() (lumin.nn.callbacks.data_callbacks.BinaryLabelSmooth method) on_pred_begin() (lumin.nn.callbacks.data_callbacks.ParametrisedPrediction method) on_train_begin() (lumin.nn.callbacks.data_callbacks.BootstrapResample method) (lumin.nn.callbacks.data_callbacks.FeatureSubsample method) (lumin.nn.callbacks.lsuv_init.LsuvInit method) (lumin.nn.callbacks.model_callbacks.SWA method) (lumin.nn.callbacks.opt_callbacks.LRFinder method) on_train_end() (lumin.nn.callbacks.data_callbacks.SequentialReweight method) OneCycle (class in lumin.nn.callbacks.cyclic_callbacks) P ParametrisedPrediction (class in lumin.nn.callbacks.data_callbacks) plot() (lumin.nn.callbacks.cyclic_callbacks.AbsCyclicCallback method) (lumin.nn.callbacks.cyclic_callbacks.OneCycle method) (lumin.nn.callbacks.opt_callbacks.LRFinder method) plot_1d_partial_dependence() (in module lumin.plotting.interpretation) plot_2d_partial_dependence() (in module lumin.plotting.interpretation) plot_binary_class_pred() (in module lumin.plotting.results) plot_bottleneck_weighted_inputs() (in module lumin.plotting.interpretation) plot_embedding() (in module lumin.plotting.interpretation) plot_embeds() (lumin.nn.models.blocks.head.CatEmbHead method) plot_feat() (in module lumin.plotting.data_viewing) plot_importance() (in module lumin.plotting.interpretation) plot_kdes_from_bs() (in module lumin.plotting.data_viewing) plot_lr() (lumin.nn.callbacks.opt_callbacks.LRFinder method) plot_lr_finders() (in module lumin.plotting.training) plot_multibody_weighted_outputs() (in module lumin.plotting.interpretation) plot_rank_order_dendrogram() (in module lumin.plotting.data_viewing) plot_roc() (in module lumin.plotting.results) plot_sample_pred() (in module lumin.plotting.results) plot_train_history() (in module lumin.plotting.training) PlotSettings (class in lumin.plotting.plot_settings) predict() (lumin.nn.ensemble.ensemble.Ensemble method) (lumin.nn.models.blocks.endcap.AbsEndcap method) (lumin.nn.models.model.Model method) predict_array() (lumin.nn.ensemble.ensemble.Ensemble method) (lumin.nn.models.model.Model method) predict_folds() (lumin.nn.ensemble.ensemble.Ensemble method) (lumin.nn.models.model.Model method) proc_cats() (in module lumin.data_processing.pre_proc) proc_event() (in module lumin.data_processing.hep_proc) R RecurrentHead (class in lumin.nn.models.blocks.head) RegAsProxyPull (class in lumin.nn.metrics.reg_eval) RegPull (class in lumin.nn.metrics.reg_eval) remove() (lumin.utils.misc.FowardHook method) repeated_rf_rank_features() (in module lumin.optimisation.features) Res1DBlock (class in lumin.nn.models.blocks.conv_blocks) ResNeXt1DBlock (class in lumin.nn.models.blocks.conv_blocks) rf_check_feat_removal() (in module lumin.optimisation.features) rf_rank_features() (in module lumin.optimisation.features) S save() (lumin.nn.ensemble.ensemble.Ensemble method) (lumin.nn.models.model.Model method) save_embeds() (lumin.nn.models.blocks.head.CatEmbHead method) save_fold_pred() (lumin.nn.data.fold_yielder.FoldYielder method) save_to_grp() (in module lumin.data_processing.file_proc) SequentialReweight (class in lumin.nn.callbacks.data_callbacks) SequentialReweightClasses (class in lumin.nn.callbacks.data_callbacks) set_cyclic_callback() (lumin.nn.callbacks.model_callbacks.AbsModelCallback method) set_input_mask() (lumin.nn.models.model.Model method) set_layers() (lumin.nn.models.blocks.conv_blocks.Conv1DBlock method) (lumin.nn.models.blocks.conv_blocks.Res1DBlock method) (lumin.nn.models.blocks.conv_blocks.ResNeXt1DBlock method) set_lr() (lumin.nn.models.model.Model method) (lumin.nn.models.model_builder.ModelBuilder method) set_model() (lumin.nn.callbacks.callback.Callback method) set_mom() (lumin.nn.models.model.Model method) set_nb() (lumin.nn.callbacks.cyclic_callbacks.AbsCyclicCallback method) set_plot_settings() (lumin.nn.callbacks.callback.Callback method) set_val_fold() (lumin.nn.callbacks.model_callbacks.AbsModelCallback method) set_weights() (lumin.nn.models.model.Model method) SignificanceLoss (class in lumin.nn.losses.hep_losses) str2bool() (in module lumin.utils.misc) str2sz() (lumin.plotting.plot_settings.PlotSettings method) subsample_df() (in module lumin.utils.misc) SWA (class in lumin.nn.callbacks.model_callbacks) Swish (class in lumin.nn.models.layers.activations) T to_binary_class() (in module lumin.utils.misc) to_cartesian() (in module lumin.data_processing.hep_proc) to_device() (in module lumin.utils.misc) to_np() (in module lumin.utils.misc) to_pt_eta_phi() (in module lumin.data_processing.hep_proc) to_tensor() (in module lumin.utils.misc) twist() (in module lumin.data_processing.hep_proc) U uncert_round() (in module lumin.utils.statistics) W WeightedCCE (class in lumin.nn.losses.basic_weighted) WeightedMAE (class in lumin.nn.losses.basic_weighted) WeightedMSE (class in lumin.nn.losses.basic_weighted)