0.0.1

Notes

  • Introduction
    • Overview
    • Hugging Face Quick Start
    • TrackML dataset
    • Folder structure
  • Installation
    • Required: Conda installation
    • Install environment
    • Initialize environment
    • GPU-support commands
    • Conda virtual environment commands
    • C-library versions
  • Training
    • Train Voxel-Dynamics graph constructor
    • Train neural GNN + Transformer model
    • Training parameters
    • Model hyperparameters
    • Ground truth graph topology
    • Progressive transfer learning
    • Learning rate
  • Inference
    • Main parameters
  • Documentation

Package Reference

  • hypertrack
    • hypertrack.auxtrain
      • backward()
      • execute()
      • load_models()
      • load_optimizers()
      • plot_gradient_flow()
      • plot_metrics()
      • save_models()
      • set_optimizer()
      • set_scheduler()
    • hypertrack.dmlp
      • MLP()
      • get_act()
    • hypertrack.faissknn
      • faisskNN
    • hypertrack.flows
      • ActNorm
      • BatchNormFlow
      • CouplingLayer
      • FlowSequential
      • InvertibleMM
      • LUInvertibleMM
      • Logit
      • MADE
      • MADESplit
      • MaskedLinear
      • Reverse
      • Shuffle
      • Sigmoid
      • get_mask()
    • hypertrack.hyper
      • clusterize()
      • hypertrack()
      • transformer_helper()
    • hypertrack.hyperaux
      • cluster_loss()
      • edge_loss()
      • loss_normalization()
    • hypertrack.iotools
      • construct_event_range()
      • get_gpu_memory_map()
      • grab_torch_file()
      • load_models()
      • process_memory_use()
      • showmem()
      • showmem_cuda()
      • sysinfo()
      • torch_cuda_total_memory()
    • hypertrack.losses
      • DiceLogitsLoss
      • FocalWithLogitsLoss
      • HingeLoss
      • JaccardLogitsLoss
      • SmoothHingeLoss
      • contrastive_edge_loss()
      • find_posneg_connections()
      • fisher_loss()
      • fisher_threshold()
      • intersect_loss()
    • hypertrack.measures
      • Metric
      • adjgraph_metrics()
      • compute_adj_metrics()
      • compute_metrics()
      • histedges_equal_N()
      • majority_score()
      • roc_curve()
      • true_false_positive()
    • hypertrack.ratioplot
      • create_axes()
      • plot_horizontal_line()
      • set_axis_ticks()
      • stepspace()
      • tick_calc()
      • tick_creator()
    • hypertrack.tools
      • Graph
      • adj2edges()
      • attach_fully_connected_node()
      • backtrack_linear_index()
      • closure_test_adj()
      • compute_ground_truth_A()
      • compute_hit_mixing()
      • compute_hyper()
      • count_hit_multiplicity()
      • count_reco_cluster()
      • create_cluster_ind()
      • create_cluster_labels()
      • create_edge_label()
      • edges2adj()
      • explicit_range()
      • find_connected_components()
      • normalize_cols()
      • normalize_rows()
      • print_clusters()
      • running_mean_uniform_filter1d()
      • select_valid()
      • span_adj_mat()
      • split()
      • split_size()
      • split_start_end()
      • timing()
      • track_minimal_spanning_tree()
      • value_and_uncertainty_scientific()
    • hypertrack.torchtools
      • count_parameters_torch()
      • fastcat_rand()
      • plot_grad_flow()
      • seperate_weight_param()
      • set_diff_1d()
      • set_random_seed()
      • subgraph_mask()
      • to_scipy_sparse_csr_matrix()
      • torch_intersect()
      • torch_to_scipy_scr()
      • weighted_degree()
    • hypertrack.trackml
      • generate_graph_data()
      • load_reduce_event()
      • process_data()
      • reduce_tracks()
    • hypertrack.transforms
      • transform_r_eta_phi()
    • hypertrack.visualize
      • ROC_plot()
      • annotate_heatmap()
      • compare_cluster_multiplicity()
      • compare_hit_multiplicity()
      • crf()
      • density_MVA_wclass()
      • hist_filled_error()
      • imperial_brown
      • plot_C_matrix()
      • plot_adj_matrices()
      • plot_mixing_matrix()
      • plot_tracks()
      • plot_voronoi()
      • ratioerr()
      • track_effiency_plots()
    • hypertrack.voxdyn
      • combine_data()
      • compute_A_direct()
      • compute_A_reverse()
      • compute_A_reverse_3pt()
      • compute_I_per_V()
      • faiss_to_gpu()
      • load_particle_data()
      • train_2pt_connectivity()
      • train_2pt_connectivity_sparse()
      • train_3pt_connectivity()
      • train_voxdyn()
      • voxdyn_predictor()
hypertrack
  • Python Module Index

Python Module Index

h
 
h
- hypertrack
    hypertrack.auxtrain
    hypertrack.dmlp
    hypertrack.faissknn
    hypertrack.flows
    hypertrack.hyper
    hypertrack.hyperaux
    hypertrack.iotools
    hypertrack.losses
    hypertrack.measures
    hypertrack.ratioplot
    hypertrack.tools
    hypertrack.torchtools
    hypertrack.trackml
    hypertrack.transforms
    hypertrack.visualize
    hypertrack.voxdyn

© Copyright 2023, Mikael Mieskolainen, I-X and Blackett Laboratory, Imperial College London.

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