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Contents:

  • Loss functions
  • Search data structures
  • Matching functions
  • Evaluation Metrics
  • Dataset and Database Loaders
  • Utility functions
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Welcome to radbm’s documentation!¶

Rapid Access Database Benchmarks is a continually evolving package with the mission of evaluating the pros and cons of state-of-the-art approaches in the field of Search Data Structure Learning (SDSL).

The main metric for evaluation is the Total Work Ratio (TCR).

Contents:

  • Loss functions
    • Binary classification losses
    • Binary vectors matching losses
  • Search data structures
    • Basic search Data structures
    • Binary-based data structures
    • Superset search data structure
    • Search data structure reduction
    • Creating custom data structures
  • Matching functions
    • Bernoulli
  • Evaluation Metrics
    • Searching
    • Ranking
    • Spatial
  • Dataset and Database Loaders
    • Conjunctive Boolean RSS
    • Creating custom database loaders
  • Utility functions
    • Generators
    • Additional features for numpy
    • Additional features for pytorch
    • Probability and statistics
    • Others

Indices and tables¶

  • Index
  • Module Index
  • Search Page
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© Copyright 2020, Mathieu Duchesneau Revision df01d355.

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