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LossFunctions.jl
  • Introduction
    • Getting Started
    • Background and Motivation
  • User's Guide
    • Working with Losses
    • Efficient Sum and Mean
  • Available Losses
    • Distance-based Losses
    • Margin-based Losses
    • Other Losses
  • Advances Topics
    • Altering existing Losses
    • Developer Documentation
  • Acknowledgements
    • References
  • LICENSE
Version
  • Acknowledgements
  • Acknowledgements
Edit on GitHub

Acknowledgements

The basic design of this package is heavily modelled after the loss-related definitions in [STEINWART2008].

We would also like to mention that some early inspiration was drawn from EmpiricalRisks.jl

References

  • STEINWART2008Steinwart, Ingo, and Andreas Christmann. "Support vector machines". Springer Science & Business Media, 2008.
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