LossFunctions.jl
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  • Getting Started
    • Installation
    • Overview
    • Getting Help
  • Background and Motivation
    • Terminology
    • Definitions
    • Alternative Viewpoints
  • Working with Losses
    • Instantiating a Loss
    • Computing the Values
    • Computing the 1st Derivatives
    • Computing the 2nd Derivatives
    • Function Closures
    • Properties of a Loss
  • Efficient Sum and Mean
    • Average Modes
    • Unweighted Sum and Mean
    • Sum and Mean per Observation
    • Weighted Sum and Mean
  • Distance-based Losses
    • LPDistLoss
    • L1DistLoss
    • L2DistLoss
    • LogitDistLoss
    • HuberLoss
    • L1EpsilonInsLoss
    • L2EpsilonInsLoss
    • PeriodicLoss
    • QuantileLoss
  • Margin-based Losses
    • ZeroOneLoss
    • PerceptronLoss
    • L1HingeLoss
    • SmoothedL1HingeLoss
    • ModifiedHuberLoss
    • DWDMarginLoss
    • L2MarginLoss
    • L2HingeLoss
    • LogitMarginLoss
    • ExpLoss
    • SigmoidLoss
  • Developer Documentation
    • Abstract Superclasses
    • Shared Interface
    • Shared Interface
    • Regression vs Classification
    • Deviations from Literature
    • Writing Tests
  • Acknowledgements
    • References
  • LICENSE
 
LossFunctions.jl
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© Copyright 2016, Christof Stocker, Tom Breloff, Alex Williams, and others. Revision a4d46a06.

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