1. Overview
  2. Docs

Version 0.0.7 (2017-02-21):

  • Reworked separation of library in Oml (OCaml only) and Oml_full
    (includes C/Fortran source links), such that the former is a
    functional (types and modules work together) subset of the latter.

  • Split up the various interfaces and changed some type names
    used to describe classification and regression.

  • Implemented discrete KL divergence.

Version 0.0.6 (2016-08-19):

  • Alias method for sampling from Categorical distribution and
    correcting multinomial to categorical (Sergei Lebedev @superbobry).

  • Create build for Oml_lite.

  • Remove the joiner tool to rely exclusively on Ocamlbuild.

  • Median and Mean absolute deviation.

  • Cosine distance.

  • Classification via linear (and Quadratic) discriminant analysis.

  • Benford's law (Carmelo Piccione @structured).

Version 0.0.5 (2016-02-03):

  • Refine Logistic Regression to tune gradient calculation in L-BFGS.

    • Changed to a more general softmax algorithm.

    • Split apart binary vs multiclass.

    • MNIST training script.

  • Finish exposing regression capabilities.

    • Coefficient test and stastics.

  • Add Dirichlet.

  • Running -> Online now functorized.

  • Move datasets out of Oml

  • Hierarchical reorganization into 6 principal packs.

    • Cleaned up the 'optional' argument logic, now all of these
      types are contained in the module/functor that uses them.

    • Build system changed for testing and documentation logic.
      No more joiner. mli's are custom generated for subpacks.

Version 0.0.3 (2015-10-14):

  • Clarify the Regression interface with Optional_arg_intf.

  • Add Cubic spline interpolation.


  • fst3,snd3,thr3

Version 0.0.2 (2015-09-09):

  • Clean up the Classify API via a functor.

  • Clean up test suite to use bounded floats and
    have a simpler testing framework.

  • Add bisection method.

Version 0.0.1 (2015-08-06):

  • First public release: ready for other people to start hacking.