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.

• Array.zip/unzip

• 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.