package oml
Install
Dune Dependency
Authors
Maintainers
Sources
sha256=a84d38c74f8edf867ca9cb99415ea66320dc667fc012c071d60cb3a87205432d
md5=ce2b5241f66da5d25781dab2e07e6990
CHANGES.md.html
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.