Added
- Distance metric learning algorithms: PCA, LDA, ANMM, NCA, LMNN, NCMML, NCMC, ITML, DMLMJ, MCML, LSI, DML-eig, LDML, KLMNN, KANMM, KDMLMJ and KDA.
- Interfaces por Euclidean, Metric and Transformer distances as a distance metric learning algorithm.
- Distance-based classifiers, adapted to distance metric learning algorithms: kNN, NCMC_Classifier and MultiDML\_kNN.
- Plotting framework for classifiers and distance metric learning algorithms.
- Tune framework for parameter estimation.
- Readme file, sphinx docs and installation setup.
[Unreleased]: https://github.com/jlsuarezdiaz/pyDML/compare/v0.1.0...HEAD