Releases: lauerfab/MLweb
1.3 Release
1.2 Release
This release introduces more lightweight Modules that allow the use of MLweb in web pages without polluting the global scope.
1.1 Release
This release includes the following updates:
- Add gaxpy() and documentation on in-place operations
- Add loo() function to Classifier and Regression models
- New contributed toolbox for RNN
- Minor fixes
First stable release
This release includes the following changes:
- Faster LeastSquares and RidgeRegression with conjugate gradient method
- LeastSquares now works also with sparse X
- Faster thin SVD for tall matrices
- Fix load data file in LALOLab
- Add examples in LALOLab
Sixth release on MLOSS.org
Add support for complex numbers, vectors and matrices
Add basic signal processing (discrete Fourier transform, sound())
Add quadratic discriminant analysis
Faster Cholesky factorization
Fifth release on MLOSS.org
Optimize use of kernel cache in MSVM.tune()
A few other speed-ups (for spectral clustering, eigs, ...)
Add colormap() to Lalolab for colormap plots
Changes in some examples
Minor bug fixes (including plots in IE)
Fourth release on MLOSS.org
Add Logistic Regression
Add support for sparse input in fast training of linear SVM
Better support for sparse vectors/matrices (min,max,norminf, apply, spdiag... )
Minor bug fixes
Third release on MLOSS.org
Improve NaiveBayes classifier
Add online training functions for KNN and NaiveBayes
Fix save/load workspace in LALOLab
Second update on MLOSS.org
Add an automatic Regression method (AutoReg) selecting the best model
Improved efficiency for linear algebra and KRR, SVM and SVR predictions
First release of MLweb
v0.1.1 cosmetic changes