Created attachment 277739 [details] mlpy-2.2.2.ebuild Machine Learning PYthon (mlpy) is a high-performance Python library for predictive modeling. mlpy makes extensive use of NumPy to provide fast N-dimensional array manipulation and easy integration of C code. The GNU Scientific Library ( GSL) is also required. It provides high level procedures that support, with few lines of code, the design of rich Data Analysis Protocols (DAPs) for preprocessing, clustering, predictive classification, regression and feature selection. Methods are available for feature weighting and ranking, data resampling, error evaluation and experiment landscaping. mlpy includes: SVM (Support Vector Machine), KNN (K Nearest Neighbor), FDA, SRDA, PDA, DLDA (Fisher, Spectral Regression, Penalized, Diagonal Linear Discriminant Analysis) for classification and feature weighting, I-RELIEF, DWT and FSSun for feature weighting, *RFE (Recursive Feature Elimination) and RFS (Recursive Forward Selection) for feature ranking, OLS, (Kernel) Ridge Regression, LASSO, LARS, Gradient Descent for Regression, Elastic Net, DWT, UWT, CWT (Discrete, Undecimated, Continuous Wavelet Transform), KNN imputing, DTW (Dynamic Time Warping), Hierarchical Clustering, k-medoids, k-means, Resampling Methods, Metric Functions, Canberra indicators.
Created attachment 277741 [details, diff] mlpy-2.2.2-setup.patch A patch fixing the broken NumPy includes in 'setup.py' script.
Created attachment 311969 [details] mlpy-3.3.0.ebuild
Created attachment 311971 [details] mlpy-3.3.0-setup.patch
Created attachment 311979 [details] mlpy-3.5.0.ebuild Version 3.5.0 ------------- New features: * LibSvm(): pred_probability() now returns probability estimates; pred_values() * LibLinear(): pred_values() and pred_probability() added * dtw_std: squared Euclidean option added * LCS for series composed by real values (lcs_real()) added * Documentation Fix: * wavelet submodule: cwt(): it returned only real values in morlet and poul * IRelief(): remove np. in learn() * fix rfe_kfda and rfe_w2 when p=1 Version 3.4.0 ------------- New features: * Standard DTW added * Subsequence DTW added * Standard LCS added Fix: * LibSvm: fix error when x is a list in learn() method * fix code for vc++. * fix setup.py (cblas)
Created attachment 311981 [details] mlpy-3.5.0-setup.patch
has been in cvs for a while
