This automator installation package will install recent SVN builds of Numpy (1.1) and Scipy (0.7), as well as Matplotlib (0.98), iPython (0.8.3) and PyMC (2.0 beta) for OS X 10.5 (Leopard) on Intel Macintosh.
This library provides Python functions for agglomerative clustering. Its features include * generating hierarchical clusters from distance matrices * computing distance matrices from observation vectors * computing statistics on clusters *
mat files contain data saved in Matlab's proprietary format. How to read these files in Python depends on the version of Matlab used to save them, up to 7.1 or greater. Here are exemples of how to read two variables lat and lon from a mat file called "test.mat".
This is code implements the example given in pages 11-15 of An Introduction to the Kalman Filter by Greg Welch and Gary Bishop, University of North Carolina at Chapel Hill, Department of Computer Science.
News: all of the few remaining calls to scipy have been replaced with calls to numpy. Versions 0.1.8 and above do not require scipy as a dependency. Introduction This library provides Python functions for agglomerative clustering. Its features include * generating hierarchical clusters from distance matrices * computing distance matrices from observation vectors * computing statistics on clusters * cutting linkages to generate flat clusters * and visualizing clusters with dendrograms. The interface is very similar to MATLAB's Statistics Toolbox API to make code easier to port from MATLAB to Python/Numpy. The core implementation of this library is in C for efficiency.
Elefant (Efficient Learning, Large-scale Inference, and Optimisation Toolkit) is an open source library for machine learning licensed under the Mozilla Public License (MPL). We develop an open source machine learning toolkit which provides