On Wed, Feb 26, 2014 at 01:29:43PM +0100, Lars Buitinck wrote: > I recently implemented baseline RBF networks in pretty much the same > way: k-means + RBF kernel + linear classifier. I didn't submit a PR > because it's just a pipeline of existing components.
All your points about transformers and pipelines are true and good points. Part of the work for 'deep learning' in scikit-learn is documentation and example to exihibit these patterns better. G ------------------------------------------------------------------------------ Flow-based real-time traffic analytics software. Cisco certified tool. Monitor traffic, SLAs, QoS, Medianet, WAAS etc. with NetFlow Analyzer Customize your own dashboards, set traffic alerts and generate reports. Network behavioral analysis & security monitoring. All-in-one tool. http://pubads.g.doubleclick.net/gampad/clk?id=126839071&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
