Bhargav Srinivasa Desikan
Bhargav Srinivasa Desikan
Really looking forward to the faster release, @piskvorky @Sharganov ! Great job!
Hello @amirsani, not on the immediate list but it would be a welcome addition! There is definitely room for parallelisation, both with training multiple machines/predictors and also in the aggregation...
Sure - just keeping the issue open so that it is more visible!
Hello, any tips or further documentation on how to go about doing this? And which one of these would be highest priority?
Thanks for all the details! The paper by Xing, et al is I think the most popular (and one of the first in Metric Learning) algorithm/paper among the list, I'll...
Hello, just wanted to know where the short form PGDM came up - I can't seem to find it in the paper linked (which is the paper just called "Distance...
In the process of adding `coveralls` - and just fixed the test to make sure the warning doesn't occur. Almost all the prediction and diagnostic methods are tested, though I've...
Hello @GaelVaroquaux , any updates on what more you would like to see done to get `pycobra` included?
Hello @agramfort , since last July we've added more tests and `coveralls`. Large parts of the code are for visualisations (boxplots, QQ, and voronoi tessellations), so tests for this are...
Hello @agramfort , the documentation is over [here](https://bhargavvader.github.io). As for the example gallery, we're using Jupyter notebooks to serve as both documentation and an example gallery - the notebooks are...