Re: [Scikit-learn-general] Preparing the 0.17 release

The list is currently pretty long: https://github.com/scikit-learn/scikit-learn/issues?q=is%3Aopen+is%3Aissue+milestone%3A0.17 I'd like to clean up the run of the test-suite. There are currently many deprecation warnings: https://github.com/scikit-learn/scikit-learn/issues/5089 We should remove

Re: [Scikit-learn-general] passing optional parameters to fit() when using a pipeline

This is something I have wanted to fix for a while, and which I'll do after the release and after the model_selection refactoring is merged. On 09/20/2015 05:02 PM, Artem wrote: You can't get validation part of current CV split in estimator either way. On Sun, Sep 20, 2015 at 10:11 PM, okek

Re: [Scikit-learn-general] Preparing the 0.17 release

And anyone looking for a small contribution to make could take on https://github.com/scikit-learn/scikit-learn/issues/5281 On 22 September 2015 at 10:24, Andreas Mueller wrote: > The list is currently pretty long: > >

Re: [Scikit-learn-general] passing optional parameters to fit() when using a pipeline

Great. Thanks. On Mon, Sep 21, 2015 at 8:16 PM, Andreas Mueller wrote: > This is something I have wanted to fix for a while, and which I'll do > after the release and after the model_selection refactoring is merged. > > > > On 09/20/2015 05:02 PM, Artem wrote: > > You can't

[Scikit-learn-general] why does AdaBoostClassifier with algorithm SAMME.R gives estimator_weights all equal to 1

Hi, I test the example in http://scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html and I found that if the pramater "algorithm" have value "SAMME" then the estimator_weights have float value betweeen 0 and 1, but when "algorithm" have value "SAMME.R" then the

[Scikit-learn-general] Getting started

Hello guys, I am new to opensource and scikit-learn community. I have a good programming experience in C++, Python and in areas like Machine Learning and Image processing but I'm having a hard time starting up and looking for issues to work on. Could anyone please help me getting started. Thanks

[Scikit-learn-general] partial_fit in scikit learn is throwing an error for a constant label set

On training with a partial_fit function in scikit learn I get the following error without the program terminating , how is that possible and what are the repurcussions of this even though the trained model behaves correctly and gives correct output. Is this something to worry about?

[Scikit-learn-general] Trimming BallTree? (delete points)

Hello, Is there a way to remove points from a BallTree or KDtree object? Alternatively, does anyone know of an Rtree implementation in either sklearn, or a sklearn dependency such as scipy or numpy? I have pending pull request (#1984) that has run time mainly constrained by nearest neighbor

Re: [Scikit-learn-general] Preparing the 0.17 release

Hi Olivier, It seems the 3 PRs you mentioned are now closed/merged. Are there other blocking PRs you need us to look at before freezing for the release? Cheers, Gilles On 4 September 2015 at 12:16, Olivier Grisel wrote: > Hi all, > > It's been a while since we have