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 <t3k...@gmail.com> wrote:

> 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 the multi-core support on LDA if it usually makes the
> runtime longer: https://github.com/scikit-learn/scikit-learn/issues/5118
> There are random segfaults in sparse PCA:
> https://github.com/scikit-learn/scikit-learn/issues/5013
> We might want to put a warning into PLS if our results are still not
> consistent with reference implementations:
> https://github.com/scikit-learn/scikit-learn/issues/2821
> We use 3.5 deprecated inspection:
> https://github.com/scikit-learn/scikit-learn/issues/5281
> There seem to be bugs in SGD
> https://github.com/scikit-learn/scikit-learn/issues/5246
> and Naive Bayes https://github.com/scikit-learn/scikit-learn/issues/5136
> that could be easily fixed.
>
> There are some near-ready PRs:
>
> https://github.com/scikit-learn/scikit-learn/pulls?q=is%3Aopen+is%3Apr+milestone%3A0.17
> The pipeline inverse_transform 1d thing should be deprecated:
> https://github.com/scikit-learn/scikit-learn/pull/5065 [this needs a
> two-line fix]
> We should value error if someone gives floats to a classifier:
> https://github.com/scikit-learn/scikit-learn/pull/5084
>
> I'll try to get to some of the easy fixes / bugs this week, but I'm
> still catching up on email.
>
> Andy
>
> On 09/21/2015 04:43 AM, Gilles Louppe wrote:
> > 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 <olivier.gri...@ensta.org>
> wrote:
> >> Hi all,
> >>
> >> It's been a while since we have not made a release. I plan to cut the
> >> 0.17.X branch to prepare a first beta next week. Then 2 weeks after
> >> that we can release either a new beta or the final 0.17.0 based on
> >> feedback and if there is no identified blocker or major regression
> >> from 0.16.1.
> >>
> >> I would like the following to get in for the release to make it easier
> >> for people who experiment the multiprocessing crash under OSX (they
> >> would just have to use Python 3.4 to get rid of the crash):
> >>
> >> https://github.com/scikit-learn/scikit-learn/pull/5199
> >>
> >> Andreas also raised that as 0.17 will be the first release to include
> >> Latent Dirichlet Allocation, we should rename the sklearn.lda package
> >> and models to emphasize they are about Linear Discriminant Analysis to
> >> avoid confusion. This was attempted in
> >> https://github.com/scikit-learn/scikit-learn/pull/4421 but work is
> >> needed to rebase the renaming on the current state of master. I can do
> >> that if nobody does it in the mean time.
> >>
> >> There are other maintenance PRs that I would like to see part of this
> >> release such as:
> >>
> >> https://github.com/scikit-learn/scikit-learn/pull/5152
> >>
> >> Small bug fixes tagged with
> >> https://github.com/scikit-learn/scikit-learn/milestones/0.17 can be
> >> back-ported into the future 0.17.X branch to make it into the final
> >> 0.17.0 release.
> >>
> >> Le me know if you have any comment on this release process.
> >>
> >> Best,
> >>
> >> --
> >> Olivier
> >> http://twitter.com/ogrisel - http://github.com/ogrisel
> >>
> >>
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