Oh I'm inclined to say this isn't a bug then. Your residuals can
simply be low enough to trigger early stopping this way. Although I
agree the warning could be improved.
However, if it IS the case that plugging in 32bit X and 64bit y leads
to *different results* than if both have the same dtype (a
I don't think we have any model dedicated to this, but it's possible
that expressive non-parametricmodels such as RF and GBRT or richly
parameterized models such as MLP with a regression loss can do a good
enough job at giving you a point estimate.
--
Olivier
_
Does scikit provide any event-rate/time-to-event models, or other models
that are specifically time-dependent? (e.g. models that output the # events
per unit of time)
Examples might include: Poisson model, or Cox proportional hazard.
There was some discussion about pulling from statsmodels,
htt
You should check gsoc-gene...@python.org. There have been questions
about scikit-learn participation in GSoC this year.
best Max
On 02/17/2017 07:12 PM, Jeffrey Levesque via scikit-learn wrote:
My project has applied for the Google Summer of Code 2017:
- https://github.com/jeff1evesque/machi
My project has applied for the Google Summer of Code 2017:
- https://github.com/jeff1evesque/machine-learning
The project is intended to be an interface to the scikit-learn utilities. This
means a visualization HTML interface, as well as a programmatic interface (send
post requests to the serv
Are we having any plans to take part in GSOC this year?
If so then I would like to apply this year.
Thanks
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PyDataLondon 2017 runs in London this May 5-7th at Bloomberg's HQ near
London Bridge.
Our Call for Proposals is open until February 24th (next Friday), and
I'd love to see
sklearn talks and tutorial proposals:
http://pydata.org/london2017/
This is our 4th annual conference, we'll have 330 active
While trying to get a minimal example to reproduce the error I found
that there it also occurred when both arrays where float64. However, I
then realized that my data vector has fairly small values (~1e-4 to
1e-8). If I normalize this as well it works for all combinations of 64
and 32 bit.
-B
