I wonder if the Decision Tree base estimator could derive from a more general
base estimator for Random Forests and just, for example, override a setup
method or a constructor?
-Original Message-
From: Andreas
Date: Fri, 20 Jan 2012 22:53:40
To:
Reply-To: scikit-learn-general@lists.so
Hi Andy,
IIRC MNIST is 6 samples, each with dimension 28x28, so the 2GB limit
doesn't seem unreasonable (especially since you don't have all of that at your
disposal). Does the dataset fit in mem?
Brian
-Original Message-
From: Andreas
Date: Tue, 03 Jan 2012 09:00:47
To:
Reply-
Hi Denis,
My main motivation is mostly usability. In terms of development though, I've
only really worked on decision trees, so my comments are heavily influenced by
that experience.
Here are the three main reasons why I use scikit-learn:
Simplicity (taking the cue from Olivier). If you've s
I would have agreed if I was working on a machine with less memory: the server
has 144GB and I'm only using a few percent.
-Original Message-
From: Peter Prettenhofer
Date: Thu, 27 Oct 2011 12:20:40
To:
Reply-To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-ge
We wrestled with exactly this issue for decision trees, so its clear now that a
general solution would be very beneficial to scikit-learn.
-Original Message-
From: Andreas Mueller
Date: Fri, 07 Oct 2011 10:42:17
To:
Reply-To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Sci
+1
-Original Message-
From: Paolo Losi
Date: Thu, 29 Sep 2011 17:57:17
To:
Reply-To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] Unifying predict_proba,
predict_log_proba and decision_function
--
Is there any way that we can set up the buildbot to check for these errors
before we get to a release?
-Original Message-
From: josef.p...@gmail.com
Date: Sat, 24 Sep 2011 08:25:23
To:
Reply-To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] [scikit-learn
If we are going to redeploy the docs, then perhaps we could make a note on the
'work in progress' about Decision Trees, and that ensemble learners are in
planning!
-Original Message-
From: Mathieu Blondel
Date: Sat, 24 Sep 2011 14:03:57
To:
Reply-To: math...@mblondel.org, scikit-learn
>But then people will just copy the file and modify it to set n_jobs to
be greater, and then ask here why it doesn't work on Windows. It's a
teaching moment. Embrace it!
Yes and no. If I download sklearn on windows and the run make, it doesn't
finish the tests. To then tell me that I need to mod
One of the drawcards of using python is that it is relatively platform
independent - so windows users have a reasonable expectation that their code
will run.
Windows itself is not a problem - I've written many C++ programs using
boost::thread that work just fine on windows. Perhaps this require
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