My own opinion, after reading the link in the original message in this thread,
is to drop Python 2.6 support.
Perhaps Python Weekly and LWN will report on this to increase visibility.
As a follow-up, I'd like to point out
http://www.snarky.ca/why-python-3-exists
Dale Smith, Ph.D.
Ryan, did you try passing the arrays, as they are, to np.random.choice? Do you
get what you expect?
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-Original Message
completely foreseeable. And perhaps someone on the
numpy mailing list could help.
Dale Smith, Ph.D.
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I am studying Gilles Louppe's dissertation, which contains the best explanation
for various properties of tree methods. If you want to know more, I would start
here.
http://www.montefiore.ulg.ac.be/~glouppe/pdf/phd-thesis.pdf
Dale Smith, Ph.D.
Data Scientist
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worth having is whether there are any emerging best
practices in machine learning, statistics, etc.
Since conferences have parallel tracks, it's possible that participants can't
get to all talks of interest. Having these talks linked off the scikit-learn
web page would be quite va
ystem? Why or why not?
I haven't seen any of these issues addressed at all, but they are important
parts of properly applying machine learning.
Dale Smith, Ph.D.
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o a former
classmate of mine who is starting to teach statistical learning out of a
mathematics department.
Dale Smith, Ph.D.
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-Origin
, even with no one
else using a 100 gb 24 core Windows box.
I can create some reproducible code if anyone has time to work on it.
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Package sklearn_pmml appeared on github:
https://github.com/alex-pirozhenko/sklearn-pmml
It's still in the early stages. I have yet to experiment with it, and I don't
think it supports pmml import.
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Andreas,
I tried to compile the package on Windows and didn't succeed. I gave up since I
could not get the dependencies to compile.
Dale Smith, Ph.D.
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sklearn-compiledtrees is not usable on Windows without some work. I didn't have
time to get it to work.
Dale Smith, Ph.D.
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-Original Me
That is very interesting. Thanks.
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0:
ValueError: The truth value of an array with more than one element is ambiguous.
Use a.any() or a.all()
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test_metaestimators.py.
I also reviewed the Contributing section of the documentation, the wiki, and
searched the mailing list archive, but didn’t find anything relevant. Are there
any other sources I should review?
Dale Smith, Ph.D.
Data Scientist
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test_metaestimators.py.
I also reviewed the Contributing section of the documentation, the wiki, and
searched the mailing list archive, but didn’t find anything relevant. Are there
any other sources I should review?
Dale Smith, Ph.D.
Data Scientist
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-snippets
http://scikit-learn.org/stable/developers/index.html
But also review
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-Original Message-
From: Al [mailto:alain.pen
Hello, when can we expect a PDF version of the User’s Guide for 0.16.2?
https://sourceforge.net/projects/scikit-learn/files/documentation/
Thanks very much.
Dale Smith, Ph.D.
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use case?
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Apparently so; here is a python/cython implementation.
http://rare-technologies.com/deep-learning-with-word2vec-and-gensim/
Dale Smith, Ph.D.
Data Scientist
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nt. Please read
http://www.catb.org/esr/faqs/smart-questions.html
and read the user's guide on the scikit-learn web site. Perhaps you can find
the answer to your question there.
http://scikit-learn.org/stable/user_guide.html
Dale Smith, Ph.D.
Data Scientist
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ees as an evaluation tool is mentioned in
the paper
http://projecteuclid.org/euclid.ssu/1257431567
Free for download.
Dale Smith, Ph.D.
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.".format(n_trees))
forest.set_params(n_estimators=n_trees)
forest.set_params(n_jobs=10)
params = forest.get_params()
forest.fit(X, y)
error_rate.loc[i] = [n_trees, 1 - forest.oob_score_]
sns.lmplot('Number of Trees', 'OOB Error',
error_rate).savefig("test_w
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