That doesn't mean you should try, though ;)
I believe Andy meant that it doesn't mean you *shouldn't* try :)
--
Symantec Endpoint Protection 12 positioned as A LEADER in The Forrester
Wave(TM): Endpoint Security, Q1
Hi
I want to run some classification and I have some variables which are
string, I do not need a bag of words vectorizer, just a simple 10
categories into 10 columns transformation. How do I do that.
BTW thanks to Andreas and Oliver for tutorial last night.
Dirk
--
http://twitter.com/dirknbr
Evening Dear Developers!
I'm peculiarly getting an error while using AdaBoostClassifier with
GaussianNB() as a a base estimator.
These are my commands
*In [65]: gnb = GaussianNB()**
**In [66]: bdt = AdaBoostClassifier(gnb,n_estimators=100)**
**In [67]: bdt.fit(X,y)*
I get the following
2013/3/8 Dirk Nachbar dirk...@gmail.com:
I want to run some classification and I have some variables which are
string, I do not need a bag of words vectorizer, just a simple 10 categories
into 10 columns transformation. How do I do that.
Use a DictVectorizer:
Issam,
currently, GaussianNB does not support sample weights thus it cannot
be used w/ Adaboost.
In Weka, if a classifier does not support sample weights they fall
back to data set re-sampling. We could implement this strategy as well
but it would not be very efficient due to the data structures
How do I make sure the dict is in the same order as my other data?
On 8 March 2013 10:38, Lars Buitinck l.j.buiti...@uva.nl wrote:
2013/3/8 Dirk Nachbar dirk...@gmail.com:
I want to run some classification and I have some variables which are
string, I do not need a bag of words vectorizer,
2013/3/8 Dirk Nachbar dirk...@gmail.com:
How do I make sure the dict is in the same order as my other data?
I'm not sure what you mean. The keys in a dict are unordered;
DictVectorizer is really a mapping from keys to column indices.
--
Lars Buitinck
Scientific programmer, ILPS
University of
Hey Andy,
I'm not entirely sure about modifying it - it gets put in at line 206 of
layout.html by basically just getting the
'toc' code from, I assume, the layout.html file within the
main sphinx/themes/basic.. or at least somewhere around there. What do you
want to change there? Removing it is
Hey All,
I am trying to make some changes to the Random Forest (mainly
diagnostics to try some new stuff).
However cython is giving me a really hard time here. I tried recompiling
only the local changes (_tree.pyx - _tree.c) and that is working as
long as I do not change the C-signature of
2013/3/8 Kevin Kunzmann kevinkunzm...@gmx.net:
However cython is giving me a really hard time here. I tried recompiling
only the local changes (_tree.pyx - _tree.c) and that is working as
long as I do not change the C-signature of any classes defined in
_tree.pxd (ValueError: ***, try
I want to have a non-empty menu for the user guide. the template just uses the
build in toc variable. there is also a toc_tree function but that gives the
whole toc tree, not just below the current page. I think I know how to get what
i want in rst but i have no idea how to tell sphinx to
My guess is that you'd have to tweak around in
doc/themes/scikit-learn/layout.html
Basically, if you want that something must be in the side bar or header or
what-not, you have to
use the html and jenga within the mentioned file. You could for example say
{%- if (pagename == 'user_guide') %}
Hey Lars,
so nobody ever uses 'make cython'? You just fiddle with the .pyx/.pxd
that you need for a specific change, fix any issues locally and for a
release only the .c files must compile as a whole? I assumed 'make
cython' to be working out of the box in the release versions, guess that
2013/3/8 Kevin Kunzmann kevinkunzm...@gmx.net:
so nobody ever uses 'make cython'? You just fiddle with the .pyx/.pxd
that you need for a specific change, fix any issues locally and for a
release only the .c files must compile as a whole? I assumed 'make
cython' to be working out of the box in
Ronnie,
I apologize for not supplying the code or data. I have figured a workaround
for the problem. I broke the huge set (A) into smaller sets of equal size
(A1, A2, A3). And it works like a charm. Thank you for taking an
interest in my problem.
Thanks and Regards
Abhi
On Thu, Mar 7, 2013
Hello !
I am wondering if someone has developed a snippet or a script that converts
libsvm format into a format directly usable by scikit without the need to use
of load_svmlight_file.
The reason is that I am trying to use the examples provided on the website, but
all of them are written in a
Hi everyone,
I am Chinmay Naik, an undergraduate at Bangalore Institute of Technology,
Bangalore.
I sincerely hope that scikit-learn will be participating in Gsoc-2013. I
would love to contribute to scikit-learn through Gsoc-13.
From the proposed ideas list of Gsoc-12 and after looking up the
Why do you want to convert libsvm to another structure?
I don't quite get it.
If you want to use examples: scikit learn has included datasets that can
be directly loaded. I think this section should help:
http://scikit-learn.org/stable/datasets/index.html
Am 08.03.2013 18:44, schrieb Mohamed
Simply because I am new to both python and scikit (Coming from R world)
The problem is that I tried using load_svmlight_file with in particular RBF
parameters example
http://scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html#example-svm-plot-rbf-parameters-py
and I get a lot of
That uses the Boolean indexing function of numpy arrays iirc
On Mar 8, 2013 1:28 PM, Mohamed Radhouane Aniba arad...@gmail.com wrote:
Simply because I am new to both python and scikit (Coming from R world)
The problem is that I tried using load_svmlight_file with in particular
RBF parameters
Suppose you have
x = np.array([1, 2, 3, 4])
Then
x 2 = [False, False, True, True]
Using boolean indexing
x[x 2] = [3, 4]
--
Flavio
On Fri, Mar 8, 2013 at 4:41 PM, Ronnie Ghose ronnie.gh...@gmail.com wrote:
That uses the Boolean indexing function of numpy arrays iirc
On Mar 8, 2013 1:28
Thank you guys it makes more sense now.
I slightly changed the code to fit my data ( I have 6 features)
I got then an error message saying :
File plot_rbf_parameters.py, line 109, in module
Z = clf.decision_function(np.c_[xx.ravel(), yy.ravel()])
File
X_2d = X[:, :6] if the data is formatted correctly. Its rows by cols and
then slicing. The numpy docs should help
On Mar 8, 2013 3:12 PM, Mohamed Radhouane Aniba arad...@gmail.com wrote:
Thank you guys it makes more sense now.
I slightly changed the code to fit my data ( I have 6 features)
I
Ronnie,
This is exactly what I did and that's what shows in the error message saying
X.shape[1] = 2 should be equal to 6, the number of features at training time
The training was made successfully, best parameters sent to output successfully
but then I think it is a bug when rendering the
could you by chance upload a part of your data if not all of it / a
representation or the like?
On Fri, Mar 8, 2013 at 3:21 PM, Mohamed Radhouane Aniba
arad...@gmail.comwrote:
Ronnie,
This is exactly what I did and that's what shows in the error message
saying X.shape[1] = 2 should be equal
Sorry for the format but this is what it looks like
-1 1:0.0256992 2:0.89 3:16.2094 4:3.17376 5:1.03704 6:0.161745
-1 1:0.0382503 2:7.159 3:44.5586 4:65.4716 5:24.0289 6:0.168695
1 1:0.0908366 2:10.2772 3:8.25109 4:31.2472 5:47.3532 6:0.163662
-1 1:0.0158669 2:1.87153 3:8.5248 4:2.775
On 9 March 2013 04:53, chinmay naik chin.nai...@gmail.com wrote:
Hi everyone,
I am Chinmay Naik, an undergraduate at Bangalore Institute of Technology,
Bangalore.
I sincerely hope that scikit-learn will be participating in Gsoc-2013. I
would love to contribute to scikit-learn through
Hello,
To maximize the chances to get accepted, it is very important that you
start contributing to the project as soon as possible. It is actually
a requirement but it will also allow us to know you. Try to send us a
few pull requests, even if it's just for fixing small issues
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