Both pip and easy_installé build numpy and SciPy from source under linux.
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Hi Zoraida,
The Imputer assumes that your data is a numeric numpy array, or
convertible to one. You should replace your string "NA" values with
np.nan objects, then use the Imputer with the default,
`missing_values='NaN'`.
It's easier to debug if you explicitly convert your data to a float
numpy
Thanks a lot for your help. I will try with Anaconda.
If not with yum, I must have used easy_install or pip. I definitely did not
build it from source.
Thank you,
From: Sergio Pascual [mailto:sergio.pa...@gmail.com]
Sent: Thursday, September 25, 2014 12:33 PM
To: scikit-learn-general@lists.sou
2014-09-25 18:01 GMT+02:00 Pagliari, Roberto :
> Here is it is
>
>
>
> numpy-1.4.1-9.el6.x86_64
>
> package scipy is not installed
>
>
>
strangely it is saying scipy is not installed, but I did install it and I
> can import it in python..
>
>
>
So you installed scipy, but not from an RPM/yum. Som
On 09/25/2014 06:01 PM, Pagliari, Roberto wrote:
Here is it is
numpy-1.4.1-9.el6.x86_64
package scipy is not installed
strangely it is saying scipy is not installed, but I did install it
and I can import it in python..
That is why I asked how you installed scipy and to import it ;)
You ca
Here is it is
numpy-1.4.1-9.el6.x86_64
package scipy is not installed
strangely it is saying scipy is not installed, but I did install it and I can
import it in python..
From: Sergio Pascual [mailto:sergio.pa...@gmail.com]
Sent: Thursday, September 25, 2014 11:46 AM
To: scikit-learn-general@li
I did not know I could do
clf.best_estimator_.feature_importances_
if it works, that's what I was looking for.. :)
thank you,
-Original Message-
From: Andy [mailto:t3k...@gmail.com]
Sent: Thursday, September 25, 2014 11:38 AM
To: scikit-learn-general@lists.sourceforge.net
Subject: Re
2014-09-25 17:17 GMT+02:00 Pagliari, Roberto :
> Sorry, I've got 0.14 and in fact the following warning
>
> UserWarning: Numpy 1.5.1 or above is recommended for this version of scipy
> (detected version 1.4.1)
>
>
The current version of scipy in Centos 6 is 0.7.2
Could you do ?
$ rpm -q numpy
$
Hi all,
I am having problems when trying to deal with missing values. I am using
Imputer like this:
Pipeline([('imputerNA', Imputer(missing_values='NA', strategy='mean',
axis=0, verbose=4)), ('minmax', MinMaxScaler())]))]
My data looks like this:
24881956.0|NA|1840.0|NA|NA|48.0|1.4|NA|-1.0|0.0|
No,
That was the warning I got when importing scipy. If I try to import sklearn I
get this
/usr/lib64/python2.6/site-packages/scipy/__init__.py:120: UserWarning: Numpy
1.5.1 or above is recommended for this version of scipy (detected version 1.4.1)
UserWarning)
RuntimeError: module compiled a
On 09/25/2014 05:30 PM, Pagliari, Roberto wrote:
> I just printed both best_estimator and best_parameters, but I'm not getting
> the feature importance..
Can you elaborate?
As Gael said, you are looking for
best_estimator_.feature_importances_
What do you mean by not getting the feature importan
On 09/25/2014 05:17 PM, Pagliari, Roberto wrote:
> Sorry, I've got 0.14 and in fact the following warning
That's why I asked. If these are the packages provided by yum, that is
quite odd.
Was the incompatible numpy error you got below from scipy or scikit-learn?
---
I just printed both best_estimator and best_parameters, but I'm not getting the
feature importance..
-Original Message-
From: Gael Varoquaux [mailto:gael.varoqu...@normalesup.org]
Sent: Thursday, September 25, 2014 11:25 AM
To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Sci
> What would be the difference between best_estimator and best_params?
best_params are the parameters for best_estimator
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Thank you.
What would be the difference between best_estimator and best_params?
Thanks,
-Original Message-
From: Gael Varoquaux [mailto:gael.varoqu...@normalesup.org]
Sent: Thursday, September 25, 2014 11:09 AM
To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-
Sorry, I've got 0.14 and in fact the following warning
serWarning: Numpy 1.5.1 or above is recommended for this version of scipy
(detected version 1.4.1)
-Original Message-
From: Andy [mailto:t3k...@gmail.com]
Sent: Thursday, September 25, 2014 11:07 AM
To: scikit-learn-general@lists.s
On Thu, Sep 25, 2014 at 03:06:15PM +, Pagliari, Roberto wrote:
> the object clf will not have feature_importances_. Is that embedded in
> best_estimator?
Yes: best_estimator_.feature_importances_
G
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On 09/25/2014 05:02 PM, Pagliari, Roberto wrote:
> Hi,
> Via yum I got 1.4. for both libraries.
Scipy is at 0.14.0 currently.
>
>
> Thanks,
>
>
> -Original Message-
> From: Andy [mailto:t3k...@gmail.com]
> Sent: Thursday, September 25, 2014 10:59 AM
> To: scikit-learn-general@lists.source
When using GridSearchCV with random forests, is there a way to get the
feature_importances_?
For example, with a code like this
parameters = { }
clf = grid_search.GridSearchCV(RandomForestClassifier(),
param_grid=parameters)
clf.fit(X, y)
the object clf will not have feature_impo
Hi,
Via yum I got 1.4. for both libraries.
Thanks,
-Original Message-
From: Andy [mailto:t3k...@gmail.com]
Sent: Thursday, September 25, 2014 10:59 AM
To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] sklearn on CentOS
On 09/25/2014 03:17 PM, Paglia
On 09/25/2014 03:17 PM, Pagliari, Roberto wrote:
> Hi All,
> I used yum to install numpy and scipy. I stried with CentOS for external
> constraints. I will try to use, at least, a more recent version.
That is odd. I think you should try to go with anaconda (or canopy). If
you want to pursue the
I will give it a try.
Thank you!
-Original Message-
From: Aaron O'Leary [mailto:aaron.ole...@gmail.com]
Sent: Thursday, September 25, 2014 9:42 AM
To: scikit-learn-general@lists.sourceforge.net
Subject: Re: [Scikit-learn-general] sklearn on CentOS
Hi Roberto,
I develop on CentOS 5.5 an
Hi Roberto,
I develop on CentOS 5.5 and use Anaconda with no issues. Enthought
Canopy also works fine.
Give anaconda a try, as it is easy to get set up:
http://docs.continuum.io/anaconda/install.html
Otherwise, I'd avoid using yum and just use pip to install the python
packages that you want, i
Hi All,
I used yum to install numpy and scipy. I stried with CentOS for external
constraints. I will try to use, at least, a more recent version.
Thank you,
-Original Message-
From: Kyle Kastner [mailto:kastnerk...@gmail.com]
Sent: Thursday, September 25, 2014 9:14 AM
To: scikit-lear
To be honest - updating python packages on CentOS is a nightmare. The
whole OS is pretty strongly dependent on python version, which I
believe is up to 2.6 now (2.4 in 5.x!). In my experience CentOS is the
worst Linux OS for development (heavily locked down, hard to add
packages, yum is annoying, e
On 09/23/2014 11:50 PM, Pagliari, Roberto wrote:
I’m a bit confused as to why gridsearchCV is not needed with random
forests. I understand that with RF, each tree will only get to see a
partial representation of the data.
Why do you say GridSearchCV is not needed?
I think it should always b
Hi Roberto.
How are you trying to install scikit-learn, and how did you install
scipy and numpy?
There is a mismatch in the numpy and scipy you installed.
I couldn't find a list of packages of CentOS packages online.
CentOS 6.5 seems pretty out of date (Python2.6), and the version of
numpy you
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