I’m now in Paris, and I have done the preparations for the sprint tomorrow.
However, I’ve been looking around on the website, and I cannot find the time
that it is starting. Can anyone tell me please?
Tim
--
Dive into th
hrough documentation fixes or easy fixes:
> https://github.com/scikit-learn/scikit-learn/issues?q=label%3AEasy
>
> You could also help us triaging issues.
>
> Looking forward to seeing you,
>
> Ga?l
>
> On Mon, Mar 30, 2015 at 02:51:04PM +, Timothy Vivian-Griffiths
Just a quick question here about the upcoming event in Paris this week.
I have bought tickets for the event on Friday and am really looking forward to
it. I have also made my travel plans such that I will actually be in Paris for
the 2nd, on the day of the sprints. I would describe myself as a u
which I presume shows the columns of the inputs
that were used in the final model.
Thanks again,
Tim
> Hi Tim,
>
> On 9 February 2015 at 19:54, Timothy Vivian-Griffiths
> wrote:
>>
>>
>> I have a dataset with a very large number of features (> 22,000), and it
Just a quick follow up to some of the previous problems that I have had: after
getting some kind assistance at the PyData London meetup last week, I found out
why I was getting different results using an SVC in R, and it was happening
because R scales the inputs automatically whereas sklearn doe
x27;rbf'). I will also compare the performance with some
other kernels and parameters when I can as well.
Tim
>
> On 01/19/2015 10:43 AM, Timothy Vivian-Griffiths wrote:
>> I have used this same dataset and parameters in Rs implementation of an SVM,
>> and it is not outpu
to reproduce the scores?
>
> Best,
> Andy
>
>
> On 01/19/2015 11:21 AM, Timothy Vivian-Griffiths wrote:
>> Hi Andy,
>>
>> *This is actually the second time that I sending this reply as I don't think
>> that it got to the mailing list, and I cannot see i
ks fine to me:
> http://sourceforge.net/p/scikit-learn/mailman/message/33220124/
> Did you subscribe to the mailing list? Otherwise you will not get replies
> (except this one where I explicitly copied you into the "to").
>
> Andy
>
> On 01/13/2015 11:08 AM, Timothy Vivian-Griff
continuous values, and you should find its results replicated by using
> roc_auc_score(y_test, svc.decision_function(X_test)) rather than the
> version with predict. Cheers, Joel
>
> On 19 January 2015 at 21:45, Timothy Vivian-Griffiths <
> vivian-griffith...@cardiff.ac.uk> wrote:
>
Just in case this does appear twice, I am sending this for the second time as I
have not seen it appear on the website archives, neither has it featured in the
latest mail that I have received from this mailing list.
This is really following on from the recent problems that I have been having
t
mail.com>>
> wrote:
>
> Hi Tim.
> Please keep all discussions on the mailing list, as individual contributors
> might not find the time to respond.
> With fixed random seeds, results should be reproducible. If you provide the
> full code, it might be possible to say whe
cores using cross_val_score.
For otherwise maintained clusters: installing a version locally is super easy.
Just check out the dev version and set the pythonpath appropriately,
or install into a virtual environment. Many people have custom python libraries
(or whole environments) installed.
Cheers,
Andy
I am having some confusing results arising when I am carrying out a permutation
exercise on my data using the SVC function from the sklearn.svm module. The
data I am using is quite large and has very high dimensionality, but I will try
to explain it briefly.
The dataset represent risk scores fo
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