Hi Peter
As recommended by you I'll switch to the master immediately and check with
it.
But I am unclear on flattening Y_1.Should it done or kept as 2D ?
Thank you so much.And yes, Congratulations for Win in Kaggle Competition!!
Regards
Nikit Saraf
On Fri, Jul 6, 2012 at 1:55 AM, Peter Prettenh
Ok, I strongly recommend using the current master because I added some
bugfixes w.r.t. input verification after the 0.11 release.
I added some more test cases for input verification and another fix (I
didn't flatten the ``y`` array and you are passing a 2d ``Y_1``).
I included them in this PR [1] w
Hi Peter
It is most probably 0.11.I'm not so sure, It can be older version too.
Regards
Nikit Saraf
On Fri, Jul 6, 2012 at 1:39 AM, Peter Prettenhofer <
[email protected]> wrote:
> Nikit,
> which version of sklearn do you use? master or 0.11?
>
> best,
> Peter
>
> 2012/7/5 Nikit S
Nikit,
which version of sklearn do you use? master or 0.11?
best,
Peter
2012/7/5 Nikit Saraf :
> Hi Peter
>
> Thanks for the reply.
>
> dtype of Y_1 is 'string64' and its shape is (12137,1)
> dtype of X_1 is 'float64" and its shape is (12137,100)
>
> And here is the example of 10 cases http://
Hi Peter
Thanks for the reply.
dtype of Y_1 is 'string64' and its shape is (12137,1)
dtype of X_1 is 'float64" and its shape is (12137,100)
And here is the example of 10 cases http://paste.ubuntu.com/1077028/
It would be great if you could point out where I'm going wrong.Thank you so
much for t
Hi Nikit,
thanks for reporting - I added a test case for symbolic class labels
and it works ok (class labels get mapped to internal class ids prior
to fitting; see gradient_boosting.py:629:631) - I think the source of
the error is something different.
Can you check the dtype and shape of ``Y_1``?
I was trying to train a Character Recognition Model with the help of
GradientBoostingClassifier. When i tried to run, it gave me the following
error :-
Traceback (most recent call last):
File "charRecog.py", line 23, in
clf = GradientBoostingClassifier().fit(X_1,Y_1)
File
"/usr/local/lib/
