Hi
As I think, using sparse data we can enhance the descriptiveness of the
data while keeping its' smaller compared to the dense data without loosing
information. Isn't that what trees generally need for improved accuracy?
I will try using sparse data on 20newsgroups data and let you know the
res
2014/1/21 Lorenzo Isella :
> I checked the dat files with R and there are only numeric values and no
> missing values, nevertheless I get this error message when I try running
> the Python script
>
> $ ./loan-minimal.py
> Traceback (most recent call last):
>File "./loan-minimal.py", line 13, in
Hi,
Maybe try with a subset of the data (or use dichotomy) to find the part of
it that is triggering the error.
And before that update your sklearn version using e.g. pip:
"""
sudo pip install -U scikit-learn
"""
so we're sure the version is recent enough :)
Eustache
2014/1/21 Lorenzo Isella
Hi all,
I am using random forest to do deep learning/feature learning using the
RandomForestEmbedding in scikit-learn. It would be cool to apply
the random forest on the learned features and induced a higher level
representation.
I have actually tried the naive approach of densified the output
Mathieu,
I have no experience with forests on sparse data, nor have I seen much work
on the topic. I would be curious to investigate however, there may be
problems how which this is useful. I know that Arnaud tried forests on
(densified) 20newsgroups and it seems to work well actually.
In partic
Hi,
Something I was wondering is whether sparse support in decision trees would
actually be useful. Do decision trees (or ensembles of them like random
forests) work better than linear models for high-dimensional data?
It would be nice to take the News20 dataset, pre-select the top 10k
features (
I just remembered that you can also try RANSAC, which was recently added to
scikit-learn master:
http://scikit-learn.org/dev/auto_examples/linear_model/plot_ransac.html
Mathieu
On Mon, Jan 13, 2014 at 6:45 PM, Mathieu Blondel wrote:
>
> On Mon, Jan 13, 2014 at 5:09 PM, [email protected]
Hi Maheshakya,
I could be one of the mentors for this GSOC.
If you want to apply for a GSOC, I think that this message from Gael and
Mathieu is worth reading
http://sourceforge.net/mailarchive/message.php?msg_id=31864881
Best,
Arnaud
On 22 Jan 2014, at 06:13, Maheshakya Wijewardena wrote:
