Re: [Scikit-learn-general] [ANN] scikit-learn 0.15.1 is out

Thanks Olivier! Arnaud On 01 Aug 2014, at 17:55, Olivier Grisel wrote: > This is a bugfix release. > > The list of fixes of this release can be found on: > > http://scikit-learn.org/stable/whats_new.html > > You can install from source or binary packages available here > > https://pypi.p

[Scikit-learn-general] Sparse Random Projection Issue

Hi all, I am currently trying to calculate all-pairs similarity between a large number of text documents. I am using a TfidfVectorizer for feature generation and then want to calculate cosine similarity between the pairs. Hence, I am calculating X * X.T between the L2 normalized matrices. As m

Re: [Scikit-learn-general] [ANN] scikit-learn 0.15.1 is out

Thanks a lot! :) On 08/01/2014 05:55 PM, Olivier Grisel wrote: > This is a bugfix release. > > The list of fixes of this release can be found on: > >http://scikit-learn.org/stable/whats_new.html > > You can install from source or binary packages available here > >https://pypi.python.org/py

Re: [Scikit-learn-general] gridSearchCV best_estimator_ best_score_

On 07/30/2014 12:22 AM, Joel Nothman wrote: > See the refit parameter. Iff refit=True, the model is fit on the > entire training data using the best-found (hyper)parameters, making > full use of the available training data in the final model. > (and if refit=False, best_estimator_ doesn't exist,

Re: [Scikit-learn-general] Sparse Random Projection Issue

2014-08-04 17:39 GMT+02:00 Philipp Singer : > Apart from that, does anyone know a solution of how I can efficiently > calculate the resulting matrix Y = X * X.T? I am currently thinking about > using PyTables with some sort of chunked calculation algorithm. > Unfortunately, this is not the most

Re: [Scikit-learn-general] Sparse Random Projection Issue

Am 04.08.2014 um 20:54 schrieb Lars Buitinck : > 2014-08-04 17:39 GMT+02:00 Philipp Singer : >> Apart from that, does anyone know a solution of how I can efficiently >> calculate the resulting matrix Y = X * X.T? I am currently thinking about >> using PyTables with some sort of chunked calculat

Re: [Scikit-learn-general] Sparse Random Projection Issue

Am 04.08.2014 um 22:14 schrieb Philipp Singer : > > Am 04.08.2014 um 20:54 schrieb Lars Buitinck : > >> 2014-08-04 17:39 GMT+02:00 Philipp Singer : >>> Apart from that, does anyone know a solution of how I can efficiently >>> calculate the resulting matrix Y = X * X.T? I am currently thinking