[Scikit-learn-general] Find the pattern causing clustering in the data (if any)

, and returns the set of rules that determine such clustering? As you have guessed I don't know much about this topic, so I don't even know what to search for in the documentation. Thanks a lot in advance for the help and hints! *Luca Cerone* Tel: +34 692 06 71 28 Skype: luca.cerone

Re: [Scikit-learn-general] [github] How can I track pull-requests for scikit-learn?

Hi Gilles, thanks for the help. It helps, but mlp doesn't track the pull request branch. I would like to be able, when in mlp, to just do: git pull mlp to fetch and merge all the changes in the remote pull request branch! Thanks again for the help! *Luca Cerone* Tel: +447585611951 Skype

[Scikit-learn-general] [github] How can I track pull-requests for scikit-learn?

Hi everybody, don't know if this is slightly off topic, in that case I apologize in advance. I would like to fetch and track a few pull requests (e.g. the multilayer perceptron branch). For example, Issam explained me how to checkout his branch, which I did, but I can't understand now how to

Re: [Scikit-learn-general] [github] How can I track pull-requests for scikit-learn?

conflicts? I am still learning both about scikit and how to collaborate to projects, so it will take me some time before I can do that actively, but I find scikit useful and would like to contribute when I am able. Thanks again, Cheers, Luca *Luca Cerone* Tel: +447585611951 Skype: luca.cerone

Re: [Scikit-learn-general] Multiclass Logistic Regression.

Dear Olivier, thanks for your reply. On 25 September 2013 10:39, Olivier Grisel olivier.gri...@ensta.org wrote: LogisticRegression is a already multiclass classifier by default using the One vs Rest / All strategy by default (as implemented internally by liblinear which LogisticRegression is

Re: [Scikit-learn-general] Multiclass Logistic Regression.

(this is not explained in the user guide http://scikit-learn.org/stable/modules/linear_model.html#logistic-regression , though). All our classifiers support multiclass classification and this is documented in various places. I am sorry, but I went into the user documentation for

Re: [Scikit-learn-general] Multiclass Logistic Regression.

On 25 September 2013 13:55, Olivier Grisel olivier.gri...@ensta.org wrote: 2013/9/25 Luca Cerone luca.cer...@gmail.com: (this is not explained in the user guide http://scikit-learn.org/stable/modules/linear_model.html#logistic-regression , though). All our classifiers support

[Scikit-learn-general] Error when using an array for one feature linear regression

Dear all, I have noticed that the Linear Regression fails to perform the prediction if performed on with a dataset and target that are normal array. You can replicate this as follows: from pylab import linspace, permutation, randn from sklearn import linear_model clf =

Re: [Scikit-learn-general] Error when using an array for one feature linear regression

X, must be of shape [n_samples,n_features] So I don't think an issue is necessary, as it is expected, although, having a better error message in terms of what the input should be could be useful. Thoughts, list? Hope this helps Kind Regards, Jaques 2013/9/24 Luca Cerone luca.cer

[Scikit-learn-general] Multiclass Logistic Regression.

Dear all, I am practising with scikit-learn to solve multiclass classification problems. As an exercise I am trying to build a model to predict the digits dataset available with scikit-learn. Ideally I would like to solve this using logistic regression, building a predictor for each digit (one

Re: [Scikit-learn-general] Multiclass Logistic Regression.

how the normalization of the data is performed? Thanks again! Cheers, Luca On 24 September 2013 17:42, Luca Cerone luca.cer...@gmail.com wrote: Dear all, I am practising with scikit-learn to solve multiclass classification problems. As an exercise I am trying to build a model to predict

[Scikit-learn-general] Neural Networks for supervised classification

Dear all, I am new to scikit-learn, so I would like to use this email to thank all the developers and contributors for their work. I am still learning the features and capabilities of scikit-learn, and hopefully I'll be able soon to contribute with the development as well. I would like to know if

Re: [Scikit-learn-general] Neural Networks for supervised classification

/sklearn.linear_model.Perceptron.html - RBM (unsupervised, but can be fed to linear supervised algorithms) : http://scikit-learn.org/dev/modules/neural_networks.html And I think some people here have work in progress on different NN stuff... HTH Eustache 2013/9/23 Luca Cerone luca.cer

Re: [Scikit-learn-general] Neural Networks for supervised classification

-- *Luca Cerone* Tel: +447585611951 Skype: luca.cerone -- LIMITED TIME SALE - Full Year of Microsoft Training For Just $49.99! 1,500+ hours of tutorials including VisualStudio 2012, Windows 8, SharePoint 2013, SQL 2012, MVC 4

Re: [Scikit-learn-general] Neural Networks for supervised classification

, because more testing is required. My intuition, however, tells me that its working perfectly :P. You could help us out by reporting any difficulties you might face. Thanks! Cheers! ~Issam On 9/23/2013 2:58 PM, Luca Cerone wrote: Thanks Olivier! Since I am new to github, has the pull