Re: [scikit-learn] Failed when make PDF document by "make latexpdf"

Hi Loïc, thank you, finally I got the PDF File. Thanks and best regards, James 2016-12-20 15:29 GMT+08:00 Loïc Estève via scikit-learn < scikit-learn@python.org>: > Hi, > > you can get the PDF documentation from the website, see attached > screenshot. > > Cheers, > Loïc > > > On 12/20/2016

[scikit-learn] Failed when make PDF document by "make latexpdf"

Hi, Does anyone have issue when execute "make latexpdf" to get PDF format Doc ? or I can directly download the latest PDF format doc for the currently stable version scikit-learn v 0.18.1 in some where? PS. I run the commend under Mac OS X 10.12.1 Thanks in advance and best regards, James

Re: [scikit-learn] combining arrays of features to train an MLP

Thank you, these articles discuss about ML application of the types of fingerprints I working with! I will read them thoroughly to get some hints. In the meantime I tried to eliminate some features using RandomizedLasso and the performance escalated from R=0.067 using all 615 features to R=0.524

Re: [scikit-learn] n_jobs for LogisticRegression

Thanks, Tom, that makes sense. Submitted a PR to fix that. Best, Sebastian > On Dec 19, 2016, at 10:14 AM, Tom DLT wrote: > > Hi, > > In LogisticRegression, n_jobs is only used for one-vs-rest parallelization. > In LogisticRegressionCV, n_jobs is used for both

Re: [scikit-learn] combining arrays of features to train an MLP

Oh, sorry, I just noticed that I was in the wrong thread — meant answer a different Thomas :P. Regarding the fingerprints; scikit-learn’s estimators expect feature vectors as samples, so you can’t have a 3D array … e.g., think of image classification: here you also enroll the n_pixels times

Re: [scikit-learn] combining arrays of features to train an MLP

this means that both are feasible? On 19 December 2016 at 18:17, Sebastian Raschka wrote: > Thanks, Thomas, that makes sense! Will submit a PR then to update the > docstring. > > Best, > Sebastian > > > > On Dec 19, 2016, at 11:06 AM, Thomas Evangelidis

Re: [scikit-learn] combining arrays of features to train an MLP

Thanks, Thomas, that makes sense! Will submit a PR then to update the docstring. Best, Sebastian > On Dec 19, 2016, at 11:06 AM, Thomas Evangelidis wrote: > > ​​ > Greetings, > > My dataset consists of objects which are characterised by their structural > features which

[scikit-learn] combining arrays of features to train an MLP

​​ Greetings, My dataset consists of objects which are characterised by their structural features which are encoded into a so called "fingerprint" form. There are several different types of fingerprints, each one encapsulating different type of information. I want to combine two specific types of

Re: [scikit-learn] n_jobs for LogisticRegression

Hi, In LogisticRegression, n_jobs is only used for one-vs-rest parallelization. In LogisticRegressionCV, n_jobs is used for both one-vs-rest and cross-validation parallelizations. So in LogisticRegression with multi_class='multinomial', n_jobs should have no impact. The docstring should