Hi Scikit-learn community, Was there any progress in including DueCredit? I am building my list of references for each algorithm I tested and would welcome something automated like this.
Regards, William. On 31 August 2015 at 16:56, Yaroslav Halchenko <s...@onerussian.com> wrote: > > On Sun, 30 Aug 2015, Mathieu Blondel wrote: > > That is exactly what duecredit tries to address -- automate that > > collection of references. > > > We also need to give an idea to users as to *why* they should cite a > > certain paper. For example, cite paper [...] because it is the solver > used > > by LinearSVC(dual=True) for solving the SVM dual objective. > > That is what I have 'description' field for... there was a regression so we > started to print only path but > https://github.com/duecredit/duecredit/pull/52 > should address it and output sample is below. Not sure if it is worthwhile > expanding it listing all the "condition arguments", but description could > hint > on specifics. > > $> duecredit summary > > DueCredit Report: > - LIBSVM: A library for support vector machines / libsvm (v None) [1] > - Multivariate pattern analysis of neural data / mvpa2 (v 2.4) [2] > - Support Vector Machines (SVM) / mvpa2.clfs.SVM (v 2.4) [3] > - Sparse multinomial-logistic regression classifier / > mvpa2.clfs.smlr:SMLR (v 2.4) [4] > - Bayesian hypothesis testing / mvpa2.clfs.transerror:_call (v 2.4) [5] > - Recursive feature elimination procedure / mvpa2.featsel.rfe:_train (v > 2.4) [6] > - Searchlight analysis approach / mvpa2.measures.searchlight:_call (v > 2.4) [7] > - Scientific tools library / scipy (v 0.14.1) [8] > - Machine Learning library / sklearn (v 0.16.1) [9] > - Random forest classifiers / > sklearn.ensemble.forest:RandomForestClassifier.predict_proba (v 0.16.1) [10] > - Classification and regression trees / > sklearn.tree.tree:DecisionTreeClassifier.predict_proba (v 0.16.1) [11] > > 4 packages cited > 1 modules cited > > > -- > Yaroslav O. Halchenko > Center for Open Neuroscience http://centerforopenneuroscience.org > Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755 > Phone: +1 (603) 646-9834 Fax: +1 (603) 646-1419 > WWW: http://www.linkedin.com/in/yarik > > > ------------------------------------------------------------------------------ > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >
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