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

Reply via email to