Comments (6)
Ha no problem. Totally fair. Criticism is the point. Will fix this and the
other issue when I get to the office. Thanks again for reviewing this.
On Wed, Oct 19, 2016 at 7:50 AM Philipp Probst [email protected]
wrote:
You have two times extract_proximity in the readme. Moreover you have
randomforest_distance, but the function is randomforest_dist.
You do not mention randomforest_dist in the paper, but maybe this is not
a problem. I really do not know what happens in randomforest_dist, you
could add a reference or better explanation in the help.
Also references in the help of the other functions.Sorry for being very critical, but I think this could really improve the
documentation.β
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I went ahead and removed it. I'll reimplement later if needed.
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- You still mention
extract_proximity
two times in the readme - You do not have references in some of the help files (e.g. partial_dependence); If this is intended let me know. ;)
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do you mean references to articles? or links to the packages?
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References to articles.
E.g. if you look at ?randomForest
you see the reference section:
References
Breiman, L. (2001), Random Forests, Machine Learning 45(1), 5-32.
Breiman, L (2002), βManual On Setting Up, Using, And Understanding Random Forests V3.1β, https://www.stat.berkeley.edu/~breiman/Using_random_forests_V3.1.pdf.
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ok did those things. thanks
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Related Issues (20)
- randomForest.default
- multivariate tests
- dependencies failed to install HOT 3
- plot_pd: no geom_line-lines if predictor ordered factor HOT 6
- error with install from devtools HOT 9
- patch or remove party var_est HOT 1
- refactor/expand plot functions HOT 1
- add vignette and example data
- license missing HOT 1
- Examples in the help files HOT 5
- Test of proximity matrix missing? HOT 1
- Reference in the joss paper above image HOT 3
- Example does not work HOT 2
- Cite packages in the paper? HOT 3
- OOB parameter for variable importance when using party HOT 1
- Support for random forest fit by ranger HOT 5
- [feature request] interpreting forests by extracting simple rules HOT 1
- Possible bug: Edarf functions give error when using a ranger object with categorical variables HOT 6
- 'uniform = FALSE' does not work HOT 2
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