| Name : R-traineR
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| Version : 2.0.4
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.9.5
| Date : 2024-06-14 11:39:37
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| Group : Development/Libraries/Other
| Source RPM : R-traineR-2.0.4-lp153.9.5.src.rpm
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| Size : 0.21 MB
| |
| Packager : (none)
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| Summary : Predictive (Classification and Regression) Models Homologator
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Description :
Methods to unify the different ways of creating predictive models and
their different predictive formats for classification and regression.
It includes methods such as K-Nearest Neighbors Schliep, K. P. (2004)
< doi:10.5282/ubm/epub.1769>, Decision Trees Leo Breiman, Jerome H.
Friedman, Richard A. Olshen, Charles J. Stone (2017)
< doi:10.1201/9781315139470>, ADA Boosting Esteban Alfaro, Matias Gamez,
Noelia García (2013) < doi:10.18637/jss.v054.i02>, Extreme Gradient
Boosting Chen & Guestrin (2016) < doi:10.1145/2939672.2939785>, Random
Forest Breiman (2001) < doi:10.1023/A:1010933404324>, Neural Networks
Venables, W. N., & Ripley, B. D. (2002) < ISBN:0-387-95457-0>, Support
Vector Machines Bennett, K. P. & Campbell, C. (2000)
< doi:10.1145/380995.380999>, Bayesian Methods Gelman, A., Carlin, J.
B., Stern, H. S., & Rubin, D. B. (1995) < doi:10.1201/9780429258411>,
Linear Discriminant Analysis Venables, W. N., & Ripley, B. D. (2002)
< ISBN:0-387-95457-0>, Quadratic Discriminant Analysis Venables, W. N.,
& Ripley, B. D. (2002) < ISBN:0-387-95457-0>, Logistic Regression
Dobson, A. J., & Barnett, A. G. (2018) < doi:10.1201/9781315182780> and
Penalized Logistic Regression Friedman, J. H., Hastie, T., &
Tibshirani, R. (2010) < doi:10.18637/jss.v033.i01>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
