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math/ranger,
Fast Implementation of Random Forests
Branch: CURRENT,
Version: 0.4.2,
Package name: ranger-0.4.2,
Maintainer: cheusovRanger is a fast implementation of random forest (Breiman 2001) or
recursive partitioning, particularly suited for high dimensional
data. Classification, regression, probability estimation and survival
forests are supported. Classification and regression forests are
implemented as in the original Random Forest (Breiman 2001), survival
forests as in Random Survival Forests (Ishwaran et al. 2008). For
probability estimation forests see Malley et al. (2012).
Required to build:[
pkgtools/cwrappers]
Master sites:
Filesize: 13670.135 KB
Version history: (Expand)
- (2016-08-20) Package added to pkgsrc.se, version ranger-0.4.2 (created)
CVS history: (Expand)
2021-10-26 12:56:13 by Nia Alarie | Files touched by this commit (458) |
Log message:
math: Replace RMD160 checksums with BLAKE2s checksums
All checksums have been double-checked against existing RMD160 and
SHA512 hashes
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2021-10-07 16:28:36 by Nia Alarie | Files touched by this commit (458) |
Log message:
math: Remove SHA1 hashes for distfiles
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2019-11-02 17:16:23 by Roland Illig | Files touched by this commit (47) |
Log message:
math: align variable assignments
pkglint -Wall -F --only aligned -r
Manual correction in R/Makefile.extension for the MASTER_SITES
continuation line.
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2016-08-26 19:17:22 by Joerg Sonnenberger | Files touched by this commit (1) |
Log message:
Fix pthread use.
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2016-08-19 22:24:37 by Aleksey Cheusov | Files touched by this commit (4) |
Log message:
Importing math/ranger
Ranger is a fast implementation of random forest (Breiman 2001) or
recursive partitioning, particularly suited for high dimensional
data. Classification, regression, probability estimation and survival
forests are supported. Classification and regression forests are
implemented as in the original Random Forest (Breiman 2001), survival
forests as in Random Survival Forests (Ishwaran et al. 2008). For
probability estimation forests see Malley et al. (2012).
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