Commit graph

14 commits

Author SHA1 Message Date
nia
414fc7869d math: Replace RMD160 checksums with BLAKE2s checksums
All checksums have been double-checked against existing RMD160 and
SHA512 hashes
2021-10-26 10:55:21 +00:00
nia
3c576fbd23 math: Remove SHA1 hashes for distfiles 2021-10-07 14:27:43 +00:00
brook
93e94bec97 Update all R packages to canonical form.
The canonical form [1] of an R package Makefile includes the
following:

- The first stanza includes R_PKGNAME, R_PKGVER, PKGREVISION (as
  needed), and CATEGORIES.

- HOMEPAGE is not present but defined in math/R/Makefile.extension to
  refer to the CRAN web page describing the package.  Other relevant
  web pages are often linked from there via the URL field.

This updates all current R packages to this form, which will make
regular updates _much_ easier, especially using pkgtools/R2pkg.

[1] http://mail-index.netbsd.org/tech-pkg/2019/08/02/msg021711.html
2019-08-08 19:53:36 +00:00
brook
34d0c28942 R-randomForest: update to version 4.6.14.
Update to the canonical form of an R package and fix the LICENSE
field.
2019-07-31 20:23:32 +00:00
brook
d1d2bdf864 Remove MASTER_SITES= from individual R package Makefiles.
Each R package should include ../../math/R/Makefile.extension, which also
defines MASTER_SITES.  Consequently, it is redundant for the individual
packages to do the same.  Package-specific definitions also prevent
redefining MASTER_SITES in a single common place.
2018-07-28 14:40:42 +00:00
agc
286ea2536c Add SHA512 digests for distfiles for math category
Problems found locating distfiles:
	Package dfftpack: missing distfile dfftpack-20001209.tar.gz
	Package eispack: missing distfile eispack-20001130.tar.gz
	Package fftpack: missing distfile fftpack-20001130.tar.gz
	Package linpack: missing distfile linpack-20010510.tar.gz
	Package minpack: missing distfile minpack-20001130.tar.gz
	Package odepack: missing distfile odepack-20001130.tar.gz
	Package py-networkx: missing distfile networkx-1.10.tar.gz
	Package py-sympy: missing distfile sympy-0.7.6.1.tar.gz
	Package quadpack: missing distfile quadpack-20001130.tar.gz

Otherwise, existing SHA1 digests verified and found to be the same on
the machine holding the existing distfiles (morden).  All existing
SHA1 digests retained for now as an audit trail.
2015-11-03 23:33:26 +00:00
wen
2537fd42d0 Update to 4.6.10
Upstream changes:
Changes in 4.6-10:

* Fixed bugs introduced in 4.6-8 and 4.6-9. Levels for ordered factors
  in predictors are no longer checked for consistency between training
  and test data in predict.randomForest().  In 4.6-9 the response is mean
  centered before running the algorithm (for regression), but the mean was
  not added back in the $y component of the return object from
  randomForest().

Changes in 4.6-9:

* Categorical predictors are allowed to have up to 53 categories now.

Changes in 4.6-8:

* There was a bug in the handling of ordered factors in randomForest.formula().
  (Reported by Barry Rawlingson.)

* Changed randomForest.formula() and predict.randomForest() so that
  predict() without newdata when na.action=na.exclude pads the output
  with NAs to match the rows in the original data (suggested by Barry
  Rawlingson.).

* There was a long standing bug in randomForest(..., proximity=TRUE, oob.prox=FALSE)
  in regression mode. (Thanks to Stefano Romano for the report.)
2015-05-31 02:38:49 +00:00
wen
0e1da0e23b Update to 4.6.7
No upstream changelog.
2012-12-17 15:04:19 +00:00
brook
20fdd5be59 Update to randomForest v4.6-6. Add a LICENSE. 2012-04-15 13:28:39 +00:00
markd
fa40cfe02d s/fortran77/fortran/ - use same fortran as R itself.
No PKGREVISION bump as either this is unchanged or didn't previously build
2011-12-19 22:27:04 +00:00
asau
dfc6889736 "fortran" -> "fortran77" except where it is clear that it isn't F77.
"fortran" is alias of "fortran77" for now, but it will change later.
2010-07-30 10:36:22 +00:00
joerg
ae621d4fa4 Needs C and Fortran. From PR 42506. 2009-12-23 23:38:46 +00:00
adam
78127c662f Wrong path in Makefile 2009-12-11 19:45:46 +00:00
adam
f0ef69440f Classification and regression based on a forest of trees using random inputs. 2009-12-11 19:06:17 +00:00