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(math/R-e1071) Updated 1.7.14 to 1.7.16
Changes in version 1.7-16:
* fix bug in svmdoc vignette
* fix possible glitch in svm.cpp regarding memory allocation
Changes in version 1.7-15:
* fix bug in 'read.matrix.csr()'
(math/R-e1071) Updated 1.7.13 to 1.7.14
Changes in version 1.7-14:
- fix incomplete arguments to avoid partial matches
- fix small bug in svm.cpp (Rprintf() wrongly called)
- fix predict.gknn() and predict.svn() to allow for
newdata argument with character variables instead of
factors (levels are taken from original data).
(math/R-e1071) Updated 1.7.11 to 1.7.12
( R CMD Rdconv -t txt /tmp/math/R-e1071/work/e1071/inst/NEWS.Rd |head -20)
News for Package 'e1071'
Changes in version 1.7-12:
* add ORCID ids
Changes in version 1.7-12:
* add 'tune.gknn()' wrapper
(math/R-e1071) Updated 1.7.9 to 1.7.12
(R CMD Rdconv -t txt math/R-e1071/work/e1071/inst/NEWS.Rd |head -20)
Changes in version 1.7-12:
* add 'tune.gknn()' wrapper
Changes in version 1.7-11:
* cosmetic changes
Changes in version 1.7-10:
* small fix in 'coef.svm' for sparse data
math: Replace RMD160 checksums with BLAKE2s checksums All checksums have been double-checked against existing RMD160 and SHA512 hashes
math: Remove SHA1 hashes for distfiles
(math/R-e1071) Updated 1.7.8 to 1.7.9 (R CMD Rdconv -t txt math/R-e1071/work/e1071/inst/NEWS.Rd) Changes in version 1.7-9: * Remove configure code testing for gcc 2.96.
(math/R-e1071) Updated 1.7.2 to 1.7.8
(by R CMD Rdconv -t txt math/R-e1071/work/e1071/inst/NEWS.Rd)
Changes in version 1.7-8:
* Bugfixes in 'gknn()': wrong behavior in case of tied
k-nearest neighbors (for 'use_all=TRUE'), and also in case of
an overall class tie.
Changes in version 1.7-7:
* Bugfix in examples of 'cshell()'
Changes in version 1.7-6:
* Bugfix in 'scale_data_frame()' - now calls 'scale()' if x is
not a data frame.
Changes in version 1.7-5:
* NaiveBayes: better handling od character and logical features
* Added: 'gknn()' for generalized k-Nearest Neighbours (using
arbitrary proximity measures)
* Added: 'scale_data_frame()' for scaling the numeric columns
of a data frame.
Changes in version 1.7-4:
* Bug fix: "inverse" argument for class.weights argument in
'svm.default()' did not work
R-e1071: update to version 1.7.2. Update to the canonical form of an R package and fix the LICENSE field.
math/R-e1071: Update to 1.6-8 Changes: - add and use native symbols for C-code - naiveBayes() now supports logical variables
Update to 1.6.7
Upstream changes:
Changes in version 1.6-7
fix some bug in handling weights in svm.default
Changes in version 1.6-6
fix numeric issue in classAgreement()
add functions from recommended packages to NAMESPACE
fix bug in svm.default (incorrect handling of subset= argument)
fix bug in predict.svm (new data with NA in response got removed)
residuals are now correctly computed for regression in case of scaled data
Changes in version 1.6-5
hamming.distance() no longer converts input to binary
tune() now uses mean() to aggregate error measures from cross-fold replications
Changes in version 1.6-4
remove library("SparseM") statements in code, use namespace semantics instead
Fix memory leak and uninitialized read error in write.svm()
add warning in predict.svm() if probabilities should be predicted, but the model was not trained with probability = TRUE
add eps to laplace smoothing in predict.naiveBayes() to account for close-zero probabilities also.
use R's random number generator for cross-validation and probability computation instead of the system one.
Changes in version 1.6-3
remove require() statements and dependency on stats
Changes in version 1.6-2
vignettes moved to vignettes folder.
libsvm upgrade to version 3.17, getting rid of stdout and stderr
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.
Update to 1.6.1 Upstream changes: Changes in version 1.6-1 write.matrix.csr() now accepts a fac argument similar to read.matrix.csr(), writing factor levels instead of the numeric codes. naiveBayes() uses a numerically more stable formula for calculating the a-posterior probabilities. predict.naiveBayes() now accepts data with predictors in an order different from the training data, and also ignores variables not in the model (especially the response variable). svm() checks whether parameters which are passed to the C-code are set to NULL to avoid segfaults.
Update to e1071 v1.6, add LICENSE and regularize package files.
Changes 2.11.1: * R CMD INSTALL checks if dependent packages are available early on * in the installation of source packages, thereby giving clearer error messages. * R CMD INSTALL --build now names the file in the format used for Mac OS X binary files on that platform. * BIC() in package stats4 now also works with multiple fitted models, analogously to AIC(). * Use of file extension .C for C++ code in packages is now deprecated: it has caused problems for some 'make's on case-insensitive file systems (although it currently works with the recommended toolkits). * The C function mkCharLenCE now no longer reads past 'len' bytes (unlikely to be a problem except in user code). * On systems without any default LD_LIBRARY_PATH (not even /usr/local/lib), [DY]LIB_LIBRARY_PATH is now set without a trailing colon. * More efficient utf8ToInt() on long multi-byte strings with many multi-byte characters. * aggregate.ts() gave platform-depedent results due to rounding error for ndeltat != 1. * package.skeleton() sometimes failed to fix filenames for .R or .Rd files to start with an alphanumeric.
Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged clustering, naive Bayes classifier, ...
Initial revision