Upstream changes:
Version 0.9
2013-12-10 Change LICENCE following advince from Kurt Hornik
Version 0.8
2013-12-10 date stamp for CRAN submssion
2013-09-30 mv inst/doc vignettes
rmdir inst
Version 0.7
2013-09-27 Add MIT to LICENSE
Version 0.6
2012-04-16 Change "integer gmax/50/" into "integer gmax, data gmax/50/" in lmm.f
as suggested by Brook Milligan [mailto:brook@nmsu.edu]
2012-04-11 Revise example.Rd
2012-04-06 Include incomplete data in marijuana.rda
Accommodate the change in example.Rd
2012-04-05 Fix typos and add title to Table 1 in lmm-tr.Rnw
labeling sequential data. The first priority of this software is to
train and use CRF models as fast as possible even at the expense of
its memory space and code generality. CRFsuite runs 5.4 - 61.8 times
faster than C++ implementations for training. CRFsuite supports
parameter estimation with L1 regularization (Laplacian prior) using
Orthant-Wise Limited-memory Quasi-Newton (OW-LQN) method and L2
regularization (Gaussian prior) using Limited-memory BFGS (L-BFGS)
method.
analysis. It can handle the classification of, for example, titles,
questions, sentences, and short messages. Main features of
LibShortText include
* It is more efficient than general text-mining packages. On a
typical computer, processing and training 10 million short texts
takes only around half an hour.
* The fast training and testing is built upon the linear classifier
* LIBLINEAR
* Default options often work well without tedious tuning.
* An interactive tool for error analysis is included. Based on the
property that each short text contains few words, LibShortText
provides details in predicting each text.
LIBLINEAR is a linear classifier for data with millions of instances
and features. It supports
L2-regularized classifiers
L2-loss linear SVM, L1-loss linear SVM, and logistic regression (LR)
L1-regularized classifiers (after version 1.4)
L2-loss linear SVM and logistic regression (LR)
L2-regularized support vector regression (after version 1.9)
L2-loss linear SVR and L1-loss linear SVR.
Main features of LIBLINEAR include
Same data format as LIBSVM, our general-purpose SVM solver,
and also similar usage
Multi-class classification: 1) one-vs-the rest, 2) Crammer & Singer
Cross validation for model selection
Probability estimates (logistic regression only)
Weights for unbalanced data
MATLAB/Octave, Java, Python, Ruby interfaces
is finally consistent.
This is a graphical UI for the computer algebra system maxima.
Changes compared to math/wxMaxima:
14.09.0:
Bugfixes and compatibility with wxGTK-3.x.
We are happy to announce PyTables 3.1.1.
This is a bug-fix release that addresses a critical bug that make PyTables
unusable on some platforms.
What's new
==========
- Fixed a critical bug that caused an exception at import time.
The error was triggered when a bug in long-double detection is detected
in the HDF5 library (see :issue:`275`) and numpy_ does not expose
`float96` or `float128`. Closes :issue:`344`.
- The internal Blosc_ library has been updated to version 1.3.5.
This fixes a false buffer overrun condition that made c-blosc to fail,
even if the problem was not real.
As always, a large amount of bugs have been addressed and squashed as well.
Note: this commit is part of reorganizing some of the recently
imported R packages, which are being reimported into more appropriate
categories (and removed from math) as a result of a recent discussion
on tech-pkg and privately with wiz@. See the thread starting with:
http://mail-index.netbsd.org/tech-pkg/2014/09/05/msg013558.html
Note: this commit is part of reorganizing some of the recently
imported R packages, which are being reimported into more appropriate
categories (and removed from math) as a result of a recent discussion
on tech-pkg and privately with wiz@. See the thread starting with:
http://mail-index.netbsd.org/tech-pkg/2014/09/05/msg013558.html
Note: this commit is part of reorganizing some of the recently
imported R packages, which are being reimported into more appropriate
categories (and removed from math) as a result of a recent discussion
on tech-pkg and privately with wiz@. See the thread starting with:
http://mail-index.netbsd.org/tech-pkg/2014/09/05/msg013558.html
Note: this commit is part of reorganizing some of the recently
imported R packages, which are being reimported into more appropriate
categories (and removed from math) as a result of a recent discussion
on tech-pkg and privately with wiz@. See the thread starting with:
http://mail-index.netbsd.org/tech-pkg/2014/09/05/msg013558.html
Note: this commit is part of reorganizing some of the recently
imported R packages, which are being reimported into more appropriate
categories (and removed from math) as a result of a recent discussion
on tech-pkg and privately with wiz@. See the thread starting with:
http://mail-index.netbsd.org/tech-pkg/2014/09/05/msg013558.html
Note: this commit is part of reorganizing some of the recently
imported R packages, which are being reimported into more appropriate
categories (and removed from math) as a result of a recent discussion
on tech-pkg and privately with wiz@. See the thread starting with:
http://mail-index.netbsd.org/tech-pkg/2014/09/05/msg013558.html
Note: this commit is part of reorganizing some of the recently
imported R packages, which are being reimported into more appropriate
categories (and removed from math) as a result of a recent discussion
on tech-pkg and privately with wiz@. See the thread starting with:
http://mail-index.netbsd.org/tech-pkg/2014/09/05/msg013558.html
Note: this commit is part of reorganizing some of the recently
imported R packages, which are being reimported into more appropriate
categories (and removed from math) as a result of a recent discussion
on tech-pkg and privately with wiz@. See the thread starting with:
http://mail-index.netbsd.org/tech-pkg/2014/09/05/msg013558.html
Note: this commit is part of reorganizing some of the recently
imported R packages, which are being reimported into more appropriate
categories (and removed from math) as a result of a recent discussion
on tech-pkg and privately with wiz@. See the thread starting with:
http://mail-index.netbsd.org/tech-pkg/2014/09/05/msg013558.html
Note: this commit is part of reorganizing some of the recently
imported R packages, which are being reimported into more appropriate
categories (and removed from math) as a result of a recent discussion
on tech-pkg and privately with wiz@. See the thread starting with:
http://mail-index.netbsd.org/tech-pkg/2014/09/05/msg013558.html
Note: this commit is part of reorganizing some of the recently
imported R packages, which are being reimported into more appropriate
categories (and removed from math) as a result of a recent discussion
on tech-pkg and privately with wiz@. See the thread starting with:
http://mail-index.netbsd.org/tech-pkg/2014/09/05/msg013558.html
in graphics/R-latticeExtra.
Note: this commit is part of reorganizing some of the recently
imported R packages, which are being reimported into more appropriate
categories (and removed from math) as a result of a recent discussion
on tech-pkg and privately with wiz@. See the thread starting with:
http://mail-index.netbsd.org/tech-pkg/2014/09/05/msg013558.html
This package provides a general-purpose tool for dynamic report
generation in R, which can be used to deal with any type of (plain
text) files, including Sweave, HTML, Markdown, reStructuredText,
AsciiDoc, and Textile. R code is evaluated as if it were copied and
pasted in an R terminal thanks to the evaluate package (e.g., we do
not need to explicitly print() plots from ggplot2 or lattice). The
language in code chunks is not restricted to R (there is simple
support to Python and shell scripts, etc). Many features are borrowed
from or inspired by Sweave, cacheSweave, pgfSweave, brew and decumar.
The digest package provides a function 'digest()' for the creation of
hash digests of arbitrary R objects (using the md5, sha-1, sha-256 and
crc32 algorithms) permitting easy comparison of R language objects, as
well as a function 'hmac()' to create hash-based message
authentication code.
