NEWS

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e1071 1.7-16 (2024-09-16)

• fix bug in svmdoc vignette

• fix possible glitch in svm.cpp regarding memory allocation

e1071 1.7-15

• fix bug in read.matrix.csr()

e1071 1.7-14 (2023-12-06)

• 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).

e1071 1.7-13 (2023-02-01)

• add ORCID ids

e1071 1.7-12 (2022-10-24)

• add tune.gknn() wrapper

e1071 1.7-11 (2022-06-07)

• cosmetic changes

e1071 1.7-10

• small fix in coef.svm for sparse data

e1071 1.7-9 (2021-09-16)

• Remove configure code testing for gcc 2.96.

e1071 1.7-8 (2021-07-28)

• 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.

e1071 1.7-7 (2021-05-23)

• Bugfix in examples of cshell()

e1071 1.7-6 (2021-03-18)

• Bugfix in scale_data_frame() - now calls scale() if x is not a data frame.

e1071 1.7-5 (2021-03-15)

• 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.

e1071 1.7-4 (2020-10-14)

• Bug fix: "inverse" argument for class.weights argument in svm.default() did not work

e1071 1.7-2 (2019-06-05)

• Change license to GPL-2 OR GPL-3

• add coef() method for SVMs with linear kernel

e1071 1.7-1 (2019-03-19)

• add warning in predict.naiveBayes() if the variable type (numeric/factor) does not match for training and new data.

• Fix bug in tune when parameter space is sampled

• Fix formula interface for NaiveBayes to account for variable removal

e1071 1.7-0 (2018-07-28)

• Bug fix in lca()

• The class.weights argument of svm() now accepts "inverse", setting the weights inversely proportional to the class distribution

• predict.naiveBayes now fixes the factor levels of newdata to be identical with the training data.

• libsvm updated to version 3.23

e1071 1.6-8 (2017-02-02)

• add and use native symbols for C-code

• naiveBayes() now supports logical variables

e1071 1.6-7 (2015-08-05)

• fix some bug in handling weights in svm.default()

e1071 1.6-6 (2015-07-17)

• 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

e1071 1.6-5

• hamming.distance() no longer converts input to binary

• tune() now uses mean() to aggregate error measures from cross-fold replications

e1071 1.6-4 (2014-09-01)

• 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.

e1071 1.6-3 (2014-03-17)

• remove require() statements and dependency on stats

e1071 1.6-2 (2014-01-11)

• vignettes moved to vignettes folder.

• libsvm upgrade to version 3.17, getting rid of stdout and stderr

e1071 1.6-1 (2012-09-12)

• 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.

e1071 1.6 (2011-09-12)

• bug fix in tune with sparse matrices

• version bump of libsvm to 3.1

• Fixed partial argument matching in several places

• NEWS file changed to .Rd format and moved to ‘inst/’

e1071 1.5-28

• bug fix in svm cross validation

e1071 1.5-27 (2011-07-29)

• svm() now accepts to set the random seed for libsvm.

e1071 1.5-26 (2011-05-22)

• tune() now allows user-specified error functionals.

e1071 1.5-25 (2011-03-05)

• add auto-coercion from Matrix and simple_triplet_matrix objects to predict.svm()

• Bug fix in tune.svm(): when a data frame was provided as validation sample, the response variable was not correctly extracted

e1071 1.5-24 (2010-04-21)

• Cosmetics: use sQuote() instead of hard-coded quotes in warnings and error messages in several places

• Bug fix in labeling of decision values

• add decision.values of fitted values to a svm object

e1071 1.5-23 (2010-03-03)

• Bug fix in svm(): Error messages returned by the C function have not been correctly handled, causing segfaults.

e1071 1.5-22 (2009-12-14)

• minor fix

e1071 1.5-21 (2009-11-11)

• Allow sparse_triplet_matrix objects for svm()

e1071 1.5-20 (2009-10-19)

• More flexible interface to naiveBayes()

• Fix bugs in docs for kurtosis()

e1071 1.5-19 (2009-01-06)

• Fix bugs in read.matrix.csr() and write.matrix.csr()

• Allow Matrix objects for svm()

• Version bump of libsvm to 2.88

e1071 1.5-18 (2008-04-01)

• Improve ‘DESCRIPTION’ install metadata

e1071 1.5-17 (2007-10-19)

• tune() now also returns a dispersion measure of all training samples.

• Bootstrap is done with replacement.

• tune.svm() now also accepts the epsilon parameter.

e1071 1.5-16 (2006-10-09)

• write.svm() now also stores the scaling information for the dependent variable.

• data sets Glass, HouseVotes84, and Ozone removed (are in package mlbench)

• merged help pages for naiveBayes() and predict.naiveBayes()

e1071 1.5-15 (2006-09-20)

• Bug in ‘NAMESPACE’ file fixed (conditional import from utils failed in R 2.3.1)

e1071 1.5-14 (2006-09-20)

• predict.naiveBayes() sped up

• Bug fix in plot.svm() (error in case of training categories without predictions)

• methods now added to ‘⁠Suggests⁠’, and grDevices to ‘⁠Imports⁠’

e1071 1.5-13 (2006-02-07)

• Bug fix: sparse handling was broken since 1.5-9

e1071 1.5-12 (2006-01-11)

• update to libsvm 2.81

• laplace smoothing added to naiveBayes()

e1071 1.5-11 (2005-09-19)

• tune(): allow list of vectors as tune parameter range so that class.weights in svm-models can be tuned

• better default color palette for plot.tune()

• New function probplot() for probability plots

e1071 1.5-10 (2005-09-03)

• Bug fix: class probability prediction was broken since 1.5-9

e1071 1.5-9 (2005-07-25)

• tune() now returns the split indices into training/validation set. Information added about cross validation

• plot.svm(): wrong labeling order in levels fixed

• predict.svm() now adds row numbers to predictions, and correctly handles the na.action argument using napredict().

e1071 1.5-8 (2005-04-06)

• Update to libsvm 2.8 (uses a faster optimization algorithm)

e1071 1.5-7 (2005-02-25)

• read.matrix.csr() did not work correctly with matrix-only objects.

• svm(): Fixed wrong labeling for predicted decision values and probabilities in case of a Class factor created from a non-ordered character vector

e1071 1.5-6 (2005-01-14)

• cmeans() is substantially enhanced, with a complete rewrite of the underlying C code. It is now possible to specify case weights and the relative convergence tolerance. For Manhattan distances, centers are correctly computed as suitably weighted medians (rather than means) of the observations. The print method for fclust objects is now more in parallel with related methods, and registered in the name space.

e1071 1.5-5 (2004-12-27)

• read.octave() is now deprecated in favor of a substantially enhanced version in package foreign for reading in files in Octave text data format.

e1071 1.5-4 (2004-12-21)

• Use lazy loading

e1071 1.5-3 (2004-12-17)

• New arguments in plot.svm() for customizing plot symbols and colors

• Fix of broken code in plot.svm() for the fill = FALSE (non-default) case

e1071 1.5-2 (2004-12-02)

• Fixed memory leak in svm()

e1071 1.5-1 (2004-10-04)

• Fixed C++ style comments

e1071 1.5-0 (2004-10-01)

• Example for weighting added in svm() help page

• upgrade to libsvm 2.6: support for probabilities added

e1071 1.4-1 (2004-06-15)

• NaiveBayes() is more accurate for small probabilities

• call is more sensible in tune(), tune.foo(), and best.foo() objects.

• control parameter of tune() changed to tunecontrol to solve name space conflict with training methods using control themselves

• new function matchControls()

• fixed a bug in bclust() triggered when a cluster had only one center

e1071 1.4-0 (2004-04-20)

• adjusted to restructering of R base packages

• added a ‘NAMESPACE’ file

• Function write.svm() now also creates a file with scaling information

e1071 1.3.16

• Small bug fixes in predict.svm() and plot.svm()

• Function write.svm() added which saves models created with svm() in the format libsvm can read.

e1071 1.3.15

• Bug fix in plot.svm(): non-SVs had wrong colors

• data sets Ozone and Glass added

e1071 1.3.14

• Several Docu bug fixes (for functions plot.bclust(), impute(), stft(), svm.formula(), svm.default())

• upgrade to libsvm 2.5. New feature: predict.svm() optionally returns decision values for multi-class classification

• svm-vignette gave warnings due to rank deficiency in Ozone data

• naiveBayes() now also supports metric predictors, and the standard interface.

e1071 1.3.13

• Bug fixes in svm:

  • Prediction of 1 single observation gave an error

  • Only k instead of k*(k-1)/2 \rho coefficients have been returned by svm (k number of classes), having caused nonsensical results for k > 3.

• The ‘svmdoc’ file in ‘inst/doc’ now is a vignette.

e1071 1.3-12 (2003-09-04)

• The x argument of cmeans() and bclust() is now automatically coerced to a matrix.

• Started ‘tests’ directory

• New method: naiveBayes() classifier for categorical predictors

• optimization of read.matrix.csr() which used to be rather slow

• Bug fixes for the svm() interface: when the data included categorical predictors, the scaling procedure did not only affect the metric variables, but also the binary variables in the model matrix.

• Function scaclust() removed. Bug has to be fixed.

e1071 1.3-10 (2003-03-06)

• Now supports libsvm 2.4

e1071 1.3-9 (2003-03-06)

• rdiscrete() is now simply a wrapper for sample() and provided for backwards compatibility only.

• Minor bug fixes in svm() and tune() (mostly interface issues). New plot function for objects of class svm working for the 2d-classification case.

e1071 1.3-7

• svm() now supports the matrix.csr format, as handled by the SparseM package. Predictors and response variable (if numeric) are scaled per default.

• A new plot() function for svm() objects visualizes classification models by plotting data and support vectors in the data input space, along with the class borders.

• A new generic tune() function allows parameter tuning of arbitrary functions using, e.g., boot strapping, or cross validation. Several convenience wrappers (e.g., for svm(), nnet(), and rpart()) do exist.

e1071 1.3-3 (2002-06-20)

• Bug fixes in various bclust routines: stop() if required packages are not found

• svm() now interfaces LIBSVM 2.35 which is a bug fix release. A call with invalid parameters now no longer causes R to be terminated, and the C(++) code became completely silent.

• Bugs fixed in fclustIndex() function and print.fclust().

e1071 1.3-1 (2002-05-14)

• Functions rmvnorm() and dmvnorm() for multivariate normal distributions have been moved to package mvtnorm.

• Bug fixes in print.fclust() and fclustIndex().

• fixed ‘floyd.c’ (ANSI C pedantic warnings)

e1071 1.2-1 (2001-10-24)

• Bug fixes in ‘cmeans.c’, ‘cshell.c’ and ‘scaclust.c’ (R header files included and unused variables removed)

• Bug fixes in ‘Rsvm.c’ and ‘svm.R’ (incomplete list of returned Support Vectors).

• Encapsulate kmeans call in bclust() in a try() construct, because kmeans gives an error when a cluster becomes empty (which can happen for almost every data set from time to time).

e1071 1.2-0 (2001-10-04)

• Added functions for bagged clustering, see help(bclust).

• read.pnm() and write.pgm() have been removed from e1071, much improved versions can now be found in the new packagepixmap.

• Lots of documentation updates and bugfixes.

• Support Vector Machine interface now upgraded to libsvm V. 2.31 featuring:

  • Multi-Class Classification

  • weighting of classes for C-classification (for asymmetric sample sizes)

  • \nu-regression

  • Formula Interface

  • k-fold cross-validation

  In addition, an introductory article is provided in directory ‘docs/’ (‘svmdoc.pdf’).

• classAgreement() now features an option to match factor levels

• updated API design for the fuzzy clustering functions (cmeans(), cshell(), scaclust()). Documentation updates and function name changes (cmeanscl() to cmeans(), validity.measures() to fclustIndex())