203f5b792c
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
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