pkgsrc/math/R-e1071/distinfo

$NetBSD: distinfo,v 1.4 2013/08/15 09:34:23 wen Exp $

SHA1 (R/e1071_1.6-1.tar.gz) = d95d38445003a8120fc96e73667c9bdd90b77392
RMD160 (R/e1071_1.6-1.tar.gz) = 76b0f58d4eb758d21795ac1e9a0fb93d6193f319
Size (R/e1071_1.6-1.tar.gz) = 258910 bytes
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. 2013-08-15 11:34:23 +02:00			$NetBSD: distinfo,v 1.4 2013/08/15 09:34:23 wen Exp $
Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged clustering, naive Bayes classifier, ... 2009-12-11 20:09:46 +01:00
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. 2013-08-15 11:34:23 +02:00			`SHA1 (R/e1071_1.6-1.tar.gz) = d95d38445003a8120fc96e73667c9bdd90b77392`
			`RMD160 (R/e1071_1.6-1.tar.gz) = 76b0f58d4eb758d21795ac1e9a0fb93d6193f319`
			`Size (R/e1071_1.6-1.tar.gz) = 258910 bytes`