From 8cfaa3e50d6b96605b9efbc37d1b628bac29f324 Mon Sep 17 00:00:00 2001 From: Gertjan van den Burg Date: Thu, 5 Apr 2018 11:52:48 -0400 Subject: make examples faster --- man/gensvm.Rd | 4 ++-- man/plot.gensvm.Rd | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) (limited to 'man') diff --git a/man/gensvm.Rd b/man/gensvm.Rd index 4f5d614..cee2b35 100644 --- a/man/gensvm.Rd +++ b/man/gensvm.Rd @@ -115,8 +115,8 @@ fit <- gensvm(x, y, epsilon=1e-3) fit <- gensvm(x, y, max.iter=1000) # Nonlinear training -fit <- gensvm(x, y, kernel='rbf') -fit <- gensvm(x, y, kernel='poly', degree=2, gamma=1.0) +fit <- gensvm(x, y, kernel='rbf', max.iter=5000) +fit <- gensvm(x, y, kernel='poly', degree=2, gamma=1.0, max.iter=5000) # Setting the random seed and comparing results fit <- gensvm(x, y, random.seed=123) diff --git a/man/plot.gensvm.Rd b/man/plot.gensvm.Rd index 6e19228..dc4ca38 100644 --- a/man/plot.gensvm.Rd +++ b/man/plot.gensvm.Rd @@ -66,7 +66,7 @@ plot(fit, y.mis.true, newdata=x.mis) # plot a 2-d model xx <- x[y \%in\% c('versicolor', 'virginica'), ] yy <- y[y \%in\% c('versicolor', 'virginica')] -fit <- gensvm(xx, yy, kernel='rbf', max.iter=5000) +fit <- gensvm(xx, yy, kernel='rbf', max.iter=1000) plot(fit) } -- cgit v1.2.3