Question

我正在运行这段代码：

rf.mod <- caret::train(as.factor(traincpdf$lab) ~ ., method="rf",
            preProcess = "pca", data=traincpdf, verbose = FALSE)

我获得了以下内容：

 *** caught segfault ***
address 0x110, cause 'memory not mapped'

  *** caught segfault ***
 address 0x110, cause 'memory not mapped'

  *** caught segfault ***
 address 0x110, cause 'memory not mapped'

  *** caught segfault ***
 address 0x110, cause 'memory not mapped'

 Traceback:
  1: La.svd(x, nu, nv)
  2: svd(x, nu = 0)
  3: prcomp.default(x[, method$pca, drop = FALSE], scale = TRUE, retx = FALSE)
  4: prcomp(x[, method$pca, drop = FALSE], scale = TRUE, retx = FALSE)
  5: preProcess.default(thresh = 0.95, k = 5, method = "pca", x = c(0.86275, 0.90196, 0.90196, 0.87059, 1, 0.78431, 0.78431, 0.85359, 0.85359, 1, 1, 1, 0.71503, 1, 1, 1, 1, 1, 0.95948, 0.94379, 0.93464, 0.94248, 0.95425, 0.93072, 0.94641, 0.94641, 0.94641, 0.9634, 0.9634, 1, 1, 1, 1, 0.79281, 0.79281, 1, 1, 1, 0.90327, 1, 1, 1, 1, 1, 1, 1, 0.86667, 0.6549, 0.6902, 0.91242, 0.91242, 0.91765, 1, 1, 1, 1, 1, 1, 1, 0.97386, 0.97386, 0.97386, 1, 1, 0.078431, 0.078431, 1, 0.75033, 0.78039, 1, 1, 0.84837, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.20131, 1, 1, 1, 1, 0.16601, 0.16601, 0.96993, 1, 0.99216, 0.99216, 0.99216, 0.94379, 0.94379, 0.95686, 0.96732, 1, 1, 1, 1, 1, 0.96863, 0.96863, 0.96863, 
 Traceback:
 0.96863, 0.96863, 1, 
 Traceback:

 Traceback:
  1:  1:  1: 0.9281, 0.9281, 0.9281, 0.95425, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, La.svd(x, nu, nv)La.svd(x, nu, nv)La.svd(x, nu, nv)

 ...

我发现this post他们建议删除并重新安装所有软件包，这对我来说似乎有点激烈。

所有这些命令La.svd(x, nu, nv)，prcomp完全独立运行，并且插入命令本身在没有pca选项的情况下运行完美，即：

rf.mod <- caret::train(as.factor(traincpdf$lab) ~ ., method="rf",
                       data=traincpdf, verbose = FALSE)

任何人都知道如何解决这个问题

 *** caught segfault ***
 address 0x110, cause 'memory not mapped'

错误

由于

R插入包“抓住了段错”

0 个答案: