我正在尝试使用R中的Caret包训练神经网络模型，并遇到有关缺少RMSE度量值的错误消息 . 有没有人遇到过这个错误？
以下是我的代码示例和收到的错误消息：
install.packages("caret")
library(caret)
ctrl <- trainControl(method = "timeslice", initialWindow = 8000, horizon = 2000,
fixedWindow = TRUE)
install.packages("nnet")
library(nnet)
system.time({lmFiltered4 <- train(fgdDataTAvg2TrainXD, fgdDataTAvg2TrainY,
method = "avNNet",
size = 10,
decay = 0.1,
trControl = ctrl,
preProc = c("center", "scale"),
linout = TRUE,
trace = FALSE,
MaxNWts = 10 * (ncol(fgdDataTAvg2TrainXD) +1) + 10 + 1,
maxit = 500)})
Something is wrong; all the RMSE metric values are missing:
RMSE Rsquared
Min. : NA Min. : NA
1st Qu.: NA 1st Qu.: NA
Median : NA Median : NA
Mean :NaN Mean :NaN
3rd Qu.: NA 3rd Qu.: NA
Max. : NA Max. : NA
NA's :9 NA's :9
Error in train.default(fgdDataTAvg2TrainXD, fgdDataTAvg2TrainY, size = 10, :
Stopping
In addition: Warning message:
In nominalTrainWorkflow(x = x, y = y, wts = weights, info = trainInfo, :
There were missing values in resampled performance measures.
Timing stopped at: 23461.03 69670.62 6671.223
1 回答
尝试删除可选参数并检查 . 例如，删除“lineout”