错误使用前馈神经网络时，从“预测”包

我一直使用从forecast包nnetar功能时，得到了以下错误：错误使用前馈神经网络时，从“预测”包

Error in rowMeans(sapply(fit, predict)) : 'x' must be an array of at least two dimensions Called from: rowMeans(sapply(fit, predict))

但没有错误，当我采取相同的输入数据并逐行运行nnetar函数（我可以做它，因为它的源可用）。你能帮我理解错误背后的原因吗？

代码重现错误：

library("forecast") 

x <- structure(c(75.4076478, 74.77923336, 74.27204018, 73.47822515, 
      73.29823134, 72.91366804, 73.26790178, 74.09299464, 74.95585689, 
      75.43382793, 77.15040162, 78.22886226, 78.30629811, 78.79626749, 
      78.58930659, 77.3918156, 76.9386785, 76.39462267, 75.96094635, 
      75.20484764, 73.75982041, 73.37559835, 73.28544776, 72.63796541 
), .Tsp = c(1, 1.95833333333333, 24), class = "ts") 

nnetar(x, p = 6)

会议信息：

R version 3.3.0 (2016-05-03) 
Platform: x86_64-w64-mingw32/x64 (64-bit) 
Running under: Windows 7 x64 (build 7601) Service Pack 1 

locale: 
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 
[3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C       
[5] LC_TIME=English_United States.1252  

attached base packages: 
[1] stats  graphics grDevices utils  datasets methods base  

other attached packages: 
[1] forecast_8.0 

loaded via a namespace (and not attached): 
[1] Rcpp_0.12.9  quadprog_1.5-5 lattice_0.20-33 zoo_1.7-14  lmtest_0.9-35  
[6] assertthat_0.1 grid_3.3.0  plyr_1.8.4  gtable_0.2.0  magrittr_1.5  
[11] scales_0.4.1  ggplot2_2.2.1  lazyeval_0.2.0 tseries_0.10-40 fracdiff_1.4-2 
[16] timeDate_3012.100 tools_3.3.0  munsell_0.4.3  parallel_3.3.0 colorspace_1.3-2 
[21] nnet_7.3-12  tibble_1.2

来源

2017-06-16 Natrave Drova

这适用于我：nnetar（as.numeric（x），p = 6） – Stergios

这也适用于我，谢谢。当输入是'ts'对象时，为什么它不起作用仍然不清楚。 –