Question

在使用寓言包进行预测时，我尝试使用specials，但是我无法弄清楚如何使用它们的语法，也无法找到可以用作示例的示例。指南。

我在下面举了一个简单的示例，尝试将窗口用于react-native-restart预测模型，但这给我一个错误。

非常感谢您的帮助！

# Load libraries
library(fable)
#> Warning: package 'fable' was built under R version 3.6.3
#> Loading required package: fabletools
#> Warning: package 'fabletools' was built under R version 3.6.3
library(tsibble)
#> Warning: package 'tsibble' was built under R version 3.6.3
library(tsibbledata)
#> Warning: package 'tsibbledata' was built under R version 3.6.3
library(lubridate)
#> Warning: package 'lubridate' was built under R version 3.6.3
#> 
#> Attaching package: 'lubridate'
#> The following object is masked from 'package:tsibble':
#> 
#>     interval
#> The following objects are masked from 'package:base':
#> 
#>     date, intersect, setdiff, union
library(dplyr)
#> Warning: package 'dplyr' was built under R version 3.6.3
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:lubridate':
#> 
#>     intersect, setdiff, union
#> The following object is masked from 'package:tsibble':
#> 
#>     id
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union

# Run example
aus_retail %>%
  filter(
    State %in% c("New South Wales", "Victoria"),
    Industry == "Department stores"
  ) %>% 
  model(
    snaive = SNAIVE(Turnover),
    mean_f = MEAN(Turnover, window(size = 12))
  )
#> Error in hasTsp(x): argument "x" is missing, with no default

^{由MEAN（v0.3.0）于2020-04-23创建}

sessionInfo()
#> R version 3.6.2 (2019-12-12)
#> Platform: x86_64-w64-mingw32/x64 (64-bit)
#> Running under: Windows Server x64 (build 17763)
#> 
#> Matrix products: default
#> 
#> locale:
#> [1] LC_COLLATE=English_Ireland.1252  LC_CTYPE=English_Ireland.1252   
#> [3] LC_MONETARY=English_Ireland.1252 LC_NUMERIC=C                    
#> [5] LC_TIME=English_Ireland.1252    
#> 
#> attached base packages:
#> [1] stats     graphics  grDevices utils     datasets  methods   base     
#> 
#> other attached packages:
#> [1] dplyr_0.8.5       lubridate_1.7.8   tsibbledata_0.1.0 tsibble_0.8.6    
#> [5] fable_0.1.2       fabletools_0.1.3 
#> 
#> loaded via a namespace (and not attached):
#>  [1] Rcpp_1.0.3       compiler_3.6.2   pillar_1.4.3     highr_0.8       
#>  [5] tools_3.6.2      digest_0.6.23    evaluate_0.14    lifecycle_0.2.0 
#>  [9] tibble_3.0.1     gtable_0.3.0     anytime_0.3.7    pkgconfig_2.0.3 
#> [13] rlang_0.4.5      yaml_2.2.0       xfun_0.12        stringr_1.4.0   
#> [17] knitr_1.27       generics_0.0.2   vctrs_0.2.4      grid_3.6.2      
#> [21] tidyselect_1.0.0 glue_1.4.0       R6_2.4.1         rmarkdown_2.1   
#> [25] purrr_0.3.4      ggplot2_3.3.0    tidyr_1.0.2      magrittr_1.5    
#> [29] scales_1.1.0     ellipsis_0.3.0   htmltools_0.4.0  assertthat_0.2.1
#> [33] colorspace_1.4-1 stringi_1.4.5    munsell_0.5.0    crayon_1.3.4

用寓言预测，如何使用特价？

0 个答案: