kurt-o-sys opened a new issue #7349: time series delay output mxnet
URL: https://github.com/apache/incubator-mxnet/issues/7349
   For bugs or installation issues, please provide the following information.
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   ## Environment info
   Operating System:
   $ uname -ar
   Linux flipflap 4.4.0-57-generic #78-Ubuntu SMP Fri Dec 9 23:50:32 UTC 2016 
x86_64 x86_64 x86_64 GNU/Linux
   Compiler: ?
   Package used (Python/R/Scala/Julia): R
   MXNet version:
   > packageVersion("mxnet")
   [1] ?0.10.1?
   > sessionInfo()
   R version 3.4.1 (2017-06-30)
   Platform: x86_64-pc-linux-gnu (64-bit)
   Running under: Linux Mint 18
   Matrix products: default
   BLAS: /usr/lib/openblas-base/libblas.so.3
   LAPACK: /usr/lib/libopenblasp-r0.2.18.so
    [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C               
LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8     LC_MONETARY=de_BE.UTF-8   
    [6] LC_MESSAGES=en_US.UTF-8    LC_PAPER=de_BE.UTF-8       LC_NAME=C         
         LC_ADDRESS=C               LC_TELEPHONE=C            
   attached base packages:
   [1] stats     graphics  grDevices utils     datasets  methods   base     
   other attached packages:
   [1] mxnet_0.10.1 httr_1.2.1   jsonlite_1.5
   loaded via a namespace (and not attached):
    [1] Rcpp_0.12.12       compiler_3.4.1     RColorBrewer_1.1-2 
influenceR_0.1.0   plyr_1.8.4         bindr_0.1          viridis_0.4.0     
    [8] tools_3.4.1        digest_0.6.12      tibble_1.3.3       gtable_0.2.0   
    viridisLite_0.2.0  rgexf_0.15.3       pkgconfig_2.0.1   
   [15] rlang_0.1.1        igraph_1.1.2       rstudioapi_0.6     curl_2.4       
    bindrcpp_0.2       gridExtra_2.2.1    stringr_1.2.0     
   [22] DiagrammeR_0.9.0   dplyr_0.7.2        htmlwidgets_0.9    grid_3.4.1     
    glue_1.1.1         R6_2.2.2           Rook_1.1-1        
   [29] XML_3.98-1.9       ggplot2_2.2.1      magrittr_1.5       
codetools_0.2-15   scales_0.4.1       htmltools_0.3.6    assertthat_0.1    
   [36] colorspace_1.3-2   brew_1.0-6         stringi_1.1.5      
visNetwork_2.0.1   lazyeval_0.2.0     munsell_0.4.3    
   # Question
   Having a rnn to predict a point in time, based in indirect inputs. This is 
not the 'normal' time series prediction in which the future is predicted on the 
last values, but on a bunch of other features. When training, the first S 
(let's say 50) outputs will not be accurate at all. This means, during 
training, I will provide at least 51 inputs (and hence, there will be 51 
outputs as well - 1 output per input). Let's call this number T. I'd only like 
to use only the last outputs (T-50) for the parameter/weights estimation during 
training, omitting the first S. How can I do/achieve that in mxnet?
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