[R] Can nested data frame be used in machine learning?

[Jeff Newmiller]

predict doesn't know about nesting. You can either unnest or use lapply or purrr:map to create new nested data frames with predicted results, but it is up to you to decide where you want to put the results.

On October 13, 2019 10:03:36 AM PDT, vod vos via R-help <r-help using r-project.org> wrote:
>Hello,
>
>If we got a data frame like below, how to use "data" to predict type, 
> if "data" is another data frame (called nested data frame):
>
>
>by_subject
>#> # A tibble: 1000 x 3
>#>   subject            type       data             
>#>   <fct>                <fct>      <list>           
>#> 1 subject1      aa            <tibble [100 × 10]>
>#> 2 subject2      bb           <tibble [100 × 10]>
>#> 3 subject3      cc            <tibble [100 × 10]>
>#> # … with 997 more rows
>
>
>by_subject$data[[1]]
>#> # A tibble: 100 x 10
>#>    parts      weight    length    height
>#>   <int>     <dbl>       <int>      <dbl>
>#> 1    1         28.8           100          170
>#> 2    2        30.3           105           169
>#> 2    3       10.5            109           189
>#> # … with 97 more rows
>
>Sincerely yours,
>
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-- 
Sent from my phone. Please excuse my brevity.