tests/testthat/_snaps/mi_df.md

In mildsvm: Multiple-Instance Learning with Support Vector Machines

Printing methods work as expected

Code
  print(df)
Output
  # An MI data frame: 3 x 3 with 2 bags
  # and instance labels: 0, 1, 0
    bag_label bag_name    X1
    <fct>     <chr>    <dbl>
  1 1         bag_1     -0.4
  2 1         bag_1      0.5
  3 0         bag_2      2

Code
  print(df)
Output
  # An MI data frame: 6 x 3 with 2 bags
  # and instance labels: 0, 1, 0, 0, 1, ...
    bag_label bag_name    X1
    <fct>     <chr>    <dbl>
  1 1         bag_1     -0.4
  2 1         bag_1      0.5
  3 0         bag_2      2  
  4 1         bag_1     -0.4
  5 1         bag_1      0.5
  6 0         bag_2      2

Code
  print(df)
Output
  # An MI data frame: 3 x 3 with 2 bags
    bag_label bag_name    X1
    <fct>     <chr>    <dbl>
  1 1         bag_1     -0.4
  2 1         bag_1      0.5
  3 0         bag_2      2

Code
  print(df)
Output
  # An MI data frame: 3 x 3 with 2 bags
    bag_label bag_name    X1
    <fct>     <chr>    <dbl>
  1 1         bag_1     -0.4
  2 1         bag_1      0.5
  3 0         bag_2      2

Code
  print(df, n = 2)
Output
  # An MI data frame: 3 x 3 with 2 bags
    bag_label bag_name    X1
    <fct>     <chr>    <dbl>
  1 1         bag_1     -0.4
  2 1         bag_1      0.5
  # ... with 1 more row

mildsvm documentation built on July 14, 2022, 9:08 a.m.