feature_map.md
In mildsvm: Multiple-Instance Learning with Support Vector Machines

Nystrom feature map prints correctly

Code
  kfms <- list(default = kfm_nystrom(df), supplied_sample = kfm_nystrom(df,
    sampling = 1:7), stratified_sample = kfm_nystrom(df2, sampling = "stratified"),
  `low m` = kfm_nystrom(df, m = 5), `low r` = kfm_nystrom(df, r = 5), sigma = kfm_nystrom(
    df, sigma = 0.05)) %>% suppressWarnings() %>% suppressMessages()
  print(kfms)
Output
  $default
  A Nystrom kernel feature map object

  Parameters: 
    m: 7 
    r: 7 
    kernel: radial  (sigma = NULL) 
    sampling: random


  $supplied_sample
  A Nystrom kernel feature map object

  Parameters: 
    m: 7 
    r: 7 
    kernel: radial  (sigma = NULL) 
    sampling: user supplied sampling


  $stratified_sample
  A Nystrom kernel feature map object

  Parameters: 
    m: 196 
    r: 196 
    kernel: radial  (sigma = NULL) 
    sampling: user supplied sampling


  $`low m`
  A Nystrom kernel feature map object

  Parameters: 
    m: 5 
    r: 5 
    kernel: radial  (sigma = NULL) 
    sampling: random


  $`low r`
  A Nystrom kernel feature map object

  Parameters: 
    m: 7 
    r: 5 
    kernel: radial  (sigma = NULL) 
    sampling: random


  $sigma
  A Nystrom kernel feature map object

  Parameters: 
    m: 7 
    r: 7 
    kernel: radial  (sigma = 0.05) 
    sampling: random