Description Usage Arguments Value See Also Examples
use this function to get a quick summary of pipelearner dataframe with unnested predictions. Will group by title
1 |
pl |
pipelearner dataframe with nested predictions |
dataframe with mape, mea, rtmse and median versions
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | form = as.formula( 'disp~cyl+mpg')
pl = mtcars %>%
mutate(names = row.names(.)) %>%
pipelearner::pipelearner() %>%
pipelearner::learn_models( rpart::rpart, form ) %>%
pipelearner::learn_models( randomForest::randomForest, form ) %>%
pipelearner::learn_models( e1071::svm, form ) %>%
pipelearner::learn() %>%
f_predict_pl_regression( 'names' ) %>%
unnest( preds , .drop = FALSE ) %>%
mutate( title = model ) %>%
f_predict_pl_regression_summarize()
pl
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