View source: R/alluvial_model_response.R
tidy_imp | R Documentation |
returns dataframe with exactly two columns, vars and imp and aggregates dummy encoded variables. Helper function called by all functions that take an imp parameter. Can be called manually if formula for aggregating dummy encoded variables must be modified.
tidy_imp(imp, df, .f = max, resp_var = NULL)
imp |
dataframe or matrix with feature importance information |
df |
dataframe, modeling training data |
.f |
window function, Default: max |
resp_var |
character, prediction variable, can usually be inferred from imp and df. It does not work for all models and needs to be specified in those cases. |
dataframe
character column with feature names
numerical column, importance values
# randomforest
df = mtcars2[, ! names(mtcars2) %in% 'ids' ]
m = randomForest::randomForest( disp ~ ., df)
imp = m$importance
tidy_imp(imp, df)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.