f_predict_pl_regression: adds predictions to learned pipelearner dataframe

In erblast/oetteR: Collection of personal R functions

Description

adds predictions to learned pipelearner dataframe

Usage

f_predict_pl_regression(pl, cols_id = NULL, formula = NULL,
  col_model = "fit", col_target = "target", data_test = "test",
  data_train = "train")

Arguments

pl	learned pipelearner dataframe
cols_id	character vector naming id column
formula	Default: NULL
col_model	character vector naming model column, Default: 'fit'
col_target	character vector naming target column, Default: 'target'
data_test	character vector naming test data column, Default: 'test'
data_train	character vector naming train data column, Default: 'train'#' @return dataframe

See Also

f_predict_regression_add_predictions

Examples

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_models( gamlss::gamlss, form ) %>%
  pipelearner::learn() %>%
  f_predict_pl_regression( cols_id = 'names' )

erblast/oetteR documentation built on May 27, 2019, 12:11 p.m.