tidy_predict {autostats}

tidy predict

Description

tidy predict

Usage

tidy_predict(
  model,
  newdata,
  form = NULL,
  olddata = NULL,
  bind_preds = FALSE,
  ...
)

## S3 method for class 'Rcpp_ENSEMBLE'
tidy_predict(model, newdata, form = NULL, ...)

## S3 method for class 'glm'
tidy_predict(model, newdata, form = NULL, ...)

## Default S3 method:
tidy_predict(model, newdata, form = NULL, ...)

## S3 method for class 'BinaryTree'
tidy_predict(model, newdata, form = NULL, ...)

## S3 method for class 'xgb.Booster'
tidy_predict(
  model,
  newdata,
  form = NULL,
  olddata = NULL,
  bind_preds = FALSE,
  ...
)

## S3 method for class 'lgb.Booster'
tidy_predict(
  model,
  newdata,
  form = NULL,
  olddata = NULL,
  bind_preds = FALSE,
  ...
)

Arguments

model

model

newdata

dataframe

form

the formula used for the model

olddata

training data set

bind_preds

set to TURE if newdata is a dataset without any labels, to bind the new and old data with the predictions under the original target name

...

other parameters to pass to predict

Value

dataframe

Examples

iris %>%
 framecleaner::create_dummies(Species) -> iris_dummy

iris_dummy %>%
 tidy_formula(target= Petal.Length) -> petal_form

iris_dummy %>%
 tidy_xgboost(
   petal_form,
   trees = 20,
   mtry = .5
 )  -> xg1


xg1 %>%
 tidy_predict(newdata = iris_dummy, form = petal_form) %>%
 head()