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Use a deweather model to predict with a new dataset

Source: R/predict_dw.R
predict_dw.Rd

This function is a convenient wrapper around parsnip::predict.model_fit() to use a deweather model for prediction. This automatically extracts relevant parts of the deweather object and creates variables within newdata using append_dw_vars() if required.

Usage

predict_dw(
  dw,
  newdata = deweather::get_dw_input_data(dw),
  name = deweather::get_dw_pollutant(dw),
  column_bind = FALSE
)

Arguments

dw

A deweather model created with build_dw_model().

newdata

Data set to which to apply the model. If missing the data used to build the model in the first place will be used.

name

The name of the new column.

column_bind

If TRUE, this function will return newdata with an additional prediction column bound to it. If FALSE, return a single-column data frame.

Value

a tibble

Author

Jack Davison