Predict from a dorem

Predict from a dorem

# S3 method for dorem
predict(object, new_data, type = "numeric", ...)

Arguments

object	A dorem object.
new_data	A data frame or matrix of new predictors.
type	A single character. The type of predictions to generate. Valid options are: "numeric" for numeric predictions.
...	Not used, but required for extensibility.

Value

A tibble of predictions. The number of rows in the tibble is guaranteed to be the same as the number of rows in new_data.

Examples

require(tidyverse)

data("bike_score")

banister_model <- dorem(
  Test_5min_Power ~ BikeScore,
  bike_score,
  method = "banister"
)
#> Performing banister method using L-BFGS-B optimization
#> Training the model...
#> Done!

bike_score$pred <- predict(banister_model, bike_score)$.pred

ggplot(bike_score, aes(x = Day, y = pred)) +
  theme_bw() +
  geom_line() +
  geom_point(aes(y = Test_5min_Power), color = "red") +
  ylab("Test 5min Power")
#> Warning: Removed 156 rows containing missing values (geom_point).