rmw_predict_the_test_set: Functions to use a model to predict the observations within a...

In rmweather: Tools to Conduct Meteorological Normalisation and Counterfactual Modelling for Air Quality Data

Functions to use a model to predict the observations within a test set after rmw_calculate_model.

Description

rmw_predict_the_test_set uses data withheld from the training of the model and therefore can be used for investigating overfitting.

Usage

rmw_predict_the_test_set(model, df)

Arguments

model	A ranger model object from rmw_calculate_model.
df	Input data used to calculate model.

Value

Tibble.

Author(s)

Stuart K. Grange

Examples

# Load package
library(dplyr)

# Prepare example data
data_london_prepared <- data_london %>% 
  filter(variable == "no2") %>% 
  rmw_prepare_data()

# Use the test set for prediction
rmw_predict_the_test_set(
  model_london, 
  df = data_london_prepared
)

# Predict, then produce a hex plot of the predictions
rmw_predict_the_test_set(
  model_london, 
  df = data_london_prepared
) %>% 
  rmw_plot_test_prediction()

rmweather documentation built on June 22, 2024, 9:33 a.m.