thinning {stressor}

Thinning Algorithm for Models with Predict Function

Description

Fits various train size and test sizes.

Usage

thinning(
  model,
  data,
  max = 0.95,
  min = 0.05,
  iter = 0.05,
  classification = FALSE
)

Arguments

model

A model that is currently of class type "reg_sine", "reg_asym", "lm", or "mlm_stressor".

data

A data frame with all the data.

max

A numeric value in (0, 1] and greater than 'min', defaulted to .95.

min

A numeric value in (0, 1) and less than 'max', defaulted to .05.

iter

A numeric value to indicate the step size, defaulted to .05.

classification

A Boolean value defaulted 'FALSE', used for 'mlm_classification'.

Value

A list of objects, where the first element is the RMSE values at each iteration and the second element is the predictions.

Examples

 lm_data <- data_gen_lm(1000)
 lm_model <- lm(Y ~ ., lm_data)
 thin_results <- thinning(lm_model, lm_data)