generate_model: Wrapper Function for model generation

In ScottHMcKean/duvernay_geomech_model: A Geostatistical Model of Geomechanical Properties in the Duvernay Play

Wrapper Function for model generation

Description

Wrapper Function for model generation

Usage

generate_model(
  data,
  target,
  features,
  model_type,
  pset,
  prefix,
  seed = 1,
  train_ratio = 0.9,
  mbo_budget = 75L,
  resample_iters = 1000,
  importance_reps = 50
)

Arguments

target	target for model (character)
features	features for model (character vector)
model_type	MLR embedded model type
pset	MLR parameter set for model type
prefix	named prefix of output directory
seed	random seem for resampling
train_ratio	ratio of train data to all data
mbo_budget	budget for bayesian optimization
resample_iters	number of iterations for resampling performance analysis
importance_reps	number of iterations for permutation importance

Value

TRUE

ScottHMcKean/duvernay_geomech_model documentation built on Sept. 12, 2022, 10:08 a.m.