run_model: Run a model and extract features

In d3m-purdue/d3mLm: Gets linear model diagnostics

Description

Run a model and extract features

Usage

run_model(data, response, predictor_variables, model_fn, model_name, ...)

run_lm(data, response, predictor_variables)

run_quadratic(data, response, predictor_variables, quadratic_variables)

run_loess(data, response, predictor_variables)

Arguments

data	data used. (data.frame)
response	single response variable to be used. (character)
predictor_variables	name of all predictor variables to be used. (character vector)
model_fn	function to create the model object
model_name	string of function name to create the model object
...	items passed to extract_model
quadratic_variables	name of quadratic variables. (character vector)

Examples

run_lm(iris, "Sepal.Length", c("Sepal.Width", "Petal.Width"))
run_quadratic(iris, "Sepal.Length", c("Sepal.Width", "Petal.Width"), c("Sepal.Width"))
run_loess(iris, "Sepal.Length", c("Sepal.Width", "Petal.Width"))

d3m-purdue/d3mLm documentation built on May 20, 2019, 2:25 p.m.