aRid_linreg: Function that builds an arid_linreg class model object that...

In UBC-MDS/aRidanalysis: DRY out your regression analysis!

Description

Function that builds an arid_linreg class model object that provides sklearn linear regression interface functionality and attributes. The arid_linreg function instantiates a linear regression model type based on the input specifications and provides methods to fit/predict/score the results and retrieve the calculated sklearn coefficients.

Usage

arid_linreg(regularization = NULL, lambda = NULL)

Arguments

regularization	(character): A string defining NULL,'L1','L2', or 'L1L2' linear coefficient regularization (default: NULL)
lambda	(double):the numeric regularization strength value

Value

arid_linreg: an arid_linreg class linear regression model object

Examples

model <- arid_linreg()
model$fit(matrix(1:12, nrow = 3, ncol = 3), as.matrix(c(1,2,0)))
model$predict(t(as.matrix(c(1,2,2))))
model$score()

UBC-MDS/aRidanalysis documentation built on March 31, 2021, 5:19 p.m.