inputs: Model Inputs

In MachineShop: Machine Learning Models and Tools

Model Inputs

Description

Model inputs are the predictor and response variables whose relationship is determined by a model fit. Input specifications supported by MachineShop are summarized in the table below.

formula	Traditional model formula
matrix	Design matrix of predictors
ModelFrame	Model frame
ModelSpecification	Model specification
recipe	Preprocessing recipe roles and steps

Response variable types in the input specifications are defined by the user with the functions and recipe roles:

Response Functions	BinomialVariate
	DiscreteVariate
	factor
	matrix
	NegBinomialVariate
	numeric
	ordered
	PoissonVariate
	Surv
Recipe Roles	role_binom
	role_surv

Inputs may be combined, selected, or tuned with the following meta-input functions.

ModelSpecification	Model specification
SelectedInput	Input selection from a candidate set
TunedInput	Input tuning over a parameter grid

See Also

fit, resample

MachineShop documentation built on Sept. 18, 2023, 5:06 p.m.