bm_ppr: Fit Projection Pursuit Regression models

Description Usage Arguments Details See Also

View source: R/base-models.r

Description

Learning a Projection Pursuit Regression model from training data. Parameter setting can vary in nterms and sm.method parameters. See ppr for a comprehensive description.

Usage

1
bm_ppr(form, data, lpars)

Arguments

form

formula

data

training data for building the predictive model

lpars

a list containing the learning parameters

Details

Imports learning procedure from stats package.

See Also

other learning models: bm_mars; bm_gaussianprocess; bm_gbm; bm_glm; bm_cubist; bm_randomforest; bm_pls_pcr; bm_ffnn; bm_svr

Other base learning models: bm_cubist(), bm_ffnn(), bm_gaussianprocess(), bm_gbm(), bm_glm(), bm_mars(), bm_pls_pcr(), bm_randomforest(), bm_svr()


tsensembler documentation built on Oct. 27, 2020, 5:07 p.m.