orsf_control_custom: Custom ORSF control

In aorsf: Accelerated Oblique Random Forests

Custom ORSF control

Description

Usage

orsf_control_custom(beta_fun, ...)

Arguments

beta_fun

(function) a function to define coefficients used in linear combinations of predictor variables. beta_fun must accept three inputs named x_node, y_node and w_node, and should expect the following types and dimensions: x_node (matrix; n rows, p columns) y_node (matrix; n rows, 2 columns) w_node (matrix; n rows, 1 column) In addition, beta_fun must return a matrix with p rows and 1 column. If any of these conditions are not met, orsf_control_custom() will let you know.

...

Further arguments passed to or from other methods (not currently used).

Value

an object of class 'orsf_control', which should be used as an input for the control argument of orsf.

See Also

linear combination control functions orsf_control_cph(), orsf_control_fast(), orsf_control_net(), orsf_control()

aorsf documentation built on June 22, 2024, 10:31 a.m.