predict.mactivate_fit_gradient_01: Predict from Fitted Gradient Model

In mactivate: Multiplicative Activation

Description

Predict using fitted model returned by f_fit_gradient_01.

Usage

## S3 method for class 'mactivate_fit_gradient_01'
predict(object, X0, U0=NULL, mcols, ...)

Arguments

object	A list of class 'mactivate_fit_gradient_01' as returned by f_fit_gradient_01().
X0	Numeric matrix, N x d. Model ‘primary effect’ inputs.
U0	Numeric matrix with N rows. Inputs to pass to activation layer.
mcols	Scalar non-negative integer specifying which first columns of W to use.
...	Nothing else is required for this extension of the predict() function.

Details

If U0 is not provided, X0 will be passed to activation layer.

Value

yhat. Numeric vector of length N.

See Also

f_fit_gradient_01.

Examples

####### Please see examples in the fitting functions

mactivate documentation built on Aug. 2, 2021, 5:07 p.m.