mactivate (version 0.6.6)

predict.mactivate_fit_gradient_01: Predict from Fitted Gradient Model

Description

Predict using fitted model returned by f_fit_gradient_01.

Usage

# S3 method for 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.

Value

yhat. Numeric vector of length N.

Details

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

See Also

f_fit_gradient_01.

Examples

# NOT RUN {
####### Please see examples in the fitting functions
# }