gd_e: Prediction errors

In jeksterslabds/jeksterslabRds: Jekster's Lab Data Science and Statistics

Description

\mathbf{\hat{y}} - \mathbf{y}

Usage

gd_e(w, X, y, aFUN, ...)

Arguments

w	Vector of weights.
X	The data matrix, that is an n \times k matrix of n observations of k regressors, which includes a regressor whose value is 1 for each observation.
y	n \times 1 vector of observations on the dependent variable.
aFUN	Activation function.
...	Arguments to pass to aFUN.

Details

Activation functions:

• aFUN = eval for linear regression

• aFUN = sign for single layer perceptron

Value

Returns prediction errors.

jeksterslabds/jeksterslabRds documentation built on July 16, 2020, 3:41 p.m.