predict.sgd: Model Predictions

In sgd: Stochastic Gradient Descent for Scalable Estimation

Model Predictions

Description

Form predictions using the estimated model parameters from stochastic gradient descent.

Usage

## S3 method for class 'sgd'
predict(object, newdata, type = "link", ...)

predict_all(object, newdata, ...)

Arguments

object	object of class sgd.
newdata	design matrix to form predictions on
type	the type of prediction required. The default "link" is on the scale of the linear predictors; the alternative '"response"' is on the scale of the response variable. Thus for a default binomial model the default predictions are of log-odds (probabilities on logit scale) and 'type = "response"' gives the predicted probabilities. The '"terms"' option returns a matrix giving the fitted values of each term in the model formula on the linear predictor scale.
...	further arguments passed to or from other methods.

Details

A column of 1's must be included to newdata if the parameters include a bias (intercept) term.

sgd documentation built on May 29, 2024, 5:31 a.m.