predict.graper {graper} | R Documentation |
Function to predict the response on a new data set using a fitted graper model.
## S3 method for class 'graper' predict(object, newX, type = c("inRange", "response", "link"), ...)
object |
fitted graper model as obtained from |
newX |
Predictor matrix of size n_test
(number of new test samples) x p (number of predictors)
(same feature structure as used in |
type |
type of prediction returned, either:
|
... |
other arguments |
A vector with predictions.
# create data dat <- makeExampleData() ntrain <- dat$n/2 fit <- graper(dat$X[seq_len(ntrain),], dat$y[seq_len(ntrain)], dat$annot) ypred <- predict(fit, dat$X[seq_len(ntrain) + dat$n/2,]) dat <- makeExampleData(response="bernoulli") ntrain <- dat$n/2 fit <- graper(dat$X[seq_len(ntrain),], dat$y[seq_len(ntrain)], dat$annot, family = "binomial") ypred <- predict(fit, dat$X[seq_len(ntrain) + dat$n/2,])