predict.cv.biglasso  R Documentation 
cv.biglasso
objectExtract predictions from a fitted cv.biglasso
object.
## S3 method for class 'cv.biglasso' predict( object, X, row.idx = 1:nrow(X), type = c("link", "response", "class", "coefficients", "vars", "nvars"), lambda = object$lambda.min, which = object$min, ... ) ## S3 method for class 'cv.biglasso' coef(object, lambda = object$lambda.min, which = object$min, ...)
object 
A fitted 
X 
Matrix of values at which predictions are to be made. It must be a

row.idx 
Similar to that in 
type 
Type of prediction: 
lambda 
Values of the regularization parameter 
which 
Indices of the penalty parameter 
... 
Not used. 
The object returned depends on type
.
Yaohui Zeng and Patrick Breheny
Maintainer: Yaohui Zeng <yaohui.zeng@gmail.com>
biglasso
, cv.biglasso
## Not run: ## predict.cv.biglasso data(colon) X < colon$X y < colon$y X.bm < as.big.matrix(X, backingfile = "") fit < biglasso(X.bm, y, penalty = 'lasso', family = "binomial") cvfit < cv.biglasso(X.bm, y, penalty = 'lasso', family = "binomial", seed = 1234, ncores = 2) coef < coef(cvfit) coef[which(coef != 0)] predict(cvfit, X.bm, type = "response") predict(cvfit, X.bm, type = "link") predict(cvfit, X.bm, type = "class") predict(cvfit, X.bm, lambda = "lambda.1se") ## End(Not run)
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