isregression: Estimate from labels whether this is a regression problem
In rdetools: Relevant Dimension Estimation (RDE) in Feature Spaces

Description Usage Arguments Value Author(s) See Also Examples

Estimates whether this is a regression or classification problem by looking at the labels. If all labels are only -1 and 1 a classification problem is assumed, otherwise a regression problem. If the argument 'regression' is TRUE, the function always returns TRUE.

1	isregression(y, regression = FALSE)

`y`	label vector for which the kind of problem should be estimated
`regression`	if `regression` is TRUE, the function returns always TRUE, if you want an estimation leave this FALSE

TRUE, if this is a regression problem or the argument regression was TRUE, otherwise FALSE

Jan Saputra Mueller

rde_loocv, rde_tcm, estnoise

## some examples
y_cl <- c(-1, 1, 1, -1, 1) # label vector for classification problem
y_reg <- runif(5) # label vector for regression problem
isregression(y_cl) # FALSE!
isregression(y_cl, regression = TRUE) # Always TRUE!
isregression(y_reg) # TRUE!