| data.desc-class(mlr) | R Documentation |
Since not all classifiers can deal with all kind of data, the properties of the data are compared
with the supported features of the learner when a learn.task is generated.
A data.desc object contains a description of these data properties.
target.col:integer) Column index of the responseis.classification:logical) Is the target variable categorical?class.nr:integer) Does the dataset have missing values?has.missing:logical) Does the dataset have missing values?numerics:integer) Does the dataset have numeric variables?integers:integer) Does the dataset have integer variables?factors:integer) Does the dataset have factor variables?characters:integer) Does the dataset have character variables?obs:integer) Number of examples in dataset.initializesignature( = "data.desc"): Constructor.