@Override protected void registered(API_VERSION ver) {
super.registered(ver);
Argument c = find("ignored_cols");
Argument r = find("response");
int ci = _arguments.indexOf(c);
int ri = _arguments.indexOf(r);
_arguments.set(ri, c);
_arguments.set(ci, r);
((FrameKeyMultiVec) c).setResponse((FrameClassVec) r);
}
@Override protected void init() {
super.init();
// Check if it make sense to build a model
if (source.numRows()==0)
throw new IllegalArgumentException("Cannot build a model on empty dataset!");
// Does not alter the Response to an Enum column if Classification is
// asked for: instead use the classification flag to decide between
// classification or regression.
Vec[] vecs = source.vecs();
for( int i = cols.length - 1; i >= 0; i-- )
if( vecs[cols[i]] == response )
cols = Utils.remove(cols,i);
final boolean has_constant_response = response.isEnum() ?
response.domain().length <= 1 : response.min() == response.max();
if (has_constant_response)
throw new IllegalArgumentException("Constant response column!");
}
