public GLMModelV3 make_model(int version, MakeGLMModelV3 args) {
GLMModel model = DKV.getGet(args.model.key());
if (model == null) throw new IllegalArgumentException("missing source model " + args.model);
String[] names = model._output.coefficientNames();
Map<String, Double> coefs = model.coefficients();
for (int i = 0; i < args.names.length; ++i) coefs.put(args.names[i], args.beta[i]);
double[] beta = model.beta().clone();
for (int i = 0; i < beta.length; ++i) beta[i] = coefs.get(names[i]);
GLMModel m =
new GLMModel(
args.dest != null ? args.dest.key() : Key.make(),
model._parms,
null,
new double[] {.5},
Double.NaN,
Double.NaN,
-1);
DataInfo dinfo = model.dinfo();
dinfo.setPredictorTransform(TransformType.NONE);
// GLMOutput(DataInfo dinfo, String[] column_names, String[][] domains, String[]
// coefficient_names, boolean binomial) {
m._output =
new GLMOutput(
model.dinfo(),
model._output._names,
model._output._domains,
model._output.coefficientNames(),
model._output._binomial,
beta);
DKV.put(m._key, m);
GLMModelV3 res = new GLMModelV3();
res.fillFromImpl(m);
return res;
}
