@Override
public void modifyParmsForCrossValidationMainModel(ModelBuilder[] cvModelBuilders) {
_parms._overwrite_with_best_model = false;
if (_parms._stopping_rounds == 0 && _parms._max_runtime_secs == 0)
return; // No exciting changes to stopping conditions
// Extract stopping conditions from each CV model, and compute the best stopping answer
_parms._stopping_rounds = 0;
_parms._max_runtime_secs = 0;
double sum = 0;
for (ModelBuilder cvmb : cvModelBuilders)
sum += ((DeepLearningModel) DKV.getGet(cvmb.dest())).last_scored().epoch_counter;
_parms._epochs = sum / cvModelBuilders.length;
if (!_parms._quiet_mode) {
warn(
"_epochs",
"Setting optimal _epochs to "
+ _parms._epochs
+ " for cross-validation main model based on early stopping of cross-validation models.");
warn(
"_stopping_rounds",
"Disabling convergence-based early stopping for cross-validation main model.");
warn(
"_max_runtime_secs",
"Disabling maximum allowed runtime for cross-validation main model.");
}
}
public static H2OModelBuilderIllegalArgumentException makeFromBuilder(ModelBuilder builder) {
Model.Parameters parameters = builder._parms;
String algo = builder._parms.algoName();
String msg =
"Illegal argument(s) for "
+ algo
+ " model: "
+ builder.dest()
+ ". Details: "
+ builder.validationErrors();
H2OModelBuilderIllegalArgumentException exception =
new H2OModelBuilderIllegalArgumentException(msg, msg);
exception.values = new IcedHashMap.IcedHashMapStringObject();
exception.values.put("algo", algo);
exception.values.put("parameters", parameters);
exception.values.put("error_count", builder.error_count());
exception.values.put("messages", builder._messages);
return exception;
}