if (not max_runs or max_runs < 0) and not compute_metric_callback:
msg = "Undefined STOP condition, set stop_callback or max_runs"
- raise RuntimeError, msg
+ raise RuntimeError(msg)
if compute_metric_callback and not evaluate_convergence_callback:
evaluate_convergence_callback = self.evaluate_normal_convergence
if len(metrics) == 0:
msg = "0 samples collected"
- raise RuntimeError, msg
+ raise RuntimeError(msg)
x = numpy.array(metrics)
n = len(metrics)
ec.release()
if ec.state == ECState.FAILED:
- raise RuntimeError, "Experiment failed"
+ raise RuntimeError("Experiment failed")
return ec