# Copyright (C) 2013 INRIA
#
# This program is free software: you can redistribute it and/or modify
-# it under the terms of the GNU General Public License as published by
-# the Free Software Foundation, either version 3 of the License, or
-# (at your option) any later version.
+# it under the terms of the GNU General Public License version 2 as
+# published by the Free Software Foundation;
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
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