Sample initialization in portfolio (#1400)

* Sample initialization in portfolio * done * fix * fix * fix Co-authored-by: Jeremy Rapin <[email protected]>
facebookresearch · May 1, 2022 · 5540474 · 5540474
1 parent ad4b48b
commit 5540474
Showing 1 changed file with 5 additions and 0 deletions.
diff --git a/nevergrad/optimization/optimizerlib.py b/nevergrad/optimization/optimizerlib.py
@@ -1447,6 +1447,7 @@ def _internal_ask_candidate(self) -> p.Parameter:
             self._current += 1
             optim_index = self._current % len(self.optims)
             opt = self.optims[optim_index]
+
             if opt.num_workers > opt.num_ask - (opt.num_tell - opt.num_tell_not_asked):
                 break  # if there are workers left, use this optimizer
             if k > num:
@@ -1455,6 +1456,10 @@ def _internal_ask_candidate(self) -> p.Parameter:
         if optim_index is None:
             raise RuntimeError("Something went wrong in optimizer selection")
         opt = self.optims[optim_index]
+        if optim_index > 1 and not opt.num_ask and not opt._suggestions and not opt.num_tell:
+            # most algorithms start at 0, lets avoid that for all but the first if they have no information
+            opt._suggestions.append(self.parametrization.sample())
+            # (hacky suggestion to avoid calling args and kwargs)
         candidate = opt.ask()
         candidate._meta["optim_index"] = optim_index
         return candidate