I have these errors:
python tune.py danasah800_uci -opp-engine danasah730_uci -concurrency=7 -movetime 200 -book book.pgn -games-file tune.pgn -opt Parameter1 -opt Parameter2 -n 500 -log-file data.log
Starting game 304/334 with {'Parameter1': 200, 'Parameter2': 80}
[196, 80] => 1
Exception in callback run.<locals>.on_done([200, 80], 2)(<Task finishe...>], -2, None)>) at tune.py:259 handle: <Handle run.<locals>.on_done([200, 80], 2)(<Task finishe...>], -2, None)>) at tune.py:259> Traceback (most recent call last): File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\asyncio\events.py", line 88, in _run self._context.run(self._callback, *self._args) File "tune.py", line 272, in on_done opt.tell(x, -y) # opt is minimizing File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\site-packages\skopt\optimizer\optimizer.py", line 443, in tell return self._tell(x, y, fit=fit) File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\site-packages\skopt\optimizer\optimizer.py", line 502, in _tell acq_func_kwargs=self.acq_func_kwargs) File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\site-packages\skopt\acquisition.py", line 50, in _gaussian_acquisition func_and_grad = gaussian_ei(X, model, y_opt, xi, return_grad) File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\site-packages\skopt\acquisition.py", line 276, in gaussian_ei mu, std = model.predict(X, return_std=True) File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\site-packages\skopt\learning\gaussian_process\gpr.py", line 324, in predict y_var -= np.einsum("ki,kj,ij->k", K_trans, K_trans, K_inv) File "<__array_function__ internals>", line 6, in einsum File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\site-packages\numpy\core\einsumfunc.py", line 1356, in einsum return c_einsum(*operands, **kwargs) ValueError: iterator is too large
Exception in callback run.<locals>.on_done([197, 80], 0)(<Task finishe...>], -1, None)>) at tune.py:259 handle: <Handle run.<locals>.on_done([197, 80], 0)(<Task finishe...>], -1, None)>) at tune.py:259> Traceback (most recent call last): File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\asyncio\events.py", line 88, in _run self._context.run(self._callback, *self._args) File "tune.py", line 272, in on_done opt.tell(x, -y) # opt is minimizing File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\site-packages\skopt\optimizer\optimizer.py", line 443, in tell return self._tell(x, y, fit=fit) File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\site-packages\skopt\optimizer\optimizer.py", line 489, in _tell self.gains_ -= est.predict(np.vstack(self.next_xs_)) File "<__array_function__ internals>", line 6, in vstack File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\site-packages\numpy\core\shape_base.py", line 282, in vstack return _nx.concatenate(arrs, 0) File "<__array_function__ internals>", line 6, in concatenate ValueError: need at least one array to concatenate
I have these errors:
python tune.py danasah800_uci -opp-engine danasah730_uci -concurrency=7 -movetime 200 -book book.pgn -games-file tune.pgn -opt Parameter1 -opt Parameter2 -n 500 -log-file data.log
Exception in callback run.<locals>.on_done([200, 80], 2)(<Task finishe...>], -2, None)>) at tune.py:259 handle: <Handle run.<locals>.on_done([200, 80], 2)(<Task finishe...>], -2, None)>) at tune.py:259> Traceback (most recent call last): File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\asyncio\events.py", line 88, in _run self._context.run(self._callback, *self._args) File "tune.py", line 272, in on_done opt.tell(x, -y) # opt is minimizing File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\site-packages\skopt\optimizer\optimizer.py", line 443, in tell return self._tell(x, y, fit=fit) File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\site-packages\skopt\optimizer\optimizer.py", line 502, in _tell acq_func_kwargs=self.acq_func_kwargs) File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\site-packages\skopt\acquisition.py", line 50, in _gaussian_acquisition func_and_grad = gaussian_ei(X, model, y_opt, xi, return_grad) File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\site-packages\skopt\acquisition.py", line 276, in gaussian_ei mu, std = model.predict(X, return_std=True) File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\site-packages\skopt\learning\gaussian_process\gpr.py", line 324, in predict y_var -= np.einsum("ki,kj,ij->k", K_trans, K_trans, K_inv) File "<__array_function__ internals>", line 6, in einsum File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\site-packages\numpy\core\einsumfunc.py", line 1356, in einsum return c_einsum(*operands, **kwargs) ValueError: iterator is too largeException in callback run.<locals>.on_done([197, 80], 0)(<Task finishe...>], -1, None)>) at tune.py:259 handle: <Handle run.<locals>.on_done([197, 80], 0)(<Task finishe...>], -1, None)>) at tune.py:259> Traceback (most recent call last): File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\asyncio\events.py", line 88, in _run self._context.run(self._callback, *self._args) File "tune.py", line 272, in on_done opt.tell(x, -y) # opt is minimizing File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\site-packages\skopt\optimizer\optimizer.py", line 443, in tell return self._tell(x, y, fit=fit) File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\site-packages\skopt\optimizer\optimizer.py", line 489, in _tell self.gains_ -= est.predict(np.vstack(self.next_xs_)) File "<__array_function__ internals>", line 6, in vstack File "C:\Users\pecas\AppData\Local\Programs\Python\Python37-32\lib\site-packages\numpy\core\shape_base.py", line 282, in vstack return _nx.concatenate(arrs, 0) File "<__array_function__ internals>", line 6, in concatenate ValueError: need at least one array to concatenate