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sorry, I know this problem belongs to GPy, but I'm new to GP and I can't really solve the problem by myself. I get following error
Training is completed. Best valid loss:2.801e-01 Warning - optimization restart 2/10 failed Warning - optimization restart 3/10 failed Warning - optimization restart 4/10 failed Warning - optimization restart 5/10 failed Warning - optimization restart 6/10 failed Warning - optimization restart 7/10 failed Warning - optimization restart 8/10 failed Warning - optimization restart 9/10 failed Warning - optimization restart 10/10 failed
My search space is following: hps = [] hps.append({'name': 'num_layers', 'type': 'int', 'lb': 3, 'ub': 20}) hps.append({'name': 'num_nodes', 'type': 'int', 'lb': 8, 'ub': 1024}) hps.append({'name': 'learning_rate', 'type': 'pow', 'lb': 1e-4, 'ub': 1e-1, 'base': 10})
basically searching for best MLP width, layer and learning rate. Any possible solution?
thank you in advance
The text was updated successfully, but these errors were encountered:
I see that this problem disapears if I use old HEBO version which is installed when using "pip install".
What can be the problem?
Sorry, something went wrong.
I'm also getting the same warning with the latest version (installed from the repo) as well as the one installed from pypi.
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sorry, I know this problem belongs to GPy, but I'm new to GP and I can't really solve the problem by myself.
I get following error
Training is completed. Best valid loss:2.801e-01
Warning - optimization restart 2/10 failed
Warning - optimization restart 3/10 failed
Warning - optimization restart 4/10 failed
Warning - optimization restart 5/10 failed
Warning - optimization restart 6/10 failed
Warning - optimization restart 7/10 failed
Warning - optimization restart 8/10 failed
Warning - optimization restart 9/10 failed
Warning - optimization restart 10/10 failed
My search space is following:
hps = []
hps.append({'name': 'num_layers', 'type': 'int', 'lb': 3, 'ub': 20})
hps.append({'name': 'num_nodes', 'type': 'int', 'lb': 8, 'ub': 1024})
hps.append({'name': 'learning_rate', 'type': 'pow', 'lb': 1e-4, 'ub': 1e-1, 'base': 10})
basically searching for best MLP width, layer and learning rate.
Any possible solution?
thank you in advance
The text was updated successfully, but these errors were encountered: