loss_function_batch works for now, but only receives one candidate. Have to figure out how to pass the whole batch.
Signed-off-by: Andre Klein <andre.klein@dkfz-heidelberg.de>
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• kleina Authored on May 13 2020, 11:32 AM - Parents
- rOBSHYPPOPY24436615c9c6: Fixed typo.
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| /hyppopy/solvers/OptunitySolver.py | ||
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| 89–96 | Why using map? Why not just candidates = {} for elem in seq: can = CandidateDescriptor(**elem) candidates[can.ID] = can return f(candidates) and in your OptionitySolver::loss_function_batch def loss_function_batch(self, **candidates): result = super(OptunitySolver, self).loss_function_batch([candidates[k] for k in candidates]) return [ values['loss'] for values in result] ? | |