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btovar avatar craymichael avatar jeffkinnison avatar rileygriffith avatar sabraha2 avatar

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pyrameter's Issues

Neural Architecture Search

Implement NAS as a search method, incorporating reinforcement learning a la DeepMind. This will totally go well.

Evolutionary Algorithms/Population-Based Methods

This project needs support for evolutionary algs and other population-based methods. Essentially, instead of generating single hyperparameter sets at a time, there should be a way to generate a batch of them.

This could be implemented using a generator in SearchSpace.generate() with n samples and updating when the generator is empty.

KeyError: 'domain_kwargs' when loading results file

When attempting to load and plot with the results file, get the following KeyError

File "driver_mnist.py", line 67, in <module>
    opt.load()
  File "/afs/crc.nd.edu/user/s/sabraha2/Projects/optimization/Neural_network_search/venv/lib/python3.7/site-packages/shadho/shadho.py", line 219, in load
    super().load()
  File "/afs/crc.nd.edu/user/s/sabraha2/Projects/optimization/Neural_network_search/venv/lib/python3.7/site-packages/pyrameter/optimizer.py", line 174, in load
    self.searchspaces = self.backend.load()
  File "/afs/crc.nd.edu/user/s/sabraha2/Projects/optimization/Neural_network_search/venv/lib/python3.7/site-packages/pyrameter/backend/local.py", line 46, in load
    return [SearchSpace.from_json(obj) for obj in objs]
  File "/afs/crc.nd.edu/user/s/sabraha2/Projects/optimization/Neural_network_search/venv/lib/python3.7/site-packages/pyrameter/backend/local.py", line 46, in <listcomp>
    return [SearchSpace.from_json(obj) for obj in objs]
  File "/afs/crc.nd.edu/user/s/sabraha2/Projects/optimization/Neural_network_search/venv/lib/python3.7/site-packages/pyrameter/searchspace.py", line 132, in from_json
    domains = [Domain.from_json(d) for d in obj['domains']]
  File "/afs/crc.nd.edu/user/s/sabraha2/Projects/optimization/Neural_network_search/venv/lib/python3.7/site-packages/pyrameter/searchspace.py", line 132, in <listcomp>
    domains = [Domain.from_json(d) for d in obj['domains']]
  File "/afs/crc.nd.edu/user/s/sabraha2/Projects/optimization/Neural_network_search/venv/lib/python3.7/site-packages/pyrameter/domains/base.py", line 112, in from_json
    return cls.from_json(obj)
  File "/afs/crc.nd.edu/user/s/sabraha2/Projects/optimization/Neural_network_search/venv/lib/python3.7/site-packages/pyrameter/domains/discrete.py", line 73, in from_json
    rng = obj['domain_kwargs']['random_state']
KeyError: 'domain_kwargs'

Finish Database Backend Support

At present, database support for storing search data is incomplete, working only with JSON. The full suite should support Mongo and SQLite (at the very least).

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