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Merge pull request #17 from michaelhush/revert-16-NeuralNetA
Revert "Get NN working a bit better on the tests"
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Merge pull request #16 from charmasaur/NeuralNetA
Get NN working a bit better on the tests
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Use TF gradient when minimizing NN cost function estimate
charmasaur committedDec 9, 2016 -
Still print predicted_best_cost even when predicted_best_uncertainty …
…isn't set
charmasaur committedDec 9, 2016 -
Tweak some NNI params to perform better on the test
charmasaur committedDec 9, 2016
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Don't do one last train in order to predict minima
at the end. This was causing an exception to be thrown when trying to get costs from the queue.
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Add (trivial) scaler back to NNL
charmasaur committedDec 4, 2016 -
Set new_params_event in MLC after getting the cost
When generation_num=1, if the new_params_event is set first then the learner will try to get the cost when the queue is empty, causing an exception.
charmasaur committedDec 4, 2016
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Dumb implementation of predict_costs array version
charmasaur committedDec 3, 2016 -
Pull NNI construction into create_neural_net
charmasaur committedDec 3, 2016
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Merge branch 'NeuralNetA' of https://github.com/michaelhush/M-LOOP in…
…to NeuralNetA Conflicts: mloop/controllers.py mloop/learners.py
charmasaur committedDec 2, 2016 -
Fix importing/creation of NN impl
We need to specify nnlearner as a package. More subtly, because of TF we can only run NNI in the same process in which it's created. This means we need to wait until the run() method of the learner is called before constructing the impl.
charmasaur committedDec 2, 2016 -
charmasaur committed
Dec 2, 2016 -
Remove scaler from NNController
charmasaur committedDec 2, 2016 -
More NNController tidying/tweaking
charmasaur committedDec 2, 2016 -
Fix number_of_controllers definition
charmasaur committedDec 2, 2016 -
Basic NN learner implementation
I've pulled the actual network logic out into a new class, to keep the TF stuff separate from everything else and to keep a clear separation between what's modelling the landscape and what's doing prediction.
charmasaur committedDec 2, 2016
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charmasaur committed
Dec 1, 2016
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Remove unnecessary uncertainty stuff from NNL
charmasaur committedNov 25, 2016 -
charmasaur committed
Nov 25, 2016 -
Fix some minor controller documentation errors
charmasaur committedNov 25, 2016 -
Git complains to me about them when I touch nearby lines, so I figured it was easier just to fix them.
charmasaur committedNov 25, 2016
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Tweaks to tutorials documentation
charmasaur committed on GitHubOct 21, 2016