csv output (headers), partial fix for PB freezing notebook, skipping reshaping #10
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yahelnachum
changed the title
yahelnachum
commented
Oct 17, 2020
| @@ -250,8 +250,9 @@ def normalizeAgents(agents): | |||
| dataForNormalization = [] | |||
| pb = ProgressBar(len(agents)) | |||
| pb.start() | |||
| for agent in agents: | |||
| pb.check(0, True) | |||
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I suspect this fixes some freezing since instead of printing for each loop we are using the underlying chunked updated of the PB class
yahelnachum
commented
Oct 17, 2020
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| def reshapeFlattenedTrainingSets(allTrainingSetsFlattened_X, allTrainingSetsFlattened_Y): |
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Removed reshaping function since the previous step now outputs a numpy array so we don't have to reshape the list to a numpy array
yahelnachum
commented
Oct 17, 2020
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| allTrainingSetsFlattened_X, allTrainingSetsFlattened_Y = flattenTrainingSets(allTrainingSets) | ||
| def flattenTrainingSets(allTrainingSets, totalNumberOfTrainingSets): |
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rewrote this function so that it outputs a numpy array so we don't have to reshape the list later on
yahelnachum
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since test sets will only need to be the last `n` history frames of an agent
currently working on getting testing part 1. getting copy of mask already 2. added ability to binary search backwards a mask index
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#5