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TemporalModelCommitments #3
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please merge upstream again, travis/awscli were giving us a hard time |
mschrimpf
suggested changes
Apr 1, 2019
| temporal_maps[region] = time_bin_regressor | ||
| return temporal_maps | ||
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| def _set_region_coords(self, activations, layer_regions): |
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I'll work on a fix for this soon, so that you hopefully won't need this here anymore (brain-score/brainio_base#1)
mschrimpf
reviewed
Apr 2, 2019
mschrimpf
reviewed
Apr 4, 2019
| if type(variation) is not list: | ||
| variation = [variation] | ||
| assembly_dir = path.join(path.dirname(__file__), 'test_temporal_assemblies') | ||
| test_assembly_filename = 'temporal_test_{}_var{}.pkl'.format(region, ''.join(str(v) for v in variation)) |
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you can also do f'temporal_test_{region}_var{"".join(str(v) for v in variation)}.pkl'
mschrimpf
reviewed
Apr 4, 2019
| expected_region_count = len(expected_region) | ||
| expected_time_bin_count = len(training_assembly.time_bin.values) | ||
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| extractor = pytorch_custom() |
mschrimpf
reviewed
Apr 4, 2019
| temporal_model = TemporalModelCommitment('', extractor, layers) | ||
| # commit region: | ||
| temporal_model.commit_region(region, commit_assembly) | ||
| temporal_model.do_commit_region(region) |
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