wip
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@ -157,9 +157,6 @@ def create_dataset_from_lists(chunks, vocab, max_len):
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logger.info(" compute domain features")
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logger.info(" compute domain features")
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domain_features = []
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domain_features = []
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for ds in tqdm(map(lambda f: f.domain, chunks)):
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for ds in tqdm(map(lambda f: f.domain, chunks)):
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# TODO: fix this correctly
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# assert min(np.atleast_3d(ds).shape) > 0, f"shape of 0 for {ds}"
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if not ds: continue
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domain_features.append(np.apply_along_axis(get_domain_features_reduced, 2, np.atleast_3d(ds)))
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domain_features.append(np.apply_along_axis(get_domain_features_reduced, 2, np.atleast_3d(ds)))
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domain_features = np.concatenate(domain_features, 0)
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domain_features = np.concatenate(domain_features, 0)
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logger.info(" compute flow features")
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logger.info(" compute flow features")
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