again
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@ -236,10 +236,10 @@ class eNoseTrainer:
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'dense_units': tune.choice([32, 64, 128, 256]),
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'dropout': tune.choice([0.05, 0.15, 0.3]),
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'lr': tune.choice([0.01, 0.005, 0.001]),
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'batch_size': tune.choice([16, 32, 64]),
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'batch_size': tune.choice([16, 32, 64, 128]),
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'epochs': epochs
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}
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total_space = (3*3*3*2*3*3*3*3)
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total_space = (3*3*3*2*4*3*3*4)
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self.logger.info(f"total_space: {total_space}, num_samples: {int(nsamples*total_space)}")
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