Including initial pre-training statistics.
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@ -122,7 +122,7 @@ class Optimiser(object):
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and the second being a dict mapping the labels for the statistics
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recorded to their column index in the array.
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"""
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run_stats = []
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run_stats = [self.get_epoch_stats().values()]
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for epoch in range(1, num_epochs + 1):
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start_time = time.clock()
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self.do_training_epoch()
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