Added comments to give context to the folds
Signed-off-by: Jim Martens <github@2martens.de>
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@ -58,12 +58,12 @@ def train_mnist(folding_id: int, inlier_classes: Sequence[int], total_classes: i
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mnist_valid = []
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mnist_valid = []
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for i in range(folds):
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for i in range(folds):
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if i != folding_id:
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if i != folding_id: # exclude testing fold, representing 20% of each class
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with open('data/data_fold_%d.pkl' % i, 'rb') as pkl:
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with open('data/data_fold_%d.pkl' % i, 'rb') as pkl:
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fold = pickle.load(pkl)
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fold = pickle.load(pkl)
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if len(mnist_valid) == 0:
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if len(mnist_valid) == 0: # single out one fold, comprising 20% of each class
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mnist_valid = fold
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mnist_valid = fold
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else:
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else: # form train set from remaining folds, comprising 60% of each class
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mnist_train += fold
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mnist_train += fold
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outlier_classes = []
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outlier_classes = []
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