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Update SCLUDA_Houston.py #8

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Update SCLUDA_Houston.py #8

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17 changes: 5 additions & 12 deletions SCLUDA_Houston.py
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Original file line number Diff line number Diff line change
Expand Up @@ -67,20 +67,13 @@ def clean_sampling_epoch(labels, probabilities, output):
sorted_index_method='normalized_margin',
)

true_labels_idx = [] # 置信样本的索引
all_labels_idx = [] # 所有标签的索引
# 亲测高效，老的版本不知道崩了多少次^_^
all_labels_idx = np.arange(len(labels))
error_set = set(ordered_label_errors)
true_labels_idx = [i for i in all_indices if i not in error_set]

print('len of all_lables', len(labels))
print('len of errors_lables', len(ordered_label_errors))
for i in range(len(labels)):
all_labels_idx.append(i)

if len(ordered_label_errors) == 0:
true_labels_idx = all_labels_idx
else:

for j in range(len(ordered_label_errors)):
all_labels_idx.remove(ordered_label_errors[j])
true_labels_idx = all_labels_idx
print('len of true_lables', len(true_labels_idx)) # 得到正确样本的索引
orig_class_count = np.bincount(labels, minlength=CLASS_NUM)
train_bool_mask = ~label_errors_bool
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