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import numpy as np | ||
import hashlib | ||
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import utils | ||
import utils_lung | ||
import pathfinder | ||
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rng = np.random.RandomState(42) | ||
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tvt_ids = utils.load_pkl(pathfinder.VALIDATION_SPLIT_PATH) | ||
train_pids, valid_pids, test_pids = tvt_ids['training'], tvt_ids['validation'], tvt_ids['test'] | ||
all_pids = train_pids + valid_pids + test_pids | ||
print 'total number of pids', len(all_pids) | ||
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id2label = utils_lung.read_labels(pathfinder.LABELS_PATH) | ||
id2label_test = utils_lung.read_test_labels(pathfinder.TEST_LABELS_PATH) | ||
id2label.update(id2label_test) | ||
n_patients = len(id2label) | ||
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pos_ids = [] | ||
neg_ids = [] | ||
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for pid, label in id2label.iteritems(): | ||
if label: | ||
pos_ids.append(pid) | ||
else: | ||
neg_ids.append(pid) | ||
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pos_ratio = 1. * len(pos_ids) / n_patients | ||
print 'pos id ratio', pos_ratio | ||
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split_ratio = 0.15 | ||
n_target_split = int(np.round(split_ratio*n_patients)) | ||
print 'given split ratio', split_ratio | ||
print 'target split ratio', 1. * n_target_split / n_patients | ||
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n_pos_ftest = int(np.round(split_ratio*len(pos_ids))) | ||
n_neg_ftest = int(np.round(split_ratio*len(neg_ids))) | ||
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final_pos_test = rng.choice(pos_ids,n_pos_ftest, replace=False) | ||
final_neg_test = rng.choice(neg_ids,n_neg_ftest, replace=False) | ||
final_test = np.append(final_pos_test,final_neg_test) | ||
print 'pos id ratio final test set', 1.*len(final_pos_test) / (len(final_test)) | ||
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final_train = [] | ||
final_pos_train = [] | ||
final_neg_train = [] | ||
for pid in all_pids: | ||
if pid not in final_test: | ||
final_train.append(pid) | ||
if id2label[pid]: | ||
final_pos_train.append(pid) | ||
else: | ||
final_neg_train.append(pid) | ||
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print 'pos id ratio final train set', 1.*len(final_pos_train) / (len(final_train)) | ||
print 'final test/(train+test):', 1.*len(final_test) / (len(final_train) + len(final_test)) | ||
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concat_str = ''.join(final_test) | ||
print 'md5 of concatenated pids:', hashlib.md5(concat_str).hexdigest() | ||
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output = {'train':final_train, 'test':final_test} | ||
output_name = pathfinder.METADATA_PATH+'final_split.pkl' | ||
utils.save_pkl(output, output_name) | ||
print 'final split saved at ', output_name | ||
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