本文整理匯總了Python中preprocessor.Preprocessor.organize_dataset方法的典型用法代碼示例。如果您正苦於以下問題：Python Preprocessor.organize_dataset方法的具體用法？Python Preprocessor.organize_dataset怎麽用？Python Preprocessor.organize_dataset使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類preprocessor.Preprocessor的用法示例。
在下文中一共展示了Preprocessor.organize_dataset方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: print
# 需要導入模塊: from preprocessor import Preprocessor [as 別名]
# 或者: from preprocessor.Preprocessor import organize_dataset [as 別名]
optlist, argv = getopt.getopt(sys.argv[1:], 'ps:', ["seed=", "preprocess"])
except getopt.GetoptError as err:
# print help information and exit:
print(err) # will print something like "option -a not recognized"
usage()
sys.exit(2)
for o, a in optlist:
if o in ("-s","--seed"):
seed = a
elif o in("-p","--preprocess"):
prep = True
else:
assert False, "unhandled option"
if prep:
if len(argv) < 1:
print('Please enter the directory to load authors from.')
sys.exit(2)
else:
p.organize_dataset(seed, argv[0])
p.organize_authors()
else:
if len(argv) < 2:
print('Please enter training and test directories.')
sys.exit(2)
else:
p.organize_authors(argv[0], argv[1])
with np.errstate(divide='ignore', invalid='ignore'):
scores = test_authors(p, bag_of_words = True, alpha = 0.05, bag_of_char_ngrams = True, ngram_len = 5,
set_of_words = False, complexity_features = False, print_predictions = False)
print_multiple_scores(scores)