本文整理汇总了Python中note.Note.label_list方法的典型用法代码示例。如果您正苦于以下问题：Python Note.label_list方法的具体用法？Python Note.label_list怎么用？Python Note.label_list使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类note.Note的用法示例。
在下文中一共展示了Note.label_list方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
# 需要导入模块: from note import Note [as 别名]
# 或者: from note.Note import label_list [as 别名]
def main():
parser = argparse.ArgumentParser()
parser.add_argument("-t",
help = "Files containing predictions",
dest = "txt",
default = os.path.join(BASE_DIR, 'data/predictions/*')
)
parser.add_argument("-r",
help = "The directory that contains reference gold standard concept files",
dest = "ref",
default = os.path.join(BASE_DIR, 'data')
)
parser.add_argument("-o",
help = "Write the evaluation to a file rather than STDOUT",
dest = "output",
default = None
)
parser.add_argument("-e",
help = "Do error analysis",
dest = "error",
action = 'store_true'
)
# Parse command line arguments
args = parser.parse_args()
# Is output destination specified
if args.output:
args.output = open(args.output, "w")
else:
args.output = sys.stdout
txt_files = glob.glob(args.txt)
txt_files_map = helper.map_files(txt_files)
ref_directory = args.ref
ref_files = os.listdir(ref_directory)
ref_files = map(lambda f: os.path.join(args.ref, f), ref_files)
ref_files_map = helper.map_files(ref_files)
files = []
for k in txt_files_map:
if k in ref_files_map:
files.append((txt_files_map[k], ref_files_map[k]))
print files
# Useful for error analysis
text = []
# One list of all labels
pred_labels = []
gold_labels = []
# txt <- predicted labels
# ref <- actual labels
for txt, ref in files:
# A note that represents the model's predictions
pnote = Note()
pnote.read( txt )
# A note that is the actual concept labels
gnote = Note()
gnote.read( ref )
# Accumulate all predictions
pred_labels += pnote.label_list()
gold_labels += gnote.label_list()
# Collect text for error analysis
text += pnote.text_list()
# Compute results
evaluate(pred_labels, gold_labels, out=args.output)
# Error analysis
if args.error:
print '\n\n\n'
error_analysis(text, pred_labels, gold_labels)