本文整理汇总了Python中sklearn.datasets.base.Bunch.filenames方法的典型用法代码示例。如果您正苦于以下问题：Python Bunch.filenames方法的具体用法？Python Bunch.filenames怎么用？Python Bunch.filenames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sklearn.datasets.base.Bunch的用法示例。
在下文中一共展示了Bunch.filenames方法的2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:
# 需要导入模块: from sklearn.datasets.base import Bunch [as 别名]
# 或者: from sklearn.datasets.base.Bunch import filenames [as 别名]
#导入训练预料
data_set={}
#训练语料集路径
train_path='text_corpus1_wordbag/train_set.data'
file_obj=open(train_path,'rb')
#读取持久化后的对象
data_set=pickle.load(file_obj)
file_obj.close()
#定义词袋数据结构
wordbag=Bunch(target_name=[],label=[],filenames=[],tdm=[],vocabulary={})
wordbag.target_name=data_set.target_name
wordbag.label=data_set.label
wordbag.filenames=data_set.filenames
#构建语料
corpus=data_set.contents
#从文件导入停用词表
stpwrdpath='extra_dict/hlt_stop_words.txt'
stpwrd_dic=open(stpwrdpath,'rb')
stpwrd_content=stpwrd_dic.read()
#将停用词转换为list
stpwrdlst=stpwrd_content.splitlines()
stpwrd_dic.close()
#计算词袋创建时间：获取开始时间
start=datetime.datetime.now()示例2: load_mask_images
# 需要导入模块: from sklearn.datasets.base import Bunch [as 别名]
# 或者: from sklearn.datasets.base.Bunch import filenames [as 别名]
import numpy as np
from skimage import io
from sklearn.datasets.base import Bunch
from dip.load_data import load_image_files, load_mask_images
from dip.mask import bounding_rect_of_mask
datasets = load_mask_images()
data = []
for f, mask in zip(
datasets.filenames,
load_image_files(datasets.filenames),
):
# rect: (min_x, max_x, min_y, max_x)
rect = bounding_rect_of_mask(mask, negative=True)
data.append(list(rect))
print('{0}: {1}'.format(f, rect))
bunch = Bunch(name='mask rects')
bunch.data = np.array(data)
bunch.filenames = datasets.filenames
bunch.target = datasets.target
bunch.target_names = datasets.target_names
bunch.description = 'mask rects: (min_x, min_y, max_x, max_y)'
with gzip.open('rects.pkl.gz', 'wb') as f:
pickle.dump(bunch, f)