本文整理匯總了Python中sklearn.datasets.base.Bunch.filenames方法的典型用法代碼示例。如果您正苦於以下問題：Python Bunch.filenames方法的具體用法？Python Bunch.filenames怎麽用？Python Bunch.filenames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sklearn.datasets.base.Bunch的用法示例。
在下文中一共展示了Bunch.filenames方法的2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:
# 需要導入模塊: from sklearn.datasets.base import Bunch [as 別名]
# 或者: from sklearn.datasets.base.Bunch import filenames [as 別名]
#導入訓練預料
data_set={}
#訓練語料集路徑
train_path='text_corpus1_wordbag/train_set.data'
file_obj=open(train_path,'rb')
#讀取持久化後的對象
data_set=pickle.load(file_obj)
file_obj.close()
#定義詞袋數據結構
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
#構建語料
corpus=data_set.contents
#從文件導入停用詞表
stpwrdpath='extra_dict/hlt_stop_words.txt'
stpwrd_dic=open(stpwrdpath,'rb')
stpwrd_content=stpwrd_dic.read()
#將停用詞轉換為list
stpwrdlst=stpwrd_content.splitlines()
stpwrd_dic.close()
#計算詞袋創建時間：獲取開始時間
start=datetime.datetime.now()示例2: load_mask_images
# 需要導入模塊: from sklearn.datasets.base import Bunch [as 別名]
# 或者: from sklearn.datasets.base.Bunch import filenames [as 別名]
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)