本文整理汇总了Python中tgrocery.Grocery.get_load_status方法的典型用法代码示例。如果您正苦于以下问题：Python Grocery.get_load_status方法的具体用法？Python Grocery.get_load_status怎么用？Python Grocery.get_load_status使用的例子？那么, 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tgrocery.Grocery的用法示例。
在下文中一共展示了Grocery.get_load_status方法的6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: test_main
# 需要导入模块: from tgrocery import Grocery [as 别名]
# 或者: from tgrocery.Grocery import get_load_status [as 别名]
def test_main(self):
grocery = Grocery(self.grocery_name)
grocery.train(self.train_src)
grocery.save()
new_grocery = Grocery('test')
new_grocery.load()
assert grocery.get_load_status()
assert grocery.predict('考生必读：新托福写作考试评分标准') == 'education'
# cleanup
if self.grocery_name and os.path.exists(self.grocery_name):
shutil.rmtree(self.grocery_name)示例2: sentiment_train
# 需要导入模块: from tgrocery import Grocery [as 别名]
# 或者: from tgrocery.Grocery import get_load_status [as 别名]
def sentiment_train(gro_name, train_set):
"""
:param gro_name:
:param train_set:
:return:
"""
gro_ins = Grocery(gro_name)
# gro_ins.load()
gro_ins.train(train_set)
print("Is trained? ", gro_ins.get_load_status())
gro_ins.save()示例3: DataFrame
# 需要导入模块: from tgrocery import Grocery [as 别名]
# 或者: from tgrocery.Grocery import get_load_status [as 别名]
tdic['id'].append(_id)
tdic['type'].append(_type)
tdic['contents'].append(contents)
i +=1
#train = pd.read_csv( train_file, header = 0, delimiter = "\t", quoting = 3 )
#test = pd.read_csv( test_file, header = 1, delimiter = "\t", quoting = 3 )
train = DataFrame(dic)
test = DataFrame(tdic)
#
#classfynews_instance 是模型保存路径
grocery = Grocery('classfynews_instance')
train_in = [train['contents'],train['type']]
grocery.train(train_in)
print grocery.get_load_status()
#grocery.save()
copy_grocery = Grocery('classfynews_instance')
copy_grocery.load()
#copy_grocery = grocery
test_in = [test['contents'],test['type']]
#输入类似 ['我是中国人','台北*****']
#输出 [11,12]
test_result = copy_grocery.predict(test['contents'])
print test_result.predicted_y
#test_result = copy_grocery.test(test_in)
#print test_result.show_result()
示例4: __init__
# 需要导入模块: from tgrocery import Grocery [as 别名]
# 或者: from tgrocery.Grocery import get_load_status [as 别名]
class Cat:
def __init__(self):
self.grocery = Grocery('autohome')
def test(self):
print self.grocery.get_load_status()示例5: Grocery
# 需要导入模块: from tgrocery import Grocery [as 别名]
# 或者: from tgrocery.Grocery import get_load_status [as 别名]
# coding: utf-8
from tgrocery import Grocery
grocery = Grocery('test')
train_src = [
('education', '名师指导托福语法技巧：名词的复数形式'),
('education', '中国高考成绩海外认可 是“狼来了”吗？'),
('sports', '图文：法网孟菲尔斯苦战进16强 孟菲尔斯怒吼'),
('sports', '四川丹棱举行全国长距登山挑战赛 近万人参与')
]
grocery.train(train_src)
print(grocery.get_load_status())
predict_result = grocery.predict('考生必读：新托福写作考试评分标准')
print(predict_result)
print(predict_result.dec_values)
grocery = Grocery('read_text')
train_src = '../text_src/train_ch.txt'
grocery.train(train_src)
print(grocery.get_load_status())
predict_result = grocery.predict('考生必读：新托福写作考试评分标准')
print(predict_result)
print(predict_result.dec_values)示例6: Grocery
# 需要导入模块: from tgrocery import Grocery [as 别名]
# 或者: from tgrocery.Grocery import get_load_status [as 别名]
# coding: utf-8
from tgrocery import Grocery
# pass a tokenizer, must be a python func
custom_grocery = Grocery('custom', custom_tokenize=list)
train_src = [
('education', '名师指导托福语法技巧：名词的复数形式'),
('education', '中国高考成绩海外认可 是“狼来了”吗？'),
('sports', '图文：法网孟菲尔斯苦战进16强 孟菲尔斯怒吼'),
('sports', '四川丹棱举行全国长距登山挑战赛 近万人参与')
]
custom_grocery.train(train_src)
print custom_grocery.get_load_status()
print custom_grocery.predict('考生必读：新托福写作考试评分标准')