| 1234567891011121314151617181920212223242526272829303132 |
- import numpy as np
- import pandas as pd
- import pickle
- def save(object_to_save, path):
- with open(path, 'wb') as f:
- pickle.dump(object_to_save, f)
- def load(path):
- with open(path, 'rb') as f:
- object1 = pickle.load(f)
- return object1
- # model = load('svc_model.pk')
- # data = pd.read_csv("../Data/cs-training.csv", index_col=0)
- # a = pd.qcut(data['SeriousDlqin2yrs'],3,duplicates='drop')
- # print(a)
- # b = data.groupby(a)
- # print(b)
- # print(len(b))
- # x = np.array([np.array([-0.01867214, 0.28473352, -0.35965723, -0.12996393, -0.18025808, 0.07713616,
- # -0.18793693, -0.01226944, -0.19963244, -0.72204477])])
- # x = np.array([np.array([-0.92867214, 0.98473352, -0.05965723, -0.92996393, -0.08025808, 0.17713616,
- # -0.58793693, -0.91226944, -0.99963244, -0.92204477])])
- # print(model.predict(x))
- # a,b = model.predict_proba(x)[0]
- # print(a,b)
- import re
- complainants_rule1 = re.compile("(?:[^被]|^)(?:投[诉拆][人方]|质疑[人方]|质疑供应商|质疑单位|疑问[人方]|检举[人方]|举报[人方])[\d一二三四五六七八九十]?(\(.+?\))?(:?，?名称[\d一二三四五六七八九十]?)?(?:[:：，]+.{0,3}$|$)")
- if complainants_rule1.search("济历城财采[2016]1号，投诉人："):
- print(1)
|
