ofac watchlist

The idea of crawlingFirst we should find an account, this account is concerned about the person and the people concerned are relatively more, is the top of the pyramid, and then by crawling the information of the account, then crawl his attention and the people who are concerned about the account information, and then crawl the attention of the person's account information and the attention of the information list, Crawl the information of these users and crawl through this recursive way all of

This post was last edited by anydy2008 on 2013-10-11 10:43:13 The query needs are as follows: 1. Query which users are concerned. 2. Which users are concerned about the query. 3. Query and a common list of concerns for a user. 4. Whether the query concerns each other. The above functions can be achieved with a table in the form of user_id follow_user_id add_time columns. But the attention volume is larger, need to according to user ID to divide the table. I don't know how to design a table

# label need to is 0 to Num_ Class-1 data = Np.loadtxt ('./dermatology.data ', delimiter= ', ', Converters={33:lambda x:int (x = = '? '), 34:lambda X:int (x)-1}) Sz = Data.shape train = Data[:int (sz[0] * 0.7),:] test = Data[int (sz[0) * 0.7):,:] train_x = train[:,: 3 3] train_y = train[:, test_x = test[:,: test_y = test[:, Xg_train = XGB. Dmatrix (train_x, label=train_y) xg_test = XGB. Dmatrix (test_x, label=test_y) # setup parameters for Xgboost param = {} # use Softmax multi-class classific

-intensive, very consumption of hardware; Complex maintenanceConsistent maintenance costs are increasingly high;BerkeleyDB use B-tree, will always write new, there will not be a file re-organization, which will lead to larger files, the big time to file archiving, archiving operations to be done on a regular basis;In this way, it is necessary to have a certain down time; Based on the above considerations, Redis 2 is selected. The way to find open source software and its judging criteria for open

The component is loaded the first time it is initialized.ImportReact, {proptypes} from ' React ';//import Appcomposer from './views/app/appcomposer ';//import Logincomposer from './views/login/logincomposer ';//import Homecomposer from './views/home/homecomposer ';//import Watchlistcomposer from './views/watchlist/watchlistcomposer ';//import Systemlogcomposer from './views/systemlog/systemlogcomposer ';//import Teammanagecomposer from './views/teamma

here I set the starting URL to the home page.After that is the seed user's personal homepage, know that many fans of the Big V a lot, but the attention of more people is more difficult to find, here I chose the Zhihu, co-founder, presumably concerned about a lot of high-quality users (???).Analysis of the personal page, the personal page is composed of ' https://www.zhihu.com/people/' + user ID, we want to get information is used callback callback function (knock the blackboard!!) Draw the key!

: Stealing red envelopes to implement code Sent by the receiving system.AccessibilityEvent private static final String Get_red_packet = "Collect red envelopes"; private static final String Check_red_packet = "View Red envelopes"; private static final String red_packet_picked = "Hange, red envelope sent out"; private static final String Red_packet_picked2 = "Luck"; private static final String Red_packet_picked_detail = "red envelope details"; private static final String

when the difference between the two iterations is less than Tol. This should be adjusted according to your own data. VERBOSE: Output training content, in the beginning of the experiment in general look at the training content easier to help find ways to improve. In LR, divide well in general, many other models can do better than LR, so few people specifically on the LR of the tuning to do a lot of work. If our project, positive and negative samples should be linear, so that no matter what the s

Read interface users/show get user information new Users/domain_show get user information through a personalized domain name users/counts Get the number of fans, followers, and tweets in bulk relationship Follow read interface friendships/friends get the user's watchlist friendships/ Friends/in_common get a list of common followers friendships/friends/bilateral get bi-directional watchlist fri