dongguosheng

# -*- coding: utf-8 -*-

from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
import smtplib

class Message(object):
    '''Email util.'''
    def __init__(self, mailto_list=['xxxxxx@qq.com'], mail_host='smtp.126.com', 
    			 mail_user='yyyyyy', mail_password='zzzzzz', mail_postfix='126.com', attach_file_list=[]):

dongguosheng

# -*- coding: utf-8 -*-

'''
Feature vectors are column vectors.
X, n * m, n -> feature dim, m -> sample number
Y, 1 * m, row vector
theta/weight/beta, n * 1, column vector
gradient, n * 1, column vector

gradient = X * (Y - sigmoid(theta' * X))'

dongguosheng

# -*- coding: gbk -*-

import numpy as np

def foo(x):
    return x**2 + 2*x + 1

def g(x):
    return 2*x + 2

dongguosheng

#ifndef KMEANS_H
#define KMEANS_H
#include <vector>
#include <set>
#include <random>
#include <ctime>
#include <cfloat>
#include <cassert>
#include <cmath>
#include <iostream>

dongguosheng

#include <iostream>
#include <ctime>
#include <random>
#include <vector>
#include <thread>
#include <omp.h>

using namespace std;

const static int TOTAL_SIZE = 100000;

dongguosheng

# -*- coding: gbk -*-

import math

def cal_ndcg(r_list, k):
    idcg = cal_dcg(sorted(r_list, reverse=True), k)
    if idcg <= 1e-10:
        return 1.0
    return cal_dcg(r_list, k) / idcg