06 2019 档案
摘要：#include <iostream>#include <vector>#include <cmath>#include <algorithm>#include <numeric>#include <fstream>#include <sstream>#include <functional> do
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摘要：#include <iostream> #include <vector> #include <cmath> #include <algorithm> #include <numeric> double myfunction(double num) { return exp(num); } temp
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摘要：#!/usr/bin/python import os import pandas as pd from sklearn.datasets import fetch_openml import matplotlib import matplotlib.pyplot as plt HOUSING_UR
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摘要：#include <iostream> #include <vector> #include <cstddef> #include <string> #include <sstream> #include <fstream> #include <algorithm> #include <cmath>
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摘要：void ReadDataFromCsv(std::string &filename, std::vector<std::vector<std::string> > &lines_feat) { std::ifstream vm_info(filename.c_str()); std::string
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摘要：If we compare this to the LMS update rule, we see that it looks identical; but this is not the same algorithm, because h(x) is now defined as a none-l
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摘要：Under the previous probabilistic assumptions on the data, least-squares regression corresponds to finding the maximum likelihood estimate of θ. This i
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摘要：#!/usr/bin/env python3 # -*- coding: utf-8 -*- import paramiko import os, stat import sys import operator as op from string import Template def ssh_co
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