habakan

# coding: utf-8
from collections import Counter
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import accuracy_score

class KNearestNeightbors(object):
  def __init__(self, k = 1):
      self._train_data = None
      self._target_data = None

habakan

#encoding:utf-8
import numpy as np
import matplotlib.pyplot as plt
from collections import Counter
from sklearn import datasets
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split

class OlsModel(object):
  def __init__(self):

habakan

#include <sys/types.h>
#include <unistd.h>
#include <stdio.h>
#include <string.h>

int main(){
  pid_t pid;
  char buf[256];
  int pp[2];

habakan

#include <stdio.h>
#include <sys/types.h>
#include <sys/socket.h>
#include <netinet/in.h>

int main(){
 int sock0;

 /*通信についての方法や種類を記述するアドレス構造体を宣言*/
 struct sockaddr_in addr;

habakan

#include <stdio.h>
#include <sys/types.h>
#include <sys/socket.h>
#include <netinet/in.h>

int main() {
 struct sockaddr_in server;
 int sock;
 char buf[32];
 int n;

habakan

#include <stdio.h>
#include <sys/types.h>
#include <sys/socket.h>
#include <netinet/in.h>
#include <arpa/inet.h>
#include <string.h>
#include <fcntl.h>
#include <unistd.h>

int main(int argc, char *argv[]) {

habakan

#include <stdio.h>
#include <sys/types.h>
#include <sys/socket.h>
#include <netinet/in.h>
#include <string.h>
#include <fcntl.h>
#include <unistd.h>

int main(){
 int sock0;

habakan

habakan

apt-get install build-essential libcurl4-openssl-dev
git clone https://github.com/bitzeny/cpuminer.git
cd cpuminer
./autogen.sh
./configure CFLAGS="-O3 -march=native -funroll-loops -fomit-frame-pointer"
make

habakan

from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIAT_data/", one_hot=True)

import tensorflow as tf

x = tf.placeholder(tf.float32, [None, 784])
W = tf.Variable(tf.zeros([784, 10]))
b = tf.Variable(tf.zeros([10]))
y = tf.nn.softmax(tf.matmul(x, W) + b)
y_ = tf.placeholder(tf.float32, [None, 10])