dubkov

#include <iostream>
#include <math.h>
//#include <conio.h>

using namespace std;

struct Roots{
	int x;
	int z;
};

dubkov

#!/usr/bin/env python
#
# iwlistparse.py
# Hugo Chargois - 17 jan. 2010 - v.0.1
# Parses the output of iwlist scan into a table

# Taken from here: https://bbs.archlinux.org/viewtopic.php?id=88967

import sys

dubkov

 // taken from http://stackoverflow.com/questions/498320/pass-arguments-into-c-program-from-command-line
 
 #include <ctype.h>
 #include <stdio.h>
 #include <stdlib.h>
 #include <unistd.h>

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

dubkov

//from http://www.netzmafia.de/skripten/unix/linux-daemon-howto.html

#include <sys/types.h>
#include <sys/stat.h>
#include <stdio.h>
#include <stdlib.h>
#include <fcntl.h>
#include <errno.h>
#include <unistd.h>
#include <syslog.h>

dubkov

#!/usr/bin/env python2

import numpy as np	
import pylab as pl	

import pydot

from sklearn.datasets import load_iris	
from sklearn.tree import DecisionTreeClassifier	
from sklearn import tree

dubkov

#!/usr/bin/env python2

import numpy as np	
import pylab as pl	
 
from sklearn.tree import DecisionTreeClassifier	
from sklearn import tree

X = []
y = []

dubkov

#Заменить все 0. и 1. на int

#!/usr/bin/env python2

import numpy as np
from sklearn import tree
from sklearn.tree import DecisionTreeClassifier

X = []
y = []

dubkov

#!/usr/bin/env python2

import numpy as np
from sklearn import tree
from sklearn.tree import DecisionTreeClassifier

X = []
y = []

for line in open("haberman.data"):

dubkov

#!/usr/bin/env python2

import numpy as np
from sklearn import tree
from sklearn.tree import DecisionTreeClassifier

X = []
y = []

for line in open("mammographic_masses.data"):

dubkov

[0,0,255;
1,4,255;
2,7,255;
3,11,255;
4,15,255;
5,19,255;
6,22,255;
7,26,255;
8,30,255;
9,33,255;