masayang

$ sudo apt-get install graphviz
$ dot -T png -o decisiontree_simple.png decisiontree_simple.graphviz

masayang

http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data

上記にあるデータをiris.dataとして保存

masayang

import numpy as np
import matplotlib.pyplot as plt
from sklearn.naive_bayes import GaussianNB

x1 = np.genfromtxt("class1.csv", delimiter = ",")
x2 = np.genfromtxt("class2.csv", delimiter = ",")

y1 = np.zeros(x1.shape[0])
y2 = np.ones(x2.shape[0])

masayang

import numpy as np
import matplotlib.pyplot as plt
from sklearn import naive_bayes

x = np.genfromtxt("source.csv", delimiter=",")

plt.scatter(x[:,0], x[:,1])
plt.savefig("readfromtxt.png")

masayang

import numpy as np
from sklearn import linear_model
import matplotlib.pyplot as plt

X = np.array([[0, 0, 1], [1, 1, 2], [2, 2, 3], [3, 3, 3.1]])
Y = np.array([0.1, 1.1, 1.8, 2.7])

regr = linear_model.LinearRegression()
regr.fit(X, Y)

masayang

import numpy as np
from sklearn import linear_model
import matplotlib.pyplot as plt

array = np.array([[0, 0.1], [1, 1.1], [2, 1.8], [3, 2.7]])
print array

X = array[:, 0:1]
Y = array[:, 1]

masayang

import numpy as np
from sklearn import linear_model
import matplotlib.pyplot as plt

X = np.array([[0], [1], [2], [3]])
Y = np.array([0.1, 1.1, 1.8, 2.7])

regr = linear_model.LinearRegression()
regr.fit(X, Y)

masayang

Irisデータセットの取得

Shellから
$ wget http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data

GUIから
ブラウザで http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data を開き、データをダウンロード

masayang

$ source virtualenvwrapper.sh
$ lsvirtualenv 
bootcamp1
$ workon bootcamp1
(bootcamp1)$ lssitepackages 
dateutil                         pylab.pyc
easy-install.pth                 pytz
matplotlib                       scikit_learn-0.12-py2.7.egg-info
matplotlib-1.1.1-py2.7.egg-info  scipy
mpl_toolkits                     scipy-0.11.0-py2.7.egg-info

masayang

import sys

if __name__ == '__main__':
    print sys.argv