python+opencv+ml《Machine learing for opencv 2017》学习（一）：1和2

---

引言

1.A Taste of Machine Learning

1.1机器学习的三种学习分类

2.Working with Data in OpenCV and Python

2.1workflow

2.2.scipy

2.2.1.sklearn.datasets

from sklearn import datasets
import matplotlib.pyplot as plt

# load_
digits = datasets.load_digits()

# 获取第一张图片
img = digits.images[0, :, :]

# 显示图片
plt.imshow(img,cmap='gray')

2.2.2.sklearn.model_selection

from sklearn import datasets
from sklearn import model_selection

# load_
digits = datasets.load_digits()

# X表示具体的数据data，y表示标签target。
# [训练集的数据][测试集的数据][训练集的标签][测试集的标签]
X_train, X_test, y_train, y_test = model_selection.train_test_split(
    digits.data, digits.target, test_size=0.1, random_state=42
)

2.3matplotlib