sklearn

1、简易安装模块

conda install scikit-learn

失败看下面链接

https://sklearn.apachecn.org/docs/master/62.html

2、整体过程(与tensorflow相似)

1)、获取数据

2)、建模

3)、训练模型

4)、测试模型

3、简单案例

from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
# 1.数据
x, y = datasets.load_iris(return_X_y=True)
x_train, x_test, y_train, y_test = train_test_split(x, y, train_size=0.7)

# 2. 模型
model = KNeighborsClassifier()

# 3. 训练
model.fit(x_train, y_train)

# 4.测试(评估)
res = model.score(x_test, y_test)

print(res)