Pickle string：pickle模块实现了一个基本但强大的算法，用于序列化和反序列化Python对象结构。

Pickle型号提供以下功能 -

pickle.dump要序列化对象层次结构，只需使用dump（）。

pickle.load要反序列化数据流，可以调用loads（）函数。

代码实现：

import numpy as np

# Load dataset

from sklearn.datasets import load_iris

iris = load_iris()

X = iris.data

y = iris.target

# Split dataset into train and test

X_train, X_test, y_train, y_test = \

train_test_split(X, y, test_size = 0.3,

random_state = 2018)

# import KNeighborsClassifier model

from sklearn.neighbors import KNeighborsClassifier as KNN

knn = KNN(n_neighbors = 3)

# train model

knn.fit(X_train, y_train)