对于knn来说，训练集就是模型
使用scikit-learn中的KNN
from sklearn.neighbors import KNeighborsClassifier
KNN_classfier = KNeighborsClassifier(n_neighbors=6)
import numpy as np
import matplotlib.pyplot as plt
raw_data_x = [[3.393533211, 2.331273381],
[3.110073483, 1.781539638],
[1.343808831, 3.368360954],
[3.582294042, 4.679779110],
[2.280362439, 2.866990263],
[7.423436942, 4.696522875],
[5.745015997, 3.533989803],
[9.172168622, 2.511101045],
[7.792783487, 3.424088941],
[7.9939820917, 0.791637231]
]
raw_data_y = [0, 0, 0, 0, 0, 1, 1, 1, 1, 1]
X_train = np.array(raw_data_x)
y_train = np.array(raw_data_y)
KNN_classfier.fit(X_train, y_train)
KNeighborsClassifier(n_neighbors=6)
x = np.array([8.093607318, 3.365731514])
X_test = x.reshape(1,-1)
X_test
array([[8.09360732, 3.36573151]])
KNN_classfier.predict(X_test)
array([1])
y_predict = KNN_classfier.predict(X_test)
y_predict[0]
1
