ML-KNN Regressor

# -- coding: utf-8 --
"""
Created on Wed Jul 18 15:00:32 2018

@author: qinlan

主要思想:选取样本的K个近邻样本，用近邻样本的响应值(y)的均值作为该样本的预测值
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn import datasets
from sklearn import preprocessing
from sklearn.model_selection import train_test_split,GridSearchCV
from sklearn.neighbors import KNeighborsRegressor
from sklearn.metrics import mean_squared_error

dataset = datasets.load_boston()
X,y = dataset.data,dataset.target

x = preprocessing.StandardScaler().fit_transform(X)

**def sea