' sklearn.LinearRegression.fit(X,Y)\n if sp.issparse(X):#如果X是稀疏矩阵\n if y.ndim < 2:\n out = sparse_lsqr(X, y)\n self.coef_ = out[0]\n self._residues = out[3]\n else:\n # sparse_lstsq cannot handle y with shape (M, K)\n outs = Parallel(n_jobs=n_jobs_)(...
通过print(boston['data'])发现数据的数量级差别很大,为了能让梯度下降速度更快,需要做特征缩放(Feature Scaling)或均值归一化(Mean Normalization),这两个操作都是针对某一属性而不是所有数据的。 这里我们使用sklearn MinMaxScaler()函数。 from sklearn.preprocessing import MinMaxScaler ss_input = MinMaxScaler() ...
下载地址:https://archive.ics.uci.edu/ml/machine-learning-databases/housing/housing.data from sklearn.datasets import load_boston boston = load_boston() print(boston.DESCR) Boston House Prices dataset === Notes --- Data Set Characteristics: :Number of Instances: 506 :Number of Attributes: 13 ...
# 查看当前挂载的数据集目录, 该目录下的变更重启环境后会自动还原 # View dataset directory. This directory will be recovered automatically after resetting environment. !ls /home/aistudio/data 一、加载需要的包 In [ ] from sklearn.datasets import load_boston import matplotlib.pyplot as plt import...
#数据集描述( 对应文档需进行数据集说明) import sklearn from sklearn.datasets import load_boston boston = load_boston() dir(boston) ['DESCR', 'data', 'feature_names', 'filename', 'target'] In [2] print(boston.DESCR)#数据集描述 .. _boston_dataset: Boston house prices dataset --- *...
from sklearn.datasets import load_boston boston = load_boston() print(boston.DESCR) Boston House Prices dataset === Notes --- Data Set Characteristics: :Number of Instances: 506 :Number of Attributes: 13 numeric/categorical predictive :Median Value (attribute 14) is usually ...
#导入数据importpandasaspdimportnumpyasnp Boston=pd.read_csv("./BostonHousePriceDataset.csv",usecols=['CRIM','ZN','INDUS','CHAS','NOX','RM','AGE','DIS','RAD','TAX','PTRATIO','B','LSTAT','MEDV'])# 特征 说明# MedianHomePrice 房价中位数# CRIM 人均城镇犯罪率# ZN 25,000平方英尺...
开发者ID:nwf5d,项目名称:scikit-learn,代码行数:32,代码来源:test_common.py 示例4: load_data ▲点赞 2▼ defload_data():"""Load the Boston dataset."""boston = datasets.load_boston()returnboston 开发者ID:shoc2005,项目名称:P1,代码行数:7,代码来源:boston_housing.py ...
波士顿房价数据集(Boston House Price Dataset)(下载地址:http://t.cn/RfHTAgY) 使用sklearn.datasets.load_boston即可加载相关数据。该数据集是一个回归问题。每个类的观察值数量是均等的,共有 506 个观察,13 个输入变量和1个输出变量。 每条数据包含房屋以及房屋周围的详细信息。其中包含城镇犯罪率,一氧化氮浓...
machine-learning numpy sklearn jupyter-notebook pandas matplotlib python-3 boston-housing boston-housing-dataset Updated Mar 3, 2018 HTML kbasu2016 / Udacity-MLND Star 1 Code Issues Pull requests This repository showcases projects that I have done as a partial fulfillment for Udacity's Mach...