一、经典数据集加载方法 Python中获取这四种经典数据集十分容易,只需要下方一行代码即可,反回的数据以Numpy的形式存储。 (x,y),(x_test,y_test)=keras.datasets.mnist.load_data()(x,y),(x_test,y_test)=keras.datasets.cifar10.load_data()#自动下载并装载,速度较慢可自行下载使用(x,y),(x_test,y_...
Index of /ml/machine-learning-databases/housing 散点图 相关系数矩阵 boston_house_prices.csv "CRIM","ZN","INDUS","CHAS","NOX","RM","AGE","DIS","RAD","TAX","PTRATIO","B","LSTAT","MEDV" 0.00632,18,2.31,0,0.538,6.575,65.2,4.09,1,296,15.3,396.9,4.98,24 0.02731,0,7.07,0,...
boston_housing-多分类问题 fromkeras.datasetsimportboston_housingimportnumpy as npfromkerasimportmodelsfromkerasimportlayersimportmatplotlib.pyplot as plt#x,13个特征,一共404条数据#y,连续值标签,单位是千美元(x_train, y_train), (x_test, y_test) =boston_housing.load_data()#对数据做原处理,特征标准...
安装pip install scikit-learn Boston Housing 数据集 此数据集原本应该在 sklearn 中是自带数据集之一,但在 scikit-learn 1.2 版本由于某些特殊原因被移除,所以无法使用load_boston()获取 解决办法:既然自带的数据集没有 Boston Housing,那就想办法在网上找到开放式公共数据集,下载后加载到程序中。这也是网上常见的...
(train_data, train_targets), (test_data, test_targets) = boston_housing.load_data() print(train_data.shape) print(test_data.shape) #目标是房屋价格的中位数,单位是千美元 print(train_targets.shape) #准备数据 #将取值范围差异很大的数据输入到神经网络中,这是有问题的。网络可能会自动适应这种 取...
下载地址:https://archive.ics.uci.edu/ml/machine-learning-databases/housing/housing.data fromsklearn.datasetsimportload_boston boston=load_boston() print(boston.DESCR) BostonHousePricesdataset === Notes --- DataSetCharacteristics: :Number...
boston = load_boston() boston.data.shape boston.feature_names data = pd.DataFrame(boston.data) data.columns = boston.feature_names data.head(10) # Adding 'Price' (target) column to the data boston.target.shape data['Price'] = boston.target ...
(x_test, y_test) = tf.keras.datasets.boston_housing.load_data(path='boston_housing.npz')(x_train,y_train),(x_test,y_test)=tf.keras.datasets.boston_housing.load_data()# There are 13 features we are using for inference.feat_cols=[tf.feature_column.numeric_column(key="features",shape...
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: ...
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: ...