Name | Modified | Size | Downloads / Week |
---|---|---|---|
Parent folder | |||
KingCountyHouse.csv-descript.txt | 2025-06-08 | 557 Bytes | |
KingCountyHouse.csv.gz | 2025-06-08 | 672.0 kB | |
houseprices_description_cn.txt | 2025-06-08 | 12.5 kB | |
houseprices_description_en.txt | 2025-06-08 | 13.4 kB | |
houseprices_train.csv.gz | 2025-06-08 | 81.3 kB | |
houseprices_test.csv.gz | 2025-06-08 | 74.8 kB | |
iris.csv.gz | 2025-06-08 | 831 Bytes | |
weightheight.csv.gz | 2025-06-08 | 104.7 kB | |
readme.txt | 2025-06-07 | 745 Bytes | |
boston_house_prices_desriptions.txt | 2025-06-07 | 2.0 kB | |
mnist_train.csv.gz | 2025-06-07 | 11.6 MB | |
mnist_test.csv.gz | 2025-06-07 | 1.9 MB | |
california_housing_train.csv.gz | 2025-06-07 | 315.1 kB | |
boston_house_prices.csv.gz | 2025-06-07 | 10.6 kB | |
california_housing_test.csv.gz | 2025-06-07 | 62.7 kB | |
Totals: 15 Items | 14.8 MB | 1 |
#从给定网址下载数据的包 using Downloads ###各个数据的网址 #训练数据:california_housing_train url_chtrain = "https://sourceforge.net/projects/csv4students/files/CSVinMLDL/california_housing_train.csv.gz/download"; #测试数据:california_housing_test url_chtest = "https://sourceforge.net/projects/csv4students/files/CSVinMLDL/california_housing_test.csv.gz/download"; ###读取数据,存入DataFrame格式中 println("读取数据,存入DataFrame格式中"); #训练数据:california_housing_train df_chtrain = CSV.read(Downloads.download(url_chtrain),DataFrame,header=1) #测试数据:california_housing_test df_chtest = CSV.read(Downloads.download(url_chtest),DataFrame,header=1)