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Name Modified Size InfoDownloads / Week
Parent folder
KingCountyHouse.csv-descript.txt 2025-06-08 557 Bytes
0
KingCountyHouse.csv.gz 2025-06-08 672.0 kB
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houseprices_description_cn.txt 2025-06-08 12.5 kB
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houseprices_description_en.txt 2025-06-08 13.4 kB
0
houseprices_train.csv.gz 2025-06-08 81.3 kB
0
houseprices_test.csv.gz 2025-06-08 74.8 kB
0
iris.csv.gz 2025-06-08 831 Bytes
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weightheight.csv.gz 2025-06-08 104.7 kB
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readme.txt 2025-06-07 745 Bytes
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boston_house_prices_desriptions.txt 2025-06-07 2.0 kB
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mnist_train.csv.gz 2025-06-07 11.6 MB
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mnist_test.csv.gz 2025-06-07 1.9 MB
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california_housing_train.csv.gz 2025-06-07 315.1 kB
1 1 weekly downloads
boston_house_prices.csv.gz 2025-06-07 10.6 kB
0
california_housing_test.csv.gz 2025-06-07 62.7 kB
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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)
Source: readme.txt, updated 2025-06-07