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CIKM AnalytiCup 2017 is an open competition that is sponsored by Shenzhen Meteorological Bureau, Alibaba Group and CIKM2017. Our team got the third place in the first phrase. And in the second phrase we got the fourth place.

Python 100.00%
cikm gru radar-maps rainfall tianchi xgboost

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cikm_analyticup_2017's Issues

数据不全

main.py 调用的时候缺少很多 .csv 文件,是压缩包里数据不全的原因吗?
以及很多文件路径都直接写死在了文件里,如:

/home/Team4/Team4/

数据缺失问题

之前有人问您 按照您说的我把main文件check_code('simple', 'online')注释,把check_code('all', 'no')打开之后,有特定文件指向,是少文件吗?还是运行处理数据代码时过程出现了问题?有没有流程文件可供参考呢?

请教:运行报错

运行main.py生成train data,最后一条如下:

['train_8152', 13.76, 23.04, 79.52, 0.0, 0.0, 0.0, 95.72, 111.44, 47.6, 23.72, 10.12, 1.92, 128.96, 113.48, 64.28, 10.84, 20.56, 5.72, 120.56, 67.64, 69.6, 75.56, 18.68, 4.0, 15.28, 10.92, 138.44, 98.44, 10.56, 2.0, 11.6, 27.56, 23.24, 74.24, 8.56, 0.88, 18.56, 35.24, 103.16, 2.12, 0.0, 0.0, 122.72, 92.6, 75.8, 30.2, 3.04, 1.52, 123.92, 106.28, 68.72, 12.12, 26.72, 3.04, 127.04, 88.76, 48.52, 84.92, 28.6, 0.0, 22.52, 20.4, 124.48, 128.6, 22.08, 1.76, 10.32, 24.68, 20.08, 88.52, 19.84, 0.0, 52.68, 46.24, 93.44, 1.76, 0.0, 0.0, 116.96, 84.92, 77.36, 25.44, 10.2, 4.8, 118.16, 99.08, 70.04, 30.72, 39.48, 0.0, 130.28, 93.68, 33.2, 120.44, 36.28, 0.0, 29.12, 26.68, 112.64, 142.04, 21.96, 0.0, 10.96, 28.16, 19.8, 70.6, 26.48, 0.0, 61.44, 36.04, 89.6, 3.76, 0.0, 4.8, 128.24, 87.32, 80.48, 38.48, 13.64, 6.64, 112.4, 95.24, 71.24, 55.88, 50.96, 8.4, 127.28, 96.8, 21.08, 133.28, 60.92, 6.2, 31.16, 25.64, 67.04, 130.16, 44.96, 0.0, 20.28, 24.32, 27.8, 71.16, 42.04, 1.04, 94.48, 64.28, 81.92, 18.72, 0.0, 2.2, 134.24, 90.2, 93.92, 43.64, 4.76, 9.56, 102.68, 91.76, 75.44, 58.64, 68.48, 10.72, 135.8, 98.0, 33.8, 130.76, 78.44, 7.44, 27.12, 21.08, 72.8, 124.16, 43.76, 0.0, 21.2, 22.2, 16.8, 75.92, 41.12, 69.16, 116.76, 73.16, 82.04, 40.56, 0.0, 0.0, 132.32, 97.52, 115.04, 71.6, 18.44, 0.0, 87.32, 90.32, 83.84, 74.48, 105.68, 11.0, 129.2, 91.4, 17.44, 124.52, 87.08, 18.88, 23.8, 15.88, 32.28, 124.52, 76.84, 26.04, 19.52, 23.0, 30.72, 56.32, 61.52, 122.6, 129.32, 95.6, 101.36, 44.44, 0.0, 0.0, 118.16, 90.56, 127.4, 72.68, 54.08, 1.92, 57.84, 81.92, 86.48, 97.4, 138.68, 26.16, 114.32, 79.28, 41.56, 132.2, 112.88, 46.96, 30.88, 22.16, 13.24, 97.16, 81.2, 52.36, 23.36, 25.4, 41.96, 39.4, 59.96, 110.48, 131.36, 105.8, 114.08, 31.28, 0.0, 2.64, 113.48, 110.24, 137.72, 71.84, 59.36, 0.0, 35.96, 66.68, 79.4, 96.08, 140.48, 16.6, 109.68, 68.72, 61.88, 124.4, 126.8, 58.6, 33.52, 2.56, 15.2, 101.0, 84.68, 51.92, 17.56, 22.52, 36.92, 11.72, 60.88, 118.4, 136.28, 137.84, 133.4, 23.16, 7.64, 0.0, 118.64, 117.68, 135.32, 70.76, 57.56, 3.76, 55.56, 63.08, 81.56, 144.44, 128.72, 17.76, 108.44, 72.8, 55.28, 117.44, 110.72, 80.76, 36.68, 8.4, 8.0, 94.16, 83.96, 54.32, 24.24, 23.12, 36.16, 4.48, 79.08, 129.32, 137.0, 147.2, 136.64, 60.56, 5.12, 0.0, 118.16, 114.32, 132.68, 80.36, 61.76, 2.4, 20.4, 59.6, 81.32, 148.4, 134.72, 41.68, 93.36, 75.32, 65.24, 113.6, 107.72, 97.08, 26.36, 19.64, 9.16, 78.88, 83.6, 59.12, 28.88, 25.4, 44.32, 20.48, 64.28, 125.96, 131.12, 145.64, 140.72, 86.52, 4.52, 0.76, 122.24, 84.2, 120.2, 109.28, 103.88, 1.92, 23.84, 53.84, 86.24, 132.2, 150.32, 71.8, 79.16, 72.68, 57.2, 79.72, 116.24, 88.04, 39.84, 45.84, 14.24, 25.0, 89.96, 88.16, 33.8, 51.32, 24.96, 23.12, 62.44, 122.24, 127.08, 156.92, 138.08, 81.32, 15.8, 0.0, 110.72, 75.92, 106.04, 114.68, 117.44, 59.36, 47.4, 26.56, 76.64, 133.76, 148.88, 71.24, 60.8, 61.4, 46.92, 65.72, 125.6, 92.84, 42.8, 38.44, 52.68, 8.28, 83.0, 106.28, 30.92, 56.6, 38.24, 0.0, 45.2, 106.84, 6.5]

之后就会报错,请教下是什么问题?报错信息信息如下:
File "/home/simon/source/code/CIKM-Cup-2017-master/huaibeicun/model/main.py", line 64, in
check_code('all','no')

File "/home/simon/source/code/CIKM-Cup-2017-master/huaibeicun/model/main.py", line 26, in check_code
train_add = dp.dataprocess(trainfile, data_type='train', windversion='old')

File "../dataprocess/data_process8.py", line 280, in dataprocess
id_label, con_mat = train_convolution(line, data_type)

File "../dataprocess/data_process8.py", line 220, in train_convolution
mat = np.array(record).reshape(15,4,101,101)

ValueError: cannot reshape array of size 251031 into shape (15,4,101,101)

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