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48 lines
1.1 KiB
48 lines
1.1 KiB
8 years ago
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res = []
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with open('./rank-00000') as f:
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for line in f:
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pred = map(int,line.strip('\r\n;').split(";"))
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#raw prediction range from 0 to 3
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res.append([i+1 for i in pred])
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file_name = open('./data/pred.list').read().strip('\r\n')
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FORECASTING_NUM=24
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header=['id',
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'201604200805',
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'201604200810',
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'201604200815',
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'201604200820',
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'201604200825',
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'201604200830',
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'201604200835',
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'201604200840',
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'201604200845',
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'201604200850',
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'201604200855',
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'201604200900',
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'201604200905',
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'201604200910',
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'201604200915',
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'201604200920',
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'201604200925',
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'201604200930',
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'201604200935',
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'201604200940',
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'201604200945',
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'201604200950',
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'201604200955',
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'201604201000',
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]
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###################
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## To CSV format ##
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###################
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with open(file_name) as f:
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f.next()
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print ','.join(header)
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for row_num, line in enumerate(f):
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fields = line.rstrip('\r\n').split(',')
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linkid = fields[0]
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print linkid+','+','.join(map(str,res[row_num]))
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