23 lines
751 B
Python
23 lines
751 B
Python
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import pandas
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import os
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from sklearn.model_selection import train_test_split
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CUTOFF = int(os.environ['CUTOFF'])
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salaries = pandas.read_csv('./ium_458023/ds_salaries.csv',engine='python',encoding='ISO-8859-1',sep=',')
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salaries = salaries.dropna()
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salaries = salaries.sample(100)
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X,Y = salaries,salaries
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# SPLIT BETWEEN DEV, TRAINS, AND TEST
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salaries_train, salaries_temp, salaries_train, salaries_temp = train_test_split(X, Y, test_size=0.2, random_state=1)
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salaries_dev, salaries_test, salaries_dev, salaries_test = train_test_split(salaries_temp, salaries_temp, test_size=0.2)
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salaries_train.to_csv('salaries_train.csv', index=False)
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salaries_dev.to_csv('salaries_dev.csv', index=False)
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salaries_test.to_csv('salaries_test.csv', index=False)
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