23 lines
692 B
Python
23 lines
692 B
Python
import pandas as pd
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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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wines = pd.read_csv('data/winemag-data_first150k.csv', engine='python', encoding='ISO-8859-1', sep=',')
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wines = wines.dropna()
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wines = wines.sample(100)
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X, Y = wines, wines
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# SPLIT BETWEEN DEV, TRAINS, AND TEST
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wines_train, wines_temp, wines_train, wines_temp = train_test_split(X, Y, test_size=0.2, random_state=1)
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wines_dev, wines_test, wines_dev, wines_test = train_test_split(wines_temp, wines_temp, test_size=0.2)
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wines_train.to_csv('wines_train.csv', index=False)
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wines_dev.to_csv('wines_dev.csv', index=False)
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wines_test.to_csv('wines_test.csv', index=False)
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