v2
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@ -21,7 +21,7 @@ warnings.filterwarnings('ignore')
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# functions
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def generate_test_set(type_of_comp):
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file_path_list = fs.ls(f"projet-bdc2324-team1/Generalization/{type_of_comp}/Test_set")
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file_path_list = fs.ls(f"projet-bdc2324-team1/Generalization_v2/{type_of_comp}/Test_set")
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test_set = pd.DataFrame()
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for file in file_path_list:
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print(file)
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@ -32,7 +32,7 @@ def generate_test_set(type_of_comp):
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def generate_train_set(type_of_comp):
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file_path_list = fs.ls(f"projet-bdc2324-team1/Generalization/{type_of_comp}/Train_set")
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file_path_list = fs.ls(f"projet-bdc2324-team1/Generalization_v2/{type_of_comp}/Train_set")
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train_set = pd.DataFrame()
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for file in file_path_list:
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print(file)
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@ -43,7 +43,7 @@ def generate_train_set(type_of_comp):
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type_of_comp = input('Choisissez le type de compagnie : sport ? musique ? musee ?')
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BUCKET_OUT = f'projet-bdc2324-team1/Generalization/{type_of_comp}/'
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BUCKET_OUT = f'projet-bdc2324-team1/Generalization_v2/{type_of_comp}/'
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# create test and train datasets
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test_set = generate_test_set(type_of_comp)
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