machine learning library

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Sofia
05 Aug 2018
1#              pip install ModelAuto
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4# 				Sample code 
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8from ModelAuto.Datapreprocess  import  Preprocessing
9from ModelAuto.FeatureSelection  import  backwardElimination
10from ModelAuto.ModelSelection  import  Regress_model
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12DATA = pd.read_csv('Path/to/file.csv')
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15			''' 1. Data Preprocessing '''
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17X_train , X_test = Preprocessing( X_train, X_test , Multi =True)
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19			''' 2. Select best Features '''
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21Features = backwardElimination( x_train , y_train )
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23			''' 3.  Select best Model    '''
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25x_train, x_test, y_train, y_test = train_test_split( Features , y_train, test_size=0.2, random_state=1 )
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27Model = Regress_model( x_train,x_test,y_train,y_test )
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29			''' 4. Make Predicatoins '''
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31Predictions = Model.predict('Test Data')
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34# 	https://github.com/Sudhanshu1304/ModelAuto
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