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- training_data = "data/training/training-data.csv"
- training_label = "data/training/training-label.csv"
- X_dataframe = pandas.read_csv(training_data, header=None)
- X = X_dataframe.values
- Y_dataframe = pandas.read_csv(training_label, header=None)
- Y = Y_dataframe.values
- dummy_x = []
- for text in X:
- dummy_x.append(numpy.array(tobow(text[0])[0]))
- bow = numpy.array(dummy_x)
- # encode class values as integers
- encoder = LabelEncoder()
- encoder.fit(Y)
- numpy.save(encoder_path,encoder.classes_)
- encoded_Y = encoder.transform(Y)
- # convert integers to dummy variables (i.e. one hot encoded)
- dummy_y = np_utils.to_categorical(encoded_Y)
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