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My The code has been intentionally broken into contains two parts: data preprocessing Data Preprocessing and model trainingModel Training/predictionPrediction.
The first part of the code is all about data * Data Preprocessing (preprocessing which I will discuss later. But basically py) : this is where you transform your single transfer a text based "XXX.txt" input file into a numerical value based pickle file that the later part of the code can understand and use for training and prediction. To run this part:
python preprocessing# modify the target file name in main() # don't add ".pytxt" extension file_name = 'ThicketDefCodingTestProcessed' # specify the expected columns
→How to Run the Code
==How to Run the Code==
The second part of the code is where the deep neural network is. It will load in the pickle file you generated in the previous step and train the neural network. At the end, the well trained neural network will predict on your testing examples and print the accuracy. To run this part:
