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Document Classification tool

This documentation describes how to run the classification tool written for the purposes of the AI test for McCarthyFinch - Data Scientist position.

Getting Started

Python Libraries

Please check requirements.txt file for the required libraries.

To install the above libraries in your environment, run the following command on Terminal/Command Prompt.

pip install -r requirements.txt

Running the app

  • The app can be run from the src directory using:
python main.py arg1 1arg2 arg3 arg4 arg5 arg6 arg7 arg8

Note that the arguments are pagesCount, wordCount, fileSize, priority, author, title, createdDate, lastEditedDate respectively.

  • To retrain the model, run the following:
python main.py -r [-p arg1] [-s arg2]

Here -r activates the retraining, while -p and -s represents the testing data percentage and the seed value for the train test split.

  • To perform model validation, run the following:
python main.py -v [-f arg1]

Where f is an optional input to the number of folds for cross-validation

Report

The report for the test is stored in the docs folder

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