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The goal is to perform classification using logistic regression and neural networks based upon bag-of-words representations.

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auNLP/A2-classification

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see assignment_description.md for a description of the assignment

Summary

Performance

Project Organization

The organization of the project is as follows:

├── LICENSE                    <- the license of this code
├── README.md                  <- The top-level README for this project.
├── .github            
│   └── workflows              <- workflows to automatically run when code is pushed
│   │    └── pytest.yml        <- A workflow which runs pytests upon push
├── classification             <- The main folder for scripts
│   ├── tests                  <- The pytest test suite
│   │   └── ...
|   └── ...
├── .gitignore                 <- A list of files not uploaded to git
├── requirement.txt            <- A requirements file of the required packages.
└── assignment_description.md  <- the assignment description

Running the code

You can run the reproduce all the experiment by cloning the GitHub repository and running the following:

pip install -r requirement.txt
python classification/main.py

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The goal is to perform classification using logistic regression and neural networks based upon bag-of-words representations.

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