Installing requirements.txt

pip install -r requirements.txt

Evaluation:

python main.py -t

Note: You need to put the test.txt file in the folder Polynomial/

Note2: Since the predict() function (from the given starter code) accepts one expression at a time I havent been able to do batch processing during prediction, making it slower.

Training the NN

python train.py

Note: This will train the model on data from train.txt

Approach discussion

Open Approach_explanation.pdf to view a brief doc on my work.

Other details

1. Model weights and language details are stored in polynomial/weights

2. network.txt contains the printed network architecture for the best performing model.

3. Extra model weights (for model 1, 2, 3 (described in Approach_explanation.pdf)) uploaded here just in case. Although a few other changes would need to be made to the code to run using these weights.