A neural network model to predict arithmetic operation results.
MathModel generates synthetic datasets of arithmetic operations (+, -, *, /) and trains a neural network to accurately predict the results of these operations.
This project uses Poetry for dependency management and pytest for testing.
# Install dependencies
poetry install
# Install development dependencies
poetry install --with devpoetry run python math_model.pyAfter training, the following files are created:
trained_math_model.keras— Trained neural network model.max_input_value.npy— Scaling factor used for input normalization.
You can run tests locally using:
# Run all tests
poetry run pytest
# Run tests with coverage and HTML report
poetry run python run_tests.py --coverage --htmlThis project uses GitHub Actions to run tests on every push to the main branch and on pull requests.
Test reports are automatically generated and published to GitHub Pages after successful runs on the main branch.
