environment.yml

name: predict_lottery
channels:
  - defaults
  - conda-forge
  - pytorch
dependencies:
  - python=3.11
  - pip
  - numpy=1.24.3
  - pandas=2.2.2
  - lxml=5.2.2
  - matplotlib=3.9.0
  - pillow
  - pip:
    - keras==2.15.0
    - -r requirements.lock.txt

# Notes:
# 1) This environment file installs binary packages via conda (numpy, pandas, lxml, matplotlib)
#    which improves reproducibility on Windows/macOS/Linux. After conda creates the env it will
#    run pip to install the remaining packages from `requirements.lock.txt`.
# 2) If you prefer Intel-optimized TensorFlow on Windows, install it after creating the env:
#    conda activate predict_lottery
#    python -m pip install tensorflow-intel==2.15.1
#    (or add it to pip: above if you prefer pip-managed tensorflow)