Installation¶

Requirements¶

Python 3.8 or higher
PyTorch 1.9 or higher
NumPy, Pandas, Scikit-learn

Install via pip¶

pip install og-learn

Install from Source¶

For the latest development version:

git clone https://github.com/your-username/og-learn.git
cd og-learn
pip install -e .

Dependencies¶

OG-Learn will automatically install the following dependencies:

Package	Purpose
`torch`	Neural network models (MLP, ResNet, Transformer)
`numpy`	Numerical operations
`pandas`	Data manipulation
`scikit-learn`	Preprocessing and metrics
`lightgbm`	LightGBM HV model preset
`xgboost`	XGBoost HV model preset
`catboost`	CatBoost HV model preset
`tqdm`	Progress bars
`tensorboard`	Training visualization

Optional Dependencies¶

For full functionality, you may also want to install:

# For TensorBoard visualization
pip install tensorboard

# For Jupyter notebook support
pip install jupyter ipywidgets

Verify Installation¶

import og_learn
print(og_learn.__version__)

# Check available presets
from og_learn import list_presets
list_presets()

Expected output:

Available HV Presets:
  - lightgbm
  - biglightgbm
  - xgboost
  - catboost
  - random_forest
  - decision_tree
  - linear_regression

Available LV Presets:
  - mlp
  - bigmlp
  - resnet
  - transformer