Notebooks¶
The notebooks are optional companion material. They are not part of the main documentation navigation because the public docs focus on galleries, algorithms, benchmarks, and API references.
Available notebooks¶
01_quickstart_robust_distances.ipynb— first robust-distance workflow.02_small_sample_heavy_tail.ipynb— Cauchy, Student-t, and Tyler comparison.03_credit_card_fraud_external_template.ipynb— optional Kaggle fraud walkthrough.04_finance_market_stress.ipynb— market stress and rolling-window diagnostics.
Run them from the repository root:
python -m pip install notebook ipykernel
jupyter notebook notebooks
External-data notebooks assume that the relevant CSV files have already been
downloaded under examples_external/data.