├── .github └── workflows │ ├── build_docs.yaml │ └── run_tests.yaml ├── .gitignore ├── LICENSE ├── MANIFEST.in ├── README.md ├── colm-2024-paper-code ├── README.md ├── config │ ├── tabular-system-prompts.yaml │ ├── time-series │ │ ├── msci-world.yaml │ │ ├── nasdaqcomp.yaml │ │ ├── netflix.yaml │ │ ├── usd-eur.yaml │ │ └── usd-yuan.yaml │ └── transform │ │ ├── acs-income.yaml │ │ ├── acs-travel.yaml │ │ ├── adult.yaml │ │ ├── california-housing.yaml │ │ ├── fico.yaml │ │ ├── icu.yaml │ │ ├── iris.yaml │ │ ├── openml-diabetes.yaml │ │ ├── spaceship-titanic.yaml │ │ ├── titanic.yaml │ │ └── uci-wine.yaml ├── datasets │ ├── acs-income-2022.csv │ ├── acs-travel-2022.csv │ ├── adult-train.csv │ ├── california-housing.csv │ ├── icu.csv │ ├── iris.csv │ ├── openml-diabetes.csv │ └── uci-wine.csv ├── environment.yml ├── notebooks │ ├── datasets.ipynb │ ├── evaluate_statistical_experiments.ipynb │ ├── evaluate_tabular_experiments.ipynb │ ├── evaluate_time_series_experiments.ipynb │ ├── memorization-tests.ipynb │ └── statistical-models.ipynb ├── preprocessing │ ├── acs.ipynb │ ├── spaceship_titanic_name_mapping.yaml │ ├── statistical-learning.ipynb │ └── titanic-names.ipynb ├── results │ └── tabllm_results.csv ├── run_statistical_experiments.py ├── run_tabular_experiments.py ├── run_time_series_experiments.py ├── statutils.py └── tabular_queries.py ├── docs ├── Makefile ├── _static │ └── custom.css ├── api_reference.rst ├── conf.py ├── index.rst └── make.bat ├── examples ├── MLE-bench-contamination.ipynb └── tabular-datasets.ipynb ├── img ├── dataset_name.png ├── elephant.webp ├── feature_completion.png ├── feature_names.png ├── feature_values.png ├── header.png ├── row_completion.png └── samples.png ├── pyproject.toml ├── setup.py ├── tabmemcheck ├── __init__.py ├── analysis.py ├── chat_completion.py ├── datasets │ ├── __init__.py │ ├── load.py │ └── transform.py ├── functions.py ├── llm.py ├── resources │ ├── __init__.py │ ├── config │ │ ├── __init__.py │ │ ├── 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