https://github.com/doubleml/dml-hyperparameter-tuning-replication
In this Repo we provide the replication code to our simulations as well as the results.
https://github.com/doubleml/dml-hyperparameter-tuning-replication
Last synced: 10 months ago
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In this Repo we provide the replication code to our simulations as well as the results.
- Host: GitHub
- URL: https://github.com/doubleml/dml-hyperparameter-tuning-replication
- Owner: DoubleML
- Created: 2024-01-18T13:49:09.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-29T21:54:57.000Z (over 2 years ago)
- Last Synced: 2025-07-27T03:54:19.997Z (11 months ago)
- Language: Jupyter Notebook
- Size: 21.6 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# DML Hyperparameter Tuning Replication Files
In this Repo we provide the replication code to our simulations as well as the results. The code for the motivating example (Section 2) is provided in the subdirectory `motivation_example_BCH`, see [the separate README file](motivation_example_BCH/README.md) for more information.
## Data Generating Processes
The data generating processes (dgp) can be found in the `dgp` folder. Note: Due to capacity constrains, we do not provide the `ACIC` datasets. However, the `R` files creating the datasets can be found on the [ACIC 2019 data challenge website]([https://drive.google.com/file/d/1Qqgmb3R9Vt9KTx6t8i_5IbFenylsPfrK/view?usp=sharing](https://sites.google.com/view/acic2019datachallenge/data-challenge)https://sites.google.com/view/acic2019datachallenge/data-challenge).
## Simulation Files
The files for running the simulation study can be found in the `simulations` folder.
## Results
The text files containing the raw results of our simulation runs can be found in the `results` folder.
## Figures and Tables
The notebooks creating the figures and tables from the paper can be found int the `evaluation` folder.