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azure-pipelines.yml
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azure-pipelines.yml
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variables:
- name: python.version
value: '3.8'
jobs:
- job: Linux_Sklearn
pool:
vmImage: 'ubuntu-20.04'
steps:
- task: UsePythonVersion@0
displayName: 'Use Python $(python.version)'
inputs:
versionSpec: '$(python.version)'
- script: |
pip install -r sklearn_bench/requirements.txt
python runner.py --configs configs/testing/sklearn.json
displayName: Run bench
- job: Linux_XGBoost
pool:
vmImage: 'ubuntu-20.04'
steps:
- task: UsePythonVersion@0
displayName: 'Use Python $(python.version)'
inputs:
versionSpec: '$(python.version)'
- script: |
pip install -r xgboost_bench/requirements.txt
python runner.py --configs configs/testing/xgboost.json --no-intel-optimized
displayName: Run bench
- job: Linux_daal4py
pool:
vmImage: 'ubuntu-20.04'
steps:
- task: UsePythonVersion@0
displayName: 'Use Python $(python.version)'
inputs:
versionSpec: '$(python.version)'
- script: |
pip install -r daal4py_bench/requirements.txt
python runner.py --configs configs/testing/daal4py.json --no-intel-optimized
displayName: Run bench
- job: Linux_XGBoost_and_daal4py
pool:
vmImage: 'ubuntu-20.04'
steps:
- script: |
conda update -y -q conda
conda create -n bench -q -y -c conda-forge python=3.7 pandas xgboost scikit-learn daal4py tqdm
displayName: Create Anaconda environment
- script: |
. /usr/share/miniconda/etc/profile.d/conda.sh
conda activate bench
python runner.py --configs configs/testing/daal4py_xgboost.json --no-intel-optimized
displayName: Run bench
- job: Pep8
pool:
vmImage: 'ubuntu-20.04'
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: '$(python.version)'
addToPath: true
- script: |
python -m pip install --upgrade pip setuptools
pip install flake8
flake8 --max-line-length=100 --count
displayName: 'PEP 8 check'
- job: Mypy
pool:
vmImage: 'ubuntu-20.04'
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: '$(python.version)'
addToPath: true
- script: |
python -m pip install --upgrade pip setuptools
pip install mypy data-science-types
mypy . --ignore-missing-imports
displayName: 'mypy check'