azure-pipelines.yml

# Adapted from https://github.com/pandas-dev/pandas/blob/master/azure-pipelines.yml
jobs:
- template: build_tools/azure/posix.yml
  parameters:
    name: Linux
    vmImage: ubuntu-16.04
    matrix:
      # Linux environment to test that scikit-learn can be built against
      # versions of numpy, scipy with ATLAS that comes with Ubuntu Xenial 16.04
      # i.e. numpy 1.11 and scipy 0.17
      py35_np_atlas:
        DISTRIB: 'ubuntu'
        PYTHON_VERSION: '3.5'
        SKLEARN_SITE_JOBLIB: '1'
        JOBLIB_VERSION: '0.11'
      # Linux + Python 3.5 build with OpenBLAS and without SITE_JOBLIB
      py35_conda_openblas:
        DISTRIB: 'conda'
        PYTHON_VERSION: '3.5'
        INSTALL_MKL: 'false'
        NUMPY_VERSION: '1.11.0'
        SCIPY_VERSION: '0.17.0'
        CYTHON_VERSION: '*'
        PILLOW_VERSION: '4.0.0'
        COVERAGE: 'true'
      # Linux environment to test the latest available dependencies and MKL.
      # It runs tests requiring pandas and PyAMG.
      # It also runs with the site joblib instead of the vendored copy of joblib.
      pylatest_conda:
        DISTRIB: 'conda'
        PYTHON_VERSION: '*'
        INSTALL_MKL: 'true'
        NUMPY_VERSION: '*'
        SCIPY_VERSION: '*'
        PANDAS_VERSION: '*'
        CYTHON_VERSION: '*'
        PYAMG_VERSION: '*'
        PILLOW_VERSION: '*'
        JOBLIB_VERSION: '*'
        COVERAGE: 'true'
        CHECK_PYTEST_SOFT_DEPENDENCY: 'true'
        TEST_DOCSTRINGS: 'true'
        SKLEARN_SITE_JOBLIB: '1'
        CHECK_WARNINGS: 'true'

- template: build_tools/azure/posix.yml
  parameters:
    name: macOS
    vmImage: xcode9-macos10.13
    matrix:
      pylatest_conda:
        DISTRIB: 'conda'
        PYTHON_VERSION: '*'
        INSTALL_MKL: 'true'
        NUMPY_VERSION: '*'
        SCIPY_VERSION: '*'
        CYTHON_VERSION: '*'
        PILLOW_VERSION: '*'
        JOBLIB_VERSION: '*'
        COVERAGE: 'true'

- template: build_tools/azure/windows.yml
  parameters:
    name: Windows
    vmImage: vs2017-win2016
    matrix:
      py37:
        CONDA_PY: '3.7'
        CHECK_WARNINGS: 'true'
      py35:
        CONDA_PY: '3.5'