MAINT more informative azure job names
@@ -8,7 +8,7 @@ jobs:
# 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:
+ py35_ubuntu_atlas:
DISTRIB: 'ubuntu'
PYTHON_VERSION: '3.5'
JOBLIB_VERSION: '0.11'
@@ -28,7 +28,7 @@ jobs:
COVERAGE: 'true'
# Linux environment to test the latest available dependencies and MKL.
# It runs tests requiring pandas and PyAMG.
- pylatest_conda:
+ pylatest_conda_mkl_pandas:
DISTRIB: 'conda'
PYTHON_VERSION: '*'
INSTALL_MKL: 'true'
@@ -51,7 +51,7 @@ jobs:
name: Linux32
vmImage: ubuntu-16.04
matrix:
- py35_np_atlas_32bit:
+ py35_ubuntu_atlas_32bit:
DISTRIB: 'ubuntu-32'
PYTHON_VERSION: '3.5'
JOBLIB_VERSION: '0.11'
@@ -62,7 +62,7 @@ jobs:
name: macOS
vmImage: xcode9-macos10.13
matrix:
- pylatest_conda:
+ pylatest_conda_mkl:
DISTRIB: 'conda'
PYTHON_VERSION: '*'
INSTALL_MKL: 'true'
@@ -79,12 +79,12 @@ jobs:
name: Windows
vmImage: vs2017-win2016
matrix:
- py37_64:
+ py37_conda_mkl:
PYTHON_VERSION: '3.7'
CHECK_WARNINGS: 'true'
PYTHON_ARCH: '64'
PYTEST_VERSION: '4.6.2'
COVERAGE: 'true'
- py35_32:
+ py35_pip_openblas_32bit:
PYTHON_VERSION: '3.5'
PYTHON_ARCH: '32'
