mirror of
https://github.com/Doctorado-ML/bayesclass.git
synced 2025-08-15 23:55:57 +00:00
51 lines
1.6 KiB
YAML
51 lines
1.6 KiB
YAML
dist: trusty
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sudo: false
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language: python
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cache:
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directories:
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- $HOME/.cache/pip
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matrix:
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include:
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- env: PYTHON_VERSION="3.5" NUMPY_VERSION="1.13.1" SCIPY_VERSION="0.19.1"
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SKLEARN_VERSION="0.19.1"
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- env: PYTHON_VERSION="3.6" NUMPY_VERSION="1.13.1" SCIPY_VERSION="0.19.1"
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SKLEARN_VERSION="0.20.3"
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- env: PYTHON_VERSION="3.7" NUMPY_VERSION="*" SCIPY_VERSION="*"
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SKLEARN_VERSION="*"
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- env: PYTHON_VERSION="3.7" NUMPY_VERSION="*" SCIPY_VERSION="*"
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SKLEARN_VERSION="nightly"
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install:
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# install miniconda
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- deactivate
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- wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh
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- MINICONDA_PATH=/home/travis/miniconda
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- chmod +x miniconda.sh && ./miniconda.sh -b -p $MINICONDA_PATH
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- export PATH=$MINICONDA_PATH/bin:$PATH
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- conda update --yes conda
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# create the testing environment
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- conda create -n testenv --yes python=$PYTHON_VERSION pip
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- source activate testenv
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- |
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if [ $SKLEARN_VERSION = "nightly" ]; then
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conda install --yes -c conda-forge numpy==$NUMPY_VERSION scipy==$SCIPY_VERSION
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# install nightly wheels
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pip install --pre -f https://sklearn-nightly.scdn8.secure.raxcdn.com scikit-learn
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else
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conda install --yes -c conda-forge numpy==$NUMPY_VERSION scipy==$SCIPY_VERSION scikit-learn==$SKLEARN_VERSION
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fi
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- pip install codecov cython nose pytest pytest-cov
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- pip install .
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script:
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- pytest -v doc/*rst
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- mkdir for_test
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- cd for_test
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- pytest -v --cov=bayesclass --pyargs bayesclass
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after_success:
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- codecov
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