diff --git a/.github/workflows/python-publish.yml b/.github/workflows/python-publish.yml index d39a0a03..fe1b5a25 100644 --- a/.github/workflows/python-publish.yml +++ b/.github/workflows/python-publish.yml @@ -22,7 +22,7 @@ jobs: - name: Set up Python uses: actions/setup-python@v2 with: - python-version: '3.7' + python-version: '3.8' - name: Install dependencies run: | python -m pip install --upgrade pip diff --git a/README.md b/README.md index e99628c0..607a4757 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,7 @@ LibMultiLabel is a library for binary, multi-class, and multi-label classificati This is an on-going development so many improvements are still being made. Comments are very welcome. ## Environments -- Python: 3.7+ +- Python: 3.8+ - CUDA: 11.6 (if training neural networks by GPU) - Pytorch 1.13.1+ diff --git a/docs/cli/ov_data_format.rst b/docs/cli/ov_data_format.rst index 620c6b0b..74bd6a82 100644 --- a/docs/cli/ov_data_format.rst +++ b/docs/cli/ov_data_format.rst @@ -24,7 +24,7 @@ Install LibMultiLabel from Source * Environment - * Python: 3.7+ + * Python: 3.8+ * CUDA: 11.6 (if training neural networks by GPU) * Pytorch 1.13.1+ @@ -37,7 +37,7 @@ and then create a virtual enviroment as follows. .. code-block:: bash - conda create -n LibMultiLabel python=3.7 + conda create -n LibMultiLabel python=3.8 conda activate LibMultiLabel * Clone `LibMultiLabel `_. diff --git a/setup.cfg b/setup.cfg index 921ec6c2..77a73f0f 100644 --- a/setup.cfg +++ b/setup.cfg @@ -19,7 +19,6 @@ classifiers = License :: OSI Approved :: MIT License Operating System :: OS Independent Programming Language :: Python :: 3 - Programming Language :: Python :: 3.7 Programming Language :: Python :: 3.8 [options] @@ -39,7 +38,7 @@ install_requires = scipy transformers -python_requires = >=3.7 +python_requires = >=3.8 [options.extras_require] linear =