Create python-package-conda.yml

.github/workflows/python-package-conda.yml

@@ -0,0 +1,38 @@
+name: Python Package using Conda
+
+on: [push]
+
+jobs:
+  build-linux:
+    runs-on: ubuntu-latest
+    strategy:
+      max-parallel: 5
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python 3.7
+      uses: actions/setup-python@v3
+      with:
+        python-version: '3.7'
+    - name: Add conda to system path
+      run: |
+        # $CONDA is an environment variable pointing to the root of the miniconda directory
+        echo $CONDA/bin >> $GITHUB_PATH
+    - name: Install dependencies
+      run: |
+        sudo apt-get install -y libsndfile1
+        conda install -c conda-forge mlflow
+    - name: Test data fetching
+      run: |
+        mlflow run -e fetch --experiment-name fetch .
+    - name: Lint with flake8
+      run: |
+        conda install flake8
+        # stop the build if there are Python syntax errors or undefined names
+        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+    - name: Test with pytest
+      run: |
+        conda install pytest
+        pytest

README.md

@@ -47,9 +47,9 @@ We recommend Miniconda, see [Conda official site](https://docs.conda.io/en/lates
    conda create -n my-mlflow
    conda activate my-mlflow
    ```
-2. Install Mlflow to the created environment
+2. Install MLflow to the created environment
    ```sh
-   conda install mlflow
+   conda install -c conda-forge mlflow
    ```
 3. Clone the repo
    ```sh