fix/examples not running

.github/workflows/deploy_ghpages.yml

@@ -17,7 +17,14 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v3
+      - name: Cache dependencies
+        uses: actions/cache@v3
+        with:
+          path: ~/.cache/pip
+          key: deploy_ghpages.yml
       - name: Generate HTML docs
+        env:
+          FIREBASE_CERTIFICATE: ${{ secrets.FIREBASE_CERTIFICATE }}
         uses: ammaraskar/sphinx-action@master
         with:
           docs-folder: "doc/"
@@ -32,32 +39,3 @@ jobs:
         with:
           name: DocHTML
           path: doc/build/html/
-
-  # deploy_docs:
-  #   if: github.ref == 'refs/heads/master'
-  #   needs:
-  #     build_docs
-  #   runs-on: ubuntu-latest
-  #   steps:
-  #     - uses: actions/checkout@v3
-  #     - name: Download artifacts
-  #       uses: actions/download-artifact@v2
-  #       with:
-  #         name: DocHTML
-  #         path: doc/build/html/
-  #     - name: Commit to documentation branch
-  #       run: |
-  #         git clone --no-checkout --depth 1 https://github.com/${{ github.repository_owner }}/qndiag.git --branch gh-pages --single-branch gh-pages
-  #         cp -r doc/build/html/* gh-pages/
-  #         cd gh-pages
-  #         touch .nojekyll
-  #         git config --local user.email "pyriemann@github.com"
-  #         git config --local user.name "pyriemann GitHub Action"
-  #         git add .
-  #         git commit -m "Update documentation" -a || true
-  #     - name: Push changes
-  #       uses: ad-m/github-push-action@v0.6.0
-  #       with:
-  #         branch: gh-pages
-  #         directory: gh-pages
-  #         github_token: ${{ secrets.GITHUB_TOKEN }}

doc/requirements.txt

@@ -8,7 +8,7 @@ scikit-learn
 joblib
 pandas
 cvxpy==1.3.1
-git+https://github.com/Qiskit/qiskit-machine-learning#egg=qiskit_machine_learning
+qiskit_machine_learning==0.6.1
 qiskit-ibm-provider==0.5.2
 qiskit-optimization==0.5.0
 qiskit-aer==0.12.0

examples/ERP/classify_P300_bi.py → examples/ERP/plot_classify_P300_bi.py

@@ -134,7 +134,7 @@
     zorder=1,
     palette="Set1",
 )
-sns.pointplot(data=results, y="score", x="pipeline", ax=ax, zorder=1, palette="Set1")
+sns.pointplot(data=results, y="score", x="pipeline", ax=ax, palette="Set1")
 
 ax.set_ylabel("ROC AUC")
 ax.set_ylim(0.3, 1)

examples/ERP/compare_dim_red.py → examples/ERP/plot_compare_dim_red.py

@@ -35,7 +35,7 @@
     # size of the xdawn filter
     "nfilter": [2],  # [1, 2, 3]
     # hyperparameter for the SVC classifier
-    "gamma": [None],  # [None, 0.05, 0.1, 0.15]
+    "gamma": [0.1],  # [None, 0.05, 0.1, 0.15]
     # Determine the number of "run" on the quantum machine (simulated or real)
     # the higher is this number, the lower the variability.
     "shots": [1024],  # [512, 1024, 2048]
@@ -83,7 +83,7 @@ def search(params: dict):
     return grid.best_params_
 
 
-def analyze_multiple(l_params: list[dict]):
+def analyze_multiple(l_params: list):
     best_params = []
     for params in l_params:
         params_space = customize(params)

requirements.txt

@@ -1,6 +1,6 @@
 cython
 git+https://github.com/pyRiemann/pyRiemann#egg=pyriemann
-git+https://github.com/Qiskit/qiskit-machine-learning#egg=qiskit_machine_learning
+qiskit_machine_learning==0.6.1
 qiskit-ibm-provider==0.5.2
 qiskit-optimization==0.5.0
 qiskit-aer==0.12.0