update interpret-community to ml-wrappers 0.6.0

.github/workflows/CI-python.yml

@@ -56,7 +56,7 @@ jobs:
       run: |
         pip install raiwidgets
         pip install -r requirements-vis.txt
-        pip install --upgrade "shap<=0.44.0"
+        pip install --upgrade "shap<=0.46.0"
     - if: ${{ matrix.pythonVersion == '3.9' }}
       name: Install scikit-learn to work around raiwidgets dependency
       shell: bash -l {0}
@@ -66,6 +66,7 @@ jobs:
       shell: bash -l {0}
       run: |
         pip install -r requirements-test.txt
+        pip install --upgrade "pandas>2.0"
     - name: Test with pytest
       shell: bash -l {0}
       run: |

.github/workflows/release-interpret-community.yml

@@ -50,7 +50,7 @@ jobs:
           pip install raiwidgets
           pip install -r requirements-vis.txt
           pip install --upgrade scikit-learn
-          pip install --upgrade "shap<=0.44.0"
+          pip install --upgrade "shap<=0.46.0"
 
       - name: Install test dependencies
         shell: bash -l {0}

devops/templates/create-env-step-template.yml

@@ -19,15 +19,13 @@ steps:
 
   - bash: |
       source activate ${{parameters.condaEnv}}
-      conda install --yes --quiet --name  ${{parameters.condaEnv}} "numpy<1.24.0" -c conda-forge
-      conda install --yes --quiet --name  ${{parameters.condaEnv}} pytorch torchvision cpuonly -c pytorch
+      conda install --yes --quiet --name  ${{parameters.condaEnv}} pytorch torchvision cpuonly -c pytorch -c conda-forge --strict-channel-priority
     displayName: Install Anaconda packages
     condition:  ne(variables['Agent.OS'], 'Darwin')
 
   - bash: |
       source activate ${{parameters.condaEnv}}
-      conda install --yes --quiet --name  ${{parameters.condaEnv}} "numpy<1.24.0" -c conda-forge
-      conda install --yes --quiet --name  ${{parameters.condaEnv}} pytorch torchvision -c pytorch
+      conda install --yes --quiet --name  ${{parameters.condaEnv}} pytorch torchvision -c pytorch -c conda-forge --strict-channel-priority
     displayName: Install Anaconda packages on MacOS, which should not include cpuonly according to official docs
     condition:  eq(variables['Agent.OS'], 'Darwin')
 

devops/templates/test-run-step-template.yml

@@ -71,7 +71,7 @@ steps:
     pip install responsibleai
     pip install rai-core-flask==0.7.6
     pip install raiwidgets --no-deps
-    pip install --upgrade "shap<=0.44.0"
+    pip install --upgrade "shap<=0.46.0"
     pip install -r requirements-vis.txt
   displayName: Install vis required pip packages
 

python/setup.py

@@ -37,12 +37,11 @@
     'numpy',
     'pandas',
     'scipy',
-    'ml-wrappers~=0.5.4',
+    'ml-wrappers~=0.6.0',
     'scikit-learn',
     'packaging',
-    'interpret-core>=0.1.20, <0.5.0; python_version <= "3.7"',
-    'interpret-core>=0.1.20, <=0.5.0; python_version >= "3.8"',
-    'shap>=0.20.0, <=0.44.0',
+    'interpret-core>=0.1.20, <=0.6.9',
+    'shap>=0.20.0, <=0.46.0',
     'raiutils~=0.4.0'
 ]
 

requirements-dev.txt

@@ -1,6 +1,6 @@
 xmlrunner
 mlflow
-tensorflow<2.14.0
+tensorflow
 hdbscan
 lightgbm
 xgboost<2.1.0

tests/common_utils.py

@@ -247,7 +247,7 @@ def create_keras_regressor(X, y):
     epochs = 12
     model = _common_model_generator(X.shape[1])
     model.add(Activation('linear'))
-    model.compile(loss=keras.losses.mean_squared_error,
+    model.compile(loss=keras.losses.MeanSquaredError,
                   optimizer=keras.optimizers.Adadelta(),
                   metrics=['accuracy'])
     model.fit(X, y,