update samples from Release-173 as a part of SDK release

update samples from Release-172 as a part of  SDK release

how-to-use-azureml/deployment/deploy-multi-model/multi-model-register-and-deploy.ipynb

@@ -239,7 +239,7 @@
         "\n",
         "env = Environment(\"deploytocloudenv\")\n",
         "env.python.conda_dependencies.add_pip_package(\"joblib\")\n",
-        "env.python.conda_dependencies.add_pip_package(\"numpy\")\n",
+        "env.python.conda_dependencies.add_pip_package(\"numpy==1.23\")\n",
         "env.python.conda_dependencies.add_pip_package(\"scikit-learn=={}\".format(sklearn.__version__))"
       ]
     },

how-to-use-azureml/deployment/deploy-to-cloud/model-register-and-deploy.ipynb

@@ -285,7 +285,7 @@
         "    'azureml-defaults',\n",
         "    'inference-schema[numpy-support]',\n",
         "    'joblib',\n",
-        "    'numpy',\n",
+        "    'numpy==1.23',\n",
         "    'scikit-learn=={}'.format(sklearn.__version__)\n",
         "])"
       ]
@@ -486,7 +486,7 @@
         "    'azureml-defaults',\n",
         "    'inference-schema[numpy-support]',\n",
         "    'joblib',\n",
-        "    'numpy',\n",
+        "    'numpy==1.23',\n",
         "    'scikit-learn=={}'.format(sklearn.__version__)\n",
         "])\n",
         "inference_config = InferenceConfig(entry_script='score.py', environment=environment)\n",

how-to-use-azureml/deployment/deploy-with-controlled-rollout/deploy-aks-with-controlled-rollout.ipynb

@@ -110,7 +110,7 @@
         "    pip_packages=[\n",
         "    'azureml-defaults',\n",
         "    'inference-schema[numpy-support]',\n",
-        "    'numpy',\n",
+        "    'numpy==1.23',\n",
         "    'scikit-learn==0.22.1',\n",
         "    'scipy'\n",
         "])"

how-to-use-azureml/deployment/production-deploy-to-aks/production-deploy-to-aks-ssl.yml

@@ -5,4 +5,4 @@ dependencies:
   - matplotlib
   - tqdm
   - scipy
-  - sklearn
+  - scikit-learn

how-to-use-azureml/deployment/production-deploy-to-aks/production-deploy-to-aks.yml

@@ -5,4 +5,4 @@ dependencies:
   - matplotlib
   - tqdm
   - scipy
-  - sklearn
+  - scikit-learn

how-to-use-azureml/explain-model/azure-integration/gpu-explanation/train-explain-model-gpu-tree-explainer.ipynb

@@ -239,6 +239,7 @@
         "available_packages = pkg_resources.working_set\n",
         "pandas_ver = None\n",
         "numpy_ver = None\n",
+        "sklearn_ver = None\n",
         "for dist in list(available_packages):\n",
         "    if dist.key == 'pandas':\n",
         "       pandas_ver = dist.version\n",
@@ -247,12 +248,17 @@
         "           numpy_ver = dist.version\n",
         "       else:\n",
         "           numpy_ver = '1.21.6'\n",
+        "    if dist.key == 'scikit-learn':\n",
+        "        sklearn_ver = dist.version\n",
         "pandas_dep = 'pandas'\n",
         "numpy_dep = 'numpy'\n",
+        "sklearn_dep = 'scikit-learn'\n",
         "if pandas_ver:\n",
         "    pandas_dep = 'pandas=={}'.format(pandas_ver)\n",
         "if numpy_ver:\n",
         "    numpy_dep = 'numpy=={}'.format(numpy_ver)\n",
+        "if sklearn_ver:\n",
+        "    sklearn_dep = 'scikit-learn=={}'.format(sklearn_ver)\n",
         "\n",
         "# Note: we build shap at commit 690245 for Tesla K80 GPUs\n",
         "env.docker.base_dockerfile = f\"\"\"\n",
@@ -292,7 +298,8 @@
         "pip uninstall -y xgboost && \\\n",
         "conda install py-xgboost==1.3.3 && \\\n",
         "pip uninstall -y numpy && \\\n",
-        "pip install {numpy_dep} \\\n",
+        "pip install {numpy_dep} &&\\\n",
+        "pip install {sklearn_dep} \\\n",
         "\"\"\"\n",
         "\n",
         "env.python.user_managed_dependencies = True\n",

how-to-use-azureml/track-and-monitor-experiments/tensorboard/export-run-history-to-tensorboard/export-run-history-to-tensorboard.yml

@@ -6,5 +6,5 @@ dependencies:
   - tensorflow
   - tqdm
   - scipy
-  - sklearn
+  - scikit-learn
   - setuptools>=41.0.0

how-to-use-azureml/work-with-data/datasets-tutorial/pipeline-with-datasets/pipeline-for-image-classification.ipynb

@@ -277,7 +277,7 @@
         "  - azureml-dataset-runtime\n",
         "  - keras==2.6\n",
         "  - tensorflow-gpu==2.6\n",
-        "  - numpy\n",
+        "  - numpy==1.23\n",
         "  - scikit-learn\n",
         "  - pandas\n",
         "  - matplotlib\n",

tutorials/compute-instance-quickstarts/quickstart-azureml-in-10mins/quickstart-azureml-in-10mins.yml

@@ -2,7 +2,7 @@ name: quickstart-azureml-in-10mins
 dependencies:
 - pip:
   - azureml-sdk
-  - sklearn
+  - scikit-learn
   - numpy
   - matplotlib
   - joblib

tutorials/compute-instance-quickstarts/quickstart-azureml-python-sdk/quickstart-azureml-python-sdk.yml

@@ -2,7 +2,7 @@ name: quickstart-azureml-python-sdk
 dependencies:
 - pip:
   - azureml-sdk
-  - sklearn
+  - scikit-learn
   - numpy
   - matplotlib
   - joblib

tutorials/create-first-ml-experiment/tutorial-1st-experiment-sdk-train.yml

@@ -2,5 +2,5 @@ name: tutorial-1st-experiment-sdk-train
 dependencies:
 - pip:
   - azureml-sdk
-  - sklearn
+  - scikit-learn
   - azureml-opendatasets

tutorials/image-classification-mnist-data/img-classification-part1-training.ipynb

@@ -431,7 +431,7 @@
         "\n",
         "# to install required packages\n",
         "env = Environment('tutorial-env')\n",
-        "cd = CondaDependencies.create(pip_packages=['azureml-dataset-runtime[pandas,fuse]', 'azureml-defaults'], conda_packages = ['scikit-learn==0.22.1'])\n",
+        "cd = CondaDependencies.create(pip_packages=['azureml-dataset-runtime[pandas,fuse]', 'azureml-defaults'], conda_packages = ['scikit-learn==0.22.1', 'numpy==1.23'])\n",
         "\n",
         "env.python.conda_dependencies = cd\n",
         "\n",

tutorials/image-classification-mnist-data/img-classification-part1-training.yml

@@ -4,7 +4,7 @@ dependencies:
   - azureml-sdk
   - azureml-widgets
   - matplotlib
-  - sklearn
+  - scikit-learn
   - pandas
   - azureml-opendatasets
   - azureml-widgets

tutorials/image-classification-mnist-data/img-classification-part2-deploy.yml

@@ -3,6 +3,6 @@ dependencies:
 - pip:
   - azureml-sdk
   - matplotlib
-  - sklearn
+  - scikit-learn
   - pandas
   - azureml-opendatasets

tutorials/image-classification-mnist-data/img-classification-part3-deploy-encrypted.ipynb

@@ -82,7 +82,7 @@
         "\n",
         "# to install required packages\n",
         "env = Environment('tutorial-encryption-env')\n",
-        "cd = CondaDependencies.create(pip_packages=['azureml-dataset-runtime[pandas,fuse]', 'azureml-defaults', 'azure-storage-blob', 'encrypted-inference==0.9'], conda_packages = ['scikit-learn==0.22.1'])\n",
+        "cd = CondaDependencies.create(pip_packages=['azureml-dataset-runtime[pandas,fuse]', 'azureml-defaults', 'azure-storage-blob', 'encrypted-inference==0.9'], conda_packages = ['scikit-learn==0.22.1', 'numpy==1.23'])\n",
         "\n",
         "env.python.conda_dependencies = cd\n",
         "\n",

tutorials/image-classification-mnist-data/img-classification-part3-deploy-encrypted.yml

@@ -3,7 +3,7 @@ dependencies:
 - pip:
   - azureml-sdk
   - matplotlib
-  - sklearn
+  - scikit-learn
   - pandas
   - azureml-opendatasets
   - encrypted-inference==0.9