update samples from Release-141 as a part of SDK release

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

@@ -111,7 +111,7 @@
         "    'azureml-defaults',\n",
         "    'inference-schema[numpy-support]',\n",
         "    'numpy',\n",
-        "    'scikit-learn==0.19.1',\n",
+        "    'scikit-learn==0.22.1',\n",
         "    'scipy'\n",
         "])"
       ]

how-to-use-azureml/deployment/enable-app-insights-in-production-service/enable-app-insights-in-production-service.ipynb

@@ -172,7 +172,7 @@
       "source": [
         "from azureml.core.conda_dependencies import CondaDependencies\n",
         "\n",
-        "myenv = CondaDependencies.create(conda_packages=['numpy','scikit-learn==0.20.3'],\n",
+        "myenv = CondaDependencies.create(conda_packages=['numpy==1.19.5','scikit-learn==0.22.1'],\n",
         "                                 pip_packages=['azureml-defaults'])\n",
         "\n",
         "with open(\"myenv.yml\",\"w\") as f:\n",

how-to-use-azureml/deployment/production-deploy-to-aks-gpu/production-deploy-to-aks-gpu.ipynb

@@ -240,8 +240,9 @@
         "# Please see [Azure ML Containers repository](https://github.com/Azure/AzureML-Containers#featured-tags)\n",
         "# for open-sourced GPU base images.\n",
         "env.docker.base_image = DEFAULT_GPU_IMAGE\n",
-        "env.python.conda_dependencies = CondaDependencies.create(conda_packages=['tensorflow-gpu==1.12.0','numpy'],\n",
-        "                                 pip_packages=['azureml-contrib-services', 'azureml-defaults'])\n",
+        "env.python.conda_dependencies = CondaDependencies.create(python_version=\"3.6.2\", \n",
+        "                                    conda_packages=['tensorflow-gpu==1.12.0','numpy'],\n",
+        "                                    pip_packages=['azureml-contrib-services', 'azureml-defaults'])\n",
         "\n",
         "inference_config = InferenceConfig(entry_script=\"score.py\", environment=env)\n",
         "aks_config = AksWebservice.deploy_configuration()\n",

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

@@ -109,7 +109,7 @@
         "from azureml.core import Environment\n",
         "from azureml.core.conda_dependencies import CondaDependencies \n",
         "\n",
-        "conda_deps = CondaDependencies.create(conda_packages=['numpy', 'scikit-learn==0.19.1', 'scipy'], pip_packages=['azureml-defaults', 'inference-schema'])\n",
+        "conda_deps = CondaDependencies.create(conda_packages=['numpy', 'scikit-learn==0.22.1', 'scipy'], pip_packages=['azureml-defaults', 'inference-schema'])\n",
         "myenv = Environment(name='myenv')\n",
         "myenv.python.conda_dependencies = conda_deps"
       ]

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

@@ -109,7 +109,7 @@
         "from azureml.core import Environment\n",
         "from azureml.core.conda_dependencies import CondaDependencies \n",
         "\n",
-        "conda_deps = CondaDependencies.create(conda_packages=['numpy','scikit-learn==0.19.1','scipy'], pip_packages=['azureml-defaults', 'inference-schema'])\n",
+        "conda_deps = CondaDependencies.create(conda_packages=['numpy','scikit-learn==0.22.1','scipy'], pip_packages=['azureml-defaults', 'inference-schema'])\n",
         "myenv = Environment(name='myenv')\n",
         "myenv.python.conda_dependencies = conda_deps"
       ]
@@ -295,12 +295,14 @@
         "\n",
         "\n",
         "environment = Environment('my-sklearn-environment')\n",
-        "environment.python.conda_dependencies = CondaDependencies.create(pip_packages=[\n",
+        "environment.python.conda_dependencies = CondaDependencies.create(conda_packages=[\n",
+        "    'pip==20.2.4'],\n",
+        "    pip_packages=[\n",
         "    'azureml-defaults',\n",
         "    'inference-schema[numpy-support]',\n",
         "    'joblib',\n",
         "    'numpy',\n",
-        "    'scikit-learn==0.19.1',\n",
+        "    'scikit-learn==0.22.1',\n",
         "    'scipy'\n",
         "])\n",
         "inference_config = InferenceConfig(entry_script='score.py', environment=environment)\n",

how-to-use-azureml/machine-learning-pipelines/parallel-run/file-dataset-image-inference-mnist.ipynb

@@ -359,7 +359,9 @@
         "from azureml.core import Environment\n",
         "from azureml.core.runconfig import CondaDependencies, DEFAULT_CPU_IMAGE\n",
         "\n",
-        "batch_conda_deps = CondaDependencies.create(pip_packages=[\"tensorflow==1.15.2\", \"pillow\", \n",
+        "batch_conda_deps = CondaDependencies.create(python_version=\"3.7\",\n",
+        "                                            conda_packages=['pip==20.2.4'],\n",
+        "                                            pip_packages=[\"tensorflow==1.15.2\", \"pillow\", \n",
         "                                                          \"azureml-core\", \"azureml-dataset-runtime[fuse]\"])\n",
         "batch_env = Environment(name=\"batch_environment\")\n",
         "batch_env.python.conda_dependencies = batch_conda_deps\n",

how-to-use-azureml/machine-learning-pipelines/parallel-run/tabular-dataset-inference-iris.ipynb

@@ -308,7 +308,9 @@
         "from azureml.core import Environment\n",
         "from azureml.core.runconfig import CondaDependencies\n",
         "\n",
-        "predict_conda_deps = CondaDependencies.create(pip_packages=[\"scikit-learn==0.20.3\",\n",
+        "predict_conda_deps = CondaDependencies.create(python_version=\"3.7\", \n",
+        "                                              conda_packages=['pip==20.2.4'],\n",
+        "                                              pip_packages=[\"scikit-learn==0.20.3\",\n",
         "                                                            \"azureml-core\", \"azureml-dataset-runtime[pandas,fuse]\"])\n",
         "\n",
         "predict_env = Environment(name=\"predict_environment\")\n",

how-to-use-azureml/machine-learning-pipelines/pipeline-style-transfer/pipeline-style-transfer-parallel-run.ipynb

@@ -308,7 +308,7 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "cd = CondaDependencies()\n",
+        "cd = CondaDependencies.create(python_version=\"3.7\", conda_packages=['pip==20.2.4'])\n",
         "\n",
         "cd.add_channel(\"conda-forge\")\n",
         "cd.add_conda_package(\"ffmpeg==4.0.2\")\n",
@@ -401,13 +401,12 @@
         "from azureml.core import Environment\n",
         "from azureml.core.runconfig import DEFAULT_GPU_IMAGE\n",
         "\n",
-        "parallel_cd = CondaDependencies()\n",
+        "parallel_cd = CondaDependencies.create(python_version=\"3.7\", conda_packages=['pip==20.2.4', 'numpy==1.19'])\n",
         "\n",
         "parallel_cd.add_channel(\"pytorch\")\n",
         "parallel_cd.add_conda_package(\"pytorch\")\n",
         "parallel_cd.add_conda_package(\"torchvision\")\n",
         "parallel_cd.add_conda_package(\"pillow<7\") # needed for torchvision==0.4.0\n",
-        "parallel_cd.add_pip_package(\"azureml-core\")\n",
         "\n",
         "styleenvironment = Environment(name=\"styleenvironment\")\n",
         "styleenvironment.python.conda_dependencies=parallel_cd\n",

how-to-use-azureml/ml-frameworks/keras/train-hyperparameter-tune-deploy-with-keras/train-hyperparameter-tune-deploy-with-keras.ipynb

@@ -430,7 +430,7 @@
         "channels:\n",
         "- conda-forge\n",
         "dependencies:\n",
-        "- python=3.6.2\n",
+        "- python=3.7\n",
         "- pip=21.3.1\n",
         "- pip:\n",
         "  - h5py<=2.10.0\n",
@@ -984,7 +984,7 @@
       "source": [
         "from azureml.core.conda_dependencies import CondaDependencies\n",
         "\n",
-        "cd = CondaDependencies.create()\n",
+        "cd = CondaDependencies.create(python_version=\"3.7\")\n",
         "cd.add_tensorflow_conda_package()\n",
         "cd.add_conda_package('h5py<=2.10.0')\n",
         "cd.add_conda_package('keras<=2.3.1')\n",

how-to-use-azureml/ml-frameworks/tensorflow/train-hyperparameter-tune-deploy-with-tensorflow/train-hyperparameter-tune-deploy-with-tensorflow.ipynb

@@ -941,7 +941,7 @@
         "\n",
         "cd = CondaDependencies.create()\n",
         "cd.add_conda_package('numpy')\n",
-        "cd.add_pip_package('tensorflow==2.0.0')\n",
+        "cd.add_pip_package('tensorflow==2.2.0')\n",
         "cd.add_pip_package(\"azureml-defaults\")\n",
         "cd.save_to_file(base_directory='./', conda_file_path='myenv.yml')\n",
         "\n",

how-to-use-azureml/reinforcement-learning/atari-on-distributed-compute/docker/Dockerfile-cpu

@@ -1,5 +1,8 @@
 FROM mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04
 
+USER root
+RUN conda install -c anaconda python=3.7
+
 RUN pip install ray-on-aml==0.1.6
 RUN pip install gym[atari]==0.19.0
 RUN pip install gym[accept-rom-license]==0.19.0
@@ -9,8 +12,6 @@ RUN pip install ray==0.8.7
 RUN pip install ray[rllib,tune,serve]==0.8.7
 RUN pip install tensorflow==1.14.0
 
-USER root
-
 RUN apt-get update
 RUN apt-get install -y jq
 RUN apt-get install -y rsync

how-to-use-azureml/reinforcement-learning/atari-on-distributed-compute/docker/Dockerfile-gpu

@@ -1,4 +1,7 @@
-FROM mcr.microsoft.com/azureml/openmpi4.1.0-cuda11.0.3-cudnn8-ubuntu18.04:20211111.v1
+FROM mcr.microsoft.com/azureml/openmpi4.1.0-cuda11.0.3-cudnn8-ubuntu18.04
+
+USER root
+RUN conda install -c anaconda python=3.7
 
 # CUDA repository key rotation: https://forums.developer.nvidia.com/t/notice-cuda-linux-repository-key-rotation/212771
 RUN apt-key del 7fa2af80

how-to-use-azureml/reinforcement-learning/atari-on-distributed-compute/pong_rllib.ipynb

@@ -93,7 +93,7 @@
       "source": [
         "%matplotlib inline\n",
         "\n",
-        "# Azure Machine Learning core imports\n",
+        "# Azure Machine Learning Core imports\n",
         "import azureml.core\n",
         "\n",
         "# Check core SDK version number\n",

how-to-use-azureml/reinforcement-learning/cartpole-on-compute-instance/cartpole_ci.ipynb

@@ -90,7 +90,7 @@
       "outputs": [],
       "source": [
         "import azureml.core\n",
-        "print(\"Azure Machine Learning SDK Version:\", azureml.core.VERSION)"
+        "print(\"Azure Machine Learning SDK version:\", azureml.core.VERSION)"
       ]
     },
     {

how-to-use-azureml/reinforcement-learning/cartpole-on-compute-instance/files/docker/Dockerfile

@@ -1,5 +1,8 @@
 FROM mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04
 
+USER root
+RUN conda install -c anaconda python=3.7
+
 RUN pip install ray-on-aml==0.1.6
 RUN pip install gym[atari]==0.19.0
 RUN pip install gym[accept-rom-license]==0.19.0
@@ -10,8 +13,6 @@ RUN pip install ray==0.8.7
 RUN pip install ray[rllib,tune,serve]==0.8.7
 RUN pip install tensorflow==1.14.0
 
-USER root
-
 RUN apt-get update
 RUN apt-get install -y jq
 RUN apt-get install -y rsync

how-to-use-azureml/reinforcement-learning/cartpole-on-single-compute/cartpole_sc.ipynb

@@ -91,7 +91,7 @@
       "source": [
         "import azureml.core\n",
         "\n",
-        "print(\"Azure Machine Learning SDK Version:\", azureml.core.VERSION)"
+        "print(\"Azure Machine Learning SDK version:\", azureml.core.VERSION)"
       ]
     },
     {

how-to-use-azureml/reinforcement-learning/multiagent-particle-envs/docker/cpu/Dockerfile

@@ -1,5 +1,7 @@
 FROM akdmsft/particle-cpu
 
+RUN conda install -c anaconda python=3.7
+
 # Install required pip packages
 RUN pip3 install --upgrade pip setuptools && pip3 install --upgrade \
     pandas \

how-to-use-azureml/reinforcement-learning/multiagent-particle-envs/particle.ipynb

@@ -85,7 +85,7 @@
       "outputs": [],
       "source": [
         "import azureml.core\n",
-        "print('Azure Machine Learning SDK Version: ', azureml.core.VERSION)"
+        "print('Azure Machine Learning SDK version: ', azureml.core.VERSION)"
       ]
     },
     {

how-to-use-azureml/training/using-environments/using-environments.ipynb

@@ -160,7 +160,7 @@
         "\n",
         "myenv = Environment(name=\"myenv\")\n",
         "conda_dep = CondaDependencies()\n",
-        "conda_dep.add_conda_package(\"scikit-learn\")"
+        "conda_dep.add_conda_package(\"scikit-learn==0.22.1\")"
       ]
     },
     {
@@ -180,7 +180,7 @@
       },
       "outputs": [],
       "source": [
-        "conda_dep.add_pip_package(\"pillow==5.4.1\")\n",
+        "conda_dep.add_pip_package(\"pillow==6.2.1\")\n",
         "myenv.python.conda_dependencies=conda_dep"
       ]
     },

tutorials/machine-learning-pipelines-advanced/tutorial-pipeline-batch-scoring-classification.ipynb

@@ -305,7 +305,9 @@
         "from azureml.core.conda_dependencies import CondaDependencies\n",
         "from azureml.core.runconfig import DEFAULT_GPU_IMAGE\n",
         "\n",
-        "cd = CondaDependencies.create(pip_packages=[\"tensorflow-gpu==1.15.2\",\n",
+        "cd = CondaDependencies.create(python_version=\"3.7\",\n",
+        "                              conda_packages=['pip==20.2.4'],\n",
+        "                              pip_packages=[\"tensorflow-gpu==1.15.2\",\n",
         "                                            \"azureml-core\", \"azureml-dataset-runtime[fuse]\"])\n",
         "\n",
         "env = Environment(name=\"parallelenv\")\n",