Azure · harneetvirk · Feb 14, 2023 · Feb 14, 2023
diff --git a/configuration.ipynb b/configuration.ipynb
@@ -103,7 +103,7 @@
       "source": [
         "import azureml.core\n",
         "\n",
-        "print(\"This notebook was created using version 1.48.0 of the Azure ML SDK\")\n",
+        "print(\"This notebook was created using version 1.49.0 of the Azure ML SDK\")\n",
         "print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
       ]
     },

diff --git a/contrib/fairness/fairlearn-azureml-mitigation.yml b/contrib/fairness/fairlearn-azureml-mitigation.yml
@@ -6,7 +6,8 @@ dependencies:
   - fairlearn>=0.6.2
   - joblib
   - liac-arff
-  - raiwidgets~=0.23.0
+  - raiwidgets~=0.24.0
   - itsdangerous==2.0.1
   - markupsafe<2.1.0
   - protobuf==3.20.0
+  - numpy<1.24.0
diff --git a/contrib/fairness/upload-fairness-dashboard.yml b/contrib/fairness/upload-fairness-dashboard.yml
@@ -6,7 +6,8 @@ dependencies:
   - fairlearn>=0.6.2
   - joblib
   - liac-arff
-  - raiwidgets~=0.23.0
+  - raiwidgets~=0.24.0
   - itsdangerous==2.0.1
   - markupsafe<2.1.0
   - protobuf==3.20.0
+  - numpy<1.24.0
diff --git a/how-to-use-azureml/automated-machine-learning/automl_env.yml b/how-to-use-azureml/automated-machine-learning/automl_env.yml
@@ -8,13 +8,17 @@ dependencies:
   # Azure ML only supports 3.7.0 and later.
 - pip==22.3.1
 - python>=3.7,<3.9
+- conda-forge::fbprophet==0.7.1
+- pandas==1.1.5
+- scipy==1.5.3
+- Cython==0.29.14
 
 - pip:
   # Required packages for AzureML execution, history, and data preparation.
-  - azureml-widgets~=1.48.0
-  - azureml-defaults~=1.48.0
-  - -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.48.0/validated_win32_requirements.txt [--no-deps]
+  - azureml-widgets~=1.49.0
+  - azureml-defaults~=1.49.0
+  - -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.49.0/validated_win32_requirements.txt [--no-deps]
   - matplotlib==3.6.2
   - xgboost==1.3.3
-  - arch==4.14
-  - mlflow-skinny==1.30.0
+  - cmdstanpy==0.9.5
+  - setuptools-git==1.2
diff --git a/how-to-use-azureml/automated-machine-learning/automl_env_linux.yml b/how-to-use-azureml/automated-machine-learning/automl_env_linux.yml
@@ -6,7 +6,7 @@ channels:
 dependencies:
   # The python interpreter version.
   # Azure ML only supports 3.7 and later.
-- pip==20.1.1
+- pip==22.3.1
 - python>=3.7,<3.9
 - matplotlib==3.2.1
 - numpy>=1.21.6,<=1.22.3
@@ -20,16 +20,13 @@ dependencies:
 - pytorch::pytorch=1.11.0
 - cudatoolkit=10.1.243
 - notebook
-- jinja2<=2.11.2
-- markupsafe<2.1.0
 
 - pip:
   # Required packages for AzureML execution, history, and data preparation.
-  - azureml-widgets~=1.48.0
-  - azureml-defaults~=1.48.0
+  - azureml-widgets~=1.49.0
+  - azureml-defaults~=1.49.0
   - pytorch-transformers==1.0.0
   - spacy==2.2.4
   - pystan==2.19.1.1
   - https://aka.ms/automl-resources/packages/en_core_web_sm-2.1.0.tar.gz
-  - -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.48.0/validated_linux_requirements.txt [--no-deps]
-  - arch==4.14
+  - -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.49.0/validated_linux_requirements.txt [--no-deps]
diff --git a/how-to-use-azureml/automated-machine-learning/automl_env_mac.yml b/how-to-use-azureml/automated-machine-learning/automl_env_mac.yml
@@ -6,7 +6,7 @@ channels:
 dependencies:
   # The python interpreter version.
   # Currently Azure ML only supports 3.7 and later.
-- pip==20.1.1
+- pip==22.3.1
 - python>=3.7,<3.9
 - matplotlib==3.2.1
 - numpy>=1.21.6,<=1.22.3
@@ -20,16 +20,13 @@ dependencies:
 - pytorch::pytorch=1.11.0
 - cudatoolkit=9.0
 - notebook
-- jinja2<=2.11.2
-- markupsafe<2.1.0
 
 - pip:
   # Required packages for AzureML execution, history, and data preparation.
-  - azureml-widgets~=1.48.0
-  - azureml-defaults~=1.48.0
+  - azureml-widgets~=1.49.0
+  - azureml-defaults~=1.49.0
   - pytorch-transformers==1.0.0
   - spacy==2.2.4
   - pystan==2.19.1.1
   - https://aka.ms/automl-resources/packages/en_core_web_sm-2.1.0.tar.gz
-  - -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.48.0/validated_darwin_requirements.txt [--no-deps]
-  - arch==4.14
+  - -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.49.0/validated_darwin_requirements.txt [--no-deps]
diff --git a/...chine-learning/experimental/autofeaturization-codegen/codegen-for-autofeaturization.ipynb b/...chine-learning/experimental/autofeaturization-codegen/codegen-for-autofeaturization.ipynb
@@ -97,7 +97,7 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "print(\"This notebook was created using version 1.48.0 of the Azure ML SDK\")\n",
+        "print(\"This notebook was created using version 1.49.0 of the Azure ML SDK\")\n",
         "print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
       ]
     },

diff --git a/...eaturization-custom-model-training/custom-model-training-from-autofeaturization-run.ipynb b/...eaturization-custom-model-training/custom-model-training-from-autofeaturization-run.ipynb
@@ -97,7 +97,7 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "print(\"This notebook was created using version 1.48.0 of the Azure ML SDK\")\n",
+        "print(\"This notebook was created using version 1.49.0 of the Azure ML SDK\")\n",
         "print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
       ]
     },

diff --git a/how-to-use-azureml/automated-machine-learning/experimental/automl_thin_client_env.yml b/how-to-use-azureml/automated-machine-learning/experimental/automl_thin_client_env.yml
@@ -3,7 +3,7 @@ dependencies:
   # The python interpreter version.
   # Currently Azure ML only supports 3.7.0 and later.
 - pip<=22.3.1
-- python>=3.7.0,<3.10
+- python>=3.7.0,<3.11
 
 - pip:
   # Required packages for AzureML execution, history, and data preparation.

diff --git a/how-to-use-azureml/automated-machine-learning/experimental/automl_thin_client_env_mac.yml b/how-to-use-azureml/automated-machine-learning/experimental/automl_thin_client_env_mac.yml
@@ -4,10 +4,10 @@ channels:
   - main
 dependencies:
   # The python interpreter version.
-  # Currently Azure ML only supports 3.6.0 and later.
+  # Currently Azure ML only supports 3.7.0 and later.
 - pip<=20.2.4
 - nomkl
-- python>=3.6.0,<3.10
+- python>=3.7.0,<3.11
 - urllib3==1.26.7
 - PyJWT < 2.0.0
 - numpy>=1.21.6,<=1.22.3

diff --git a/...dit-card-fraud-local-managed/auto-ml-classification-credit-card-fraud-local-managed.ipynb b/...dit-card-fraud-local-managed/auto-ml-classification-credit-card-fraud-local-managed.ipynb
@@ -92,7 +92,7 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "print(\"This notebook was created using version 1.48.0 of the Azure ML SDK\")\n",
+        "print(\"This notebook was created using version 1.49.0 of the Azure ML SDK\")\n",
         "print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
       ]
     },

diff --git a/...machine-learning/experimental/regression-model-proxy/auto-ml-regression-model-proxy.ipynb b/...machine-learning/experimental/regression-model-proxy/auto-ml-regression-model-proxy.ipynb
@@ -91,7 +91,7 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "print(\"This notebook was created using version 1.48.0 of the Azure ML SDK\")\n",
+        "print(\"This notebook was created using version 1.49.0 of the Azure ML SDK\")\n",
         "print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
       ]
     },

diff --git a/...lain-model/azure-integration/gpu-explanation/train-explain-model-gpu-tree-explainer.ipynb b/...lain-model/azure-integration/gpu-explanation/train-explain-model-gpu-tree-explainer.ipynb
@@ -106,7 +106,7 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "print(\"This notebook was created using version 1.48.0 of the Azure ML SDK\")\n",
+        "print(\"This notebook was created using version 1.49.0 of the Azure ML SDK\")\n",
         "print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
       ]
     },
@@ -298,8 +298,9 @@
         "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 {sklearn_dep} \\\n",
+        "pip install {numpy_dep} && \\\n",
+        "pip install {sklearn_dep} && \\\n",
+        "pip install chardet \\\n",
         "\"\"\"\n",
         "\n",
         "env.python.user_managed_dependencies = True\n",

diff --git a/...xplain-model/azure-integration/gpu-explanation/train-explain-model-gpu-tree-explainer.yml b/...xplain-model/azure-integration/gpu-explanation/train-explain-model-gpu-tree-explainer.yml
@@ -10,7 +10,7 @@ dependencies:
   - ipython
   - matplotlib
   - ipywidgets
-  - raiwidgets~=0.23.0
+  - raiwidgets~=0.24.0
   - itsdangerous==2.0.1
   - markupsafe<2.1.0
   - scipy>=1.5.3

diff --git a/...zureml/explain-model/azure-integration/remote-explanation/explain-model-on-amlcompute.yml b/...zureml/explain-model/azure-integration/remote-explanation/explain-model-on-amlcompute.yml
@@ -10,7 +10,7 @@ dependencies:
   - matplotlib
   - azureml-dataset-runtime
   - ipywidgets
-  - raiwidgets~=0.23.0
+  - raiwidgets~=0.24.0
   - itsdangerous==2.0.1
   - markupsafe<2.1.0
   - scipy>=1.5.3

diff --git a/...ml/explain-model/azure-integration/run-history/save-retrieve-explanations-run-history.yml b/...ml/explain-model/azure-integration/run-history/save-retrieve-explanations-run-history.yml
@@ -9,7 +9,7 @@ dependencies:
   - ipython
   - matplotlib
   - ipywidgets
-  - raiwidgets~=0.23.0
+  - raiwidgets~=0.24.0
   - packaging>=20.9
   - itsdangerous==2.0.1
   - markupsafe<2.1.0

diff --git a/...l/explain-model/azure-integration/scoring-time/train-explain-model-locally-and-deploy.yml b/...l/explain-model/azure-integration/scoring-time/train-explain-model-locally-and-deploy.yml
@@ -9,7 +9,7 @@ dependencies:
   - ipython
   - matplotlib
   - ipywidgets
-  - raiwidgets~=0.23.0
+  - raiwidgets~=0.24.0
   - packaging>=20.9
   - itsdangerous==2.0.1
   - markupsafe<2.1.0

diff --git a/...ain-model/azure-integration/scoring-time/train-explain-model-on-amlcompute-and-deploy.yml b/...ain-model/azure-integration/scoring-time/train-explain-model-on-amlcompute-and-deploy.yml
@@ -11,7 +11,7 @@ dependencies:
   - azureml-dataset-runtime
   - azureml-core
   - ipywidgets
-  - raiwidgets~=0.23.0
+  - raiwidgets~=0.24.0
   - itsdangerous==2.0.1
   - markupsafe<2.1.0
   - scipy>=1.5.3

diff --git a/...earning-pipelines/intro-to-pipelines/aml-pipelines-use-databricks-as-compute-target.ipynb b/...earning-pipelines/intro-to-pipelines/aml-pipelines-use-databricks-as-compute-target.ipynb
@@ -330,7 +330,7 @@
         "- **inputs:** List of input connections for data consumed by this step. Fetch this inside the notebook using dbutils.widgets.get(\"input\")\n",
         "- **outputs:** List of output port definitions for outputs produced by this step. Fetch this inside the notebook using dbutils.widgets.get(\"output\")\n",
         "- **existing_cluster_id:** Cluster ID of an existing Interactive cluster on the Databricks workspace. If you are providing this, do not provide any of the parameters below that are used to create a new cluster such as spark_version, node_type, etc.\n",
-        "- **spark_version:** Version of spark for the databricks run cluster. You can refer to [DataBricks runtime version](https://learn.microsoft.com/azure/databricks/dev-tools/api/#--runtime-version-strings) to specify the spark version. default value: 4.0.x-scala2.11\n",
+        "- **spark_version:** Version of spark for the databricks run cluster. You can refer to [DataBricks runtime version](https://learn.microsoft.com/azure/databricks/dev-tools/api/#--runtime-version-strings) to specify the spark version. default value: 10.4.x-scala2.12\n",
         "- **node_type:** Azure vm node types for the databricks run cluster. default value: Standard_D3_v2\n",
         "- **num_workers:** Specifies a static number of workers for the databricks run cluster\n",
         "- **min_workers:** Specifies a min number of workers to use for auto-scaling the databricks run cluster\n",

diff --git a/...zureml/machine-learning-pipelines/parallel-run/tabular-dataset-partition-per-column.ipynb b/...zureml/machine-learning-pipelines/parallel-run/tabular-dataset-partition-per-column.ipynb
@@ -86,7 +86,7 @@
         "import requests\n",
         "\n",
         "oj_sales_path = \"./oj.csv\"\n",
-        "r = requests.get(\"http://www.cs.unitn.it/~taufer/Data/oj.csv\")\n",
+        "r = requests.get(\"https://raw.githubusercontent.com/Azure/azureml-examples/main/sdk/python/jobs/automl-standalone-jobs/automl-forecasting-orange-juice-sales/data/dominicks_OJ.csv\")\n",
         "open(oj_sales_path, \"wb\").write(r.content)"
       ]
     },
@@ -140,7 +140,7 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "partitioned_dataset = dataset.partition_by(partition_keys=['store', 'brand'], target=(datastore, \"partition_by_key_res\"), name=\"partitioned_oj_data\")\n",
+        "partitioned_dataset = dataset.partition_by(partition_keys=['Store', 'Brand'], target=(datastore, \"partition_by_key_res\"), name=\"partitioned_oj_data\")\n",
         "partitioned_dataset.partition_keys"
       ]
     },
@@ -274,7 +274,7 @@
         "parallel_run_config = ParallelRunConfig(\n",
         "    source_directory=scripts_folder,\n",
         "    entry_script=script_file,  # the user script to run against each input\n",
-        "    partition_keys=['store', 'brand'],\n",
+        "    partition_keys=['Store', 'Brand'],\n",
         "    error_threshold=5,\n",
         "    output_action='append_row',\n",
         "    append_row_file_name=\"revenue_outputs.txt\",\n",
@@ -362,8 +362,8 @@
         "result_file = os.path.join(target_dir, batch_output.path_on_datastore, parallel_run_config.append_row_file_name)\n",
         "\n",
         "df = pd.read_csv(result_file, delimiter=\" \", header=None)\n",
+        "df.columns=[\"WeekStarting\", \"Quantity\", \"logQuantity\", \"Advert\", \"Price\", \"Age60\", \"COLLEGE\", \"INCOME\", \"Hincome150\", \"Large HH\", \"Minorities\", \"WorkingWoman\", \"SSTRDIST\", \"SSTRVOL\", \"CPDIST5\", \"CPWVOL5\", \"Store\", \"Brand\", \"total_income\"]\n",
         "\n",
-        "df.columns = [\"week\", \"logmove\", \"feat\", \"price\", \"AGE60\", \"EDUC\", \"ETHNIC\", \"INCOME\", \"HHLARGE\", \"WORKWOM\", \"HVAL150\", \"SSTRDIST\", \"SSTRVOL\", \"CPDIST5\", \"CPWVOL5\", \"store\", \"brand\", \"total_income\"]\n",
         "print(\"Prediction has \", df.shape[0], \" rows\")\n",
         "df.head(10)"
       ]
@@ -413,7 +413,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.6.9"
+      "version": "3.8.13"
     }
   },
   "nbformat": 4,

diff --git a/how-to-use-azureml/reinforcement-learning/README.md b/how-to-use-azureml/reinforcement-learning/README.md
@@ -36,8 +36,6 @@ Using these samples, you will learn how to do the following.
 | [cartpole_ci.ipynb](cartpole-on-compute-instance/cartpole_ci.ipynb)  | Notebook to train a Cartpole playing agent on an Azure Machine Learning Compute Instance |
 | [cartpole_sc.ipynb](cartpole-on-single-compute/cartpole_sc.ipynb)  | Notebook to train a Cartpole playing agent on an Azure Machine Learning Compute Cluster (single node) |
 | [pong_rllib.ipynb](atari-on-distributed-compute/pong_rllib.ipynb)   | Notebook for distributed training of Pong agent using RLlib on multiple compute targets |
-| [minecraft.ipynb](minecraft-on-distributed-compute/minecraft.ipynb)   | Notebook to train an agent to navigate through a lava maze in the Minecraft game |
-| [particle.ipynb](multiagent-particle-envs/particle.ipynb)  | Notebook to train policies in a multiagent cooperative navigation scenario based on OpenAI's Particle environments |
 
 ## Prerequisites
 

diff --git a/how-to-use-azureml/reinforcement-learning/multiagent-particle-envs/docker/cpu/Dockerfile b/how-to-use-azureml/reinforcement-learning/multiagent-particle-envs/docker/cpu/Dockerfile