Azure · jeff-shepherd · May 16, 2024 · Apr 29, 2024
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 1.55.0 of the Azure ML SDK\")\n",
+        "print(\"This notebook was created using version 1.56.0 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/README.md b/how-to-use-azureml/README.md
@@ -9,7 +9,6 @@ As a pre-requisite, run the [configuration Notebook](../configuration.ipynb) not
 * [train-on-amlcompute](./training/train-on-amlcompute): Use a 1-n node Azure ML managed compute cluster for remote runs on Azure CPU or GPU infrastructure.
 * [train-on-remote-vm](./training/train-on-remote-vm): Use Data Science Virtual Machine as a target for remote runs.
 * [logging-api](./track-and-monitor-experiments/logging-api): Learn about the details of logging metrics to run history.
-* [production-deploy-to-aks](./deployment/production-deploy-to-aks) Deploy a model to production at scale on Azure Kubernetes Service.
 * [enable-app-insights-in-production-service](./deployment/enable-app-insights-in-production-service) Learn how to use App Insights with production web service.
 
 Find quickstarts, end-to-end tutorials, and how-tos on the [official documentation site for Azure Machine Learning service](https://docs.microsoft.com/en-us/azure/machine-learning/service/).
diff --git a/how-to-use-azureml/automated-machine-learning/automl_env.yml b/how-to-use-azureml/automated-machine-learning/automl_env.yml
@@ -7,19 +7,21 @@ dependencies:
   # The python interpreter version.
   # Azure ML only supports 3.8 and later.
 - pip==22.3.1
-- python>=3.9,<3.10
+- python>=3.10,<3.11
 - holidays==0.29
 - scipy==1.10.1
 - tqdm==4.66.1
 
 - pip:
   # Required packages for AzureML execution, history, and data preparation.
-  - azureml-widgets~=1.55.0
-  - azureml-defaults~=1.55.0
-  - -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.55.0/validated_win32_requirements.txt [--no-deps]
+  - azureml-widgets~=1.56.0
+  - azureml-defaults~=1.56.0
+  - -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.56.0/validated_win32_requirements.txt [--no-deps]
   - matplotlib==3.7.1
-  - xgboost==1.3.3
+  - xgboost==1.5.2
   - prophet==1.1.4
   - pandas==1.3.5
   - cmdstanpy==1.1.0
   - setuptools-git==1.2
+  - spacy==3.4.4
+  - https://aka.ms/automl-resources/packages/en_core_web_sm-3.4.1.tar.gz
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
@@ -7,24 +7,24 @@ dependencies:
   # The python interpreter version.
   # Azure ML only supports 3.7 and later.
 - pip==22.3.1
-- python>=3.9,<3.10
+- python>=3.10,<3.11
 - matplotlib==3.7.1
 - numpy>=1.21.6,<=1.23.5
 - urllib3==1.26.7
 - scipy==1.10.1
-- scikit-learn=1.1.3
-- py-xgboost<=1.3.3
+- scikit-learn==1.1.3
 - holidays==0.29
 - pytorch::pytorch=1.11.0
 - cudatoolkit=10.1.243
 - notebook
 
 - pip:
   # Required packages for AzureML execution, history, and data preparation.
-  - azureml-widgets~=1.55.0
-  - azureml-defaults~=1.55.0
+  - azureml-widgets~=1.56.0
+  - azureml-defaults~=1.56.0
   - pytorch-transformers==1.0.0
-  - spacy==2.3.9
+  - spacy==3.4.4
+  - xgboost==1.5.2
   - prophet==1.1.4
-  - https://aka.ms/automl-resources/packages/en_core_web_sm-2.3.1.tar.gz
-  - -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.55.0/validated_linux_requirements.txt [--no-deps]
+  - https://aka.ms/automl-resources/packages/en_core_web_sm-3.4.1.tar.gz
+  - -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.56.0/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
@@ -7,20 +7,20 @@ dependencies:
   # The python interpreter version.
   # Currently Azure ML only supports 3.7 and later.
 - pip==22.3.1
-- python>=3.9,<3.10
+- python>=3.10,<3.11
 - numpy>=1.21.6,<=1.23.5
 - scipy==1.10.1
 - scikit-learn==1.1.3
 - holidays==0.29
 
 - pip:
   # Required packages for AzureML execution, history, and data preparation.
-  - azureml-widgets~=1.55.0
-  - azureml-defaults~=1.55.0
+  - azureml-widgets~=1.56.0
+  - azureml-defaults~=1.56.0
   - pytorch-transformers==1.0.0
   - prophet==1.1.4
-  - xgboost==1.3.3
-  - spacy==2.3.9
+  - xgboost==1.5.2
+  - spacy==3.4.4
   - matplotlib==3.7.1
-  - https://aka.ms/automl-resources/packages/en_core_web_sm-2.3.1.tar.gz
-  - -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.55.0/validated_darwin_requirements.txt [--no-deps]
+  - https://aka.ms/automl-resources/packages/en_core_web_sm-3.4.1.tar.gz
+  - -r https://automlsdkdataresources.blob.core.windows.net/validated-requirements/1.56.0/validated_darwin_requirements.txt [--no-deps]
diff --git a/...cation-bank-marketing-all-features/auto-ml-classification-bank-marketing-all-features.yml b/...cation-bank-marketing-all-features/auto-ml-classification-bank-marketing-all-features.yml
diff --git a/...ne-learning/classification-credit-card-fraud/auto-ml-classification-credit-card-fraud.yml b/...ne-learning/classification-credit-card-fraud/auto-ml-classification-credit-card-fraud.yml
diff --git a/...zureml/automated-machine-learning/continuous-retraining/auto-ml-continuous-retraining.yml b/...zureml/automated-machine-learning/continuous-retraining/auto-ml-continuous-retraining.yml
diff --git a/how-to-use-azureml/automated-machine-learning/experimental/README.md b/how-to-use-azureml/automated-machine-learning/experimental/README.md
@@ -9,7 +9,7 @@ To run these notebook on your own notebook server, use these installation instru
 The instructions below will install everything you need and then start a Jupyter notebook.
 If you would like to use a lighter-weight version of the client that does not install all of the machine learning libraries locally, you can leverage the [experimental notebooks.](experimental/README.md)
 
-### 1. Install mini-conda from [here](https://conda.io/miniconda.html), choose 64-bit Python 3.7 or higher.
+### 1. Install mini-conda from [here](https://conda.io/miniconda.html), choose 64-bit Python 3.8 or higher.
 - **Note**: if you already have conda installed, you can keep using it but it should be version 4.4.10 or later (as shown by: conda -V).  If you have a previous version installed, you can update it using the command: conda update conda.
 There's no need to install mini-conda specifically.
 

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 1.55.0 of the Azure ML SDK\")\n",
+        "print(\"This notebook was created using version 1.56.0 of the Azure ML SDK\")\n",
         "print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
       ]
     },
@@ -148,7 +148,7 @@
         "from azureml.core.compute_target import ComputeTargetException\n",
         "\n",
         "# Choose a name for your CPU cluster\n",
-        "cpu_cluster_name = \"cpu-cluster\"\n",
+        "cpu_cluster_name = \"cpu-codegen\"\n",
         "\n",
         "# Verify that cluster does not exist already\n",
         "try:\n",

diff --git a/...machine-learning/experimental/autofeaturization-codegen/codegen-for-autofeaturization.yml b/...machine-learning/experimental/autofeaturization-codegen/codegen-for-autofeaturization.yml
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 1.55.0 of the Azure ML SDK\")\n",
+        "print(\"This notebook was created using version 1.56.0 of the Azure ML SDK\")\n",
         "print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
       ]
     },

diff --git a/...ofeaturization-custom-model-training/custom-model-training-from-autofeaturization-run.yml b/...ofeaturization-custom-model-training/custom-model-training-from-autofeaturization-run.yml
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 1.55.0 of the Azure ML SDK\")\n",
+        "print(\"This notebook was created using version 1.56.0 of the Azure ML SDK\")\n",
         "print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
       ]
     },

diff --git a/...redit-card-fraud-local-managed/auto-ml-classification-credit-card-fraud-local-managed.yml b/...redit-card-fraud-local-managed/auto-ml-classification-credit-card-fraud-local-managed.yml
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 1.55.0 of the Azure ML SDK\")\n",
+        "print(\"This notebook was created using version 1.56.0 of the Azure ML SDK\")\n",
         "print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
       ]
     },

diff --git a/...d-machine-learning/experimental/regression-model-proxy/auto-ml-regression-model-proxy.yml b/...d-machine-learning/experimental/regression-model-proxy/auto-ml-regression-model-proxy.yml
diff --git a/...ne-learning/forecasting-backtest-many-models/auto-ml-forecasting-backtest-many-models.yml b/...ne-learning/forecasting-backtest-many-models/auto-ml-forecasting-backtest-many-models.yml
diff --git a/...-learning/forecasting-backtest-single-model/auto-ml-forecasting-backtest-single-model.yml b/...-learning/forecasting-backtest-single-model/auto-ml-forecasting-backtest-single-model.yml
diff --git a/...reml/automated-machine-learning/forecasting-bike-share/auto-ml-forecasting-bike-share.yml b/...reml/automated-machine-learning/forecasting-bike-share/auto-ml-forecasting-bike-share.yml
diff --git a/...utomated-machine-learning/forecasting-energy-demand/auto-ml-forecasting-energy-demand.yml b/...utomated-machine-learning/forecasting-energy-demand/auto-ml-forecasting-energy-demand.yml
diff --git a/...automated-machine-learning/forecasting-forecast-function/auto-ml-forecasting-function.yml b/...automated-machine-learning/forecasting-forecast-function/auto-ml-forecasting-function.yml
diff --git a/...reml/automated-machine-learning/forecasting-github-dau/auto-ml-forecasting-github-dau.yml b/...reml/automated-machine-learning/forecasting-github-dau/auto-ml-forecasting-github-dau.yml
diff --git a/...rning/forecasting-hierarchical-timeseries/auto-ml-forecasting-hierarchical-timeseries.yml b/...rning/forecasting-hierarchical-timeseries/auto-ml-forecasting-hierarchical-timeseries.yml
diff --git a/...ml/automated-machine-learning/forecasting-many-models/auto-ml-forecasting-many-models.yml b/...ml/automated-machine-learning/forecasting-many-models/auto-ml-forecasting-many-models.yml
diff --git a/...achine-learning/forecasting-orange-juice-sales/auto-ml-forecasting-orange-juice-sales.yml b/...achine-learning/forecasting-orange-juice-sales/auto-ml-forecasting-orange-juice-sales.yml
diff --git a/...zureml/automated-machine-learning/forecasting-pipelines/auto-ml-forecasting-pipelines.yml b/...zureml/automated-machine-learning/forecasting-pipelines/auto-ml-forecasting-pipelines.yml
diff --git a/...ecasting-recipes-univariate/auto-ml-forecasting-univariate-recipe-experiment-settings.yml b/...ecasting-recipes-univariate/auto-ml-forecasting-univariate-recipe-experiment-settings.yml
diff --git a/...g/forecasting-recipes-univariate/auto-ml-forecasting-univariate-recipe-run-experiment.yml b/...g/forecasting-recipes-univariate/auto-ml-forecasting-univariate-recipe-run-experiment.yml