From 6a38f4bec3cc33103d625264a461725510761502 Mon Sep 17 00:00:00 2001 From: amlrelsa-ms Date: Tue, 9 Aug 2022 21:50:34 +0000 Subject: [PATCH] update samples from Release-153 as a part of SDK release --- .../train-hyperparameter-tune-deploy-with-chainer.ipynb | 2 +- .../train-hyperparameter-tune-deploy-with-pytorch.ipynb | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/how-to-use-azureml/ml-frameworks/chainer/train-hyperparameter-tune-deploy-with-chainer/train-hyperparameter-tune-deploy-with-chainer.ipynb b/how-to-use-azureml/ml-frameworks/chainer/train-hyperparameter-tune-deploy-with-chainer/train-hyperparameter-tune-deploy-with-chainer.ipynb index 835d37e4..433c5396 100644 --- a/how-to-use-azureml/ml-frameworks/chainer/train-hyperparameter-tune-deploy-with-chainer/train-hyperparameter-tune-deploy-with-chainer.ipynb +++ b/how-to-use-azureml/ml-frameworks/chainer/train-hyperparameter-tune-deploy-with-chainer/train-hyperparameter-tune-deploy-with-chainer.ipynb @@ -554,7 +554,7 @@ "cd = CondaDependencies.create()\n", "cd.add_conda_package('numpy')\n", "cd.add_pip_package('chainer==5.1.0')\n", - "cd.add_pip_package(\"azureml-defaults\")\n", + "cd.add_pip_package(\"azureml-defaults==1.43.0\")\n", "cd.add_pip_package(\"azureml-opendatasets\")\n", "cd.save_to_file(base_directory='./', conda_file_path='myenv.yml')\n", "\n", diff --git a/how-to-use-azureml/ml-frameworks/pytorch/train-hyperparameter-tune-deploy-with-pytorch/train-hyperparameter-tune-deploy-with-pytorch.ipynb b/how-to-use-azureml/ml-frameworks/pytorch/train-hyperparameter-tune-deploy-with-pytorch/train-hyperparameter-tune-deploy-with-pytorch.ipynb index 99e21ff6..785b2dd0 100644 --- a/how-to-use-azureml/ml-frameworks/pytorch/train-hyperparameter-tune-deploy-with-pytorch/train-hyperparameter-tune-deploy-with-pytorch.ipynb +++ b/how-to-use-azureml/ml-frameworks/pytorch/train-hyperparameter-tune-deploy-with-pytorch/train-hyperparameter-tune-deploy-with-pytorch.ipynb @@ -264,7 +264,7 @@ "- python=3.6.2\n", "- pip=21.3.1\n", "- pip:\n", - " - azureml-defaults\n", + " - azureml-defaults==1.43.0\n", " - torch==1.6.0\n", " - torchvision==0.7.0\n", " - future==0.17.1\n", @@ -539,7 +539,7 @@ "metadata": {}, "source": [ "## Deploy model as web service\n", - "Once you have your trained model, you can deploy the model on Azure. In this tutorial, we will deploy the model as a web service in [Azure Container Instances](https://docs.microsoft.com/en-us/azure/container-instances/) (ACI). For more information on deploying models using Azure ML, refer [here](https://docs.microsoft.com/azure/machine-learning/service/how-to-deploy-and-where)." + "Once you have your trained model, you can deploy the model on Azure. In this tutorial, we will deploy the model as a web service in [Azure Container Instances](https://docs.microsoft.com/en-us/azure/container-instances/) (ACI). For more information on deploying models using Azure ML, refer [here](https://docs.microsoft.com/en-us/azure/machine-learning/v1/how-to-deploy-and-where)." ] }, {