diff --git a/README.md b/README.md index 33d704d1..2add5721 100644 --- a/README.md +++ b/README.md @@ -13,7 +13,7 @@ Read more detailed instructions on [how to set up your environment](./NBSETUP.md ## How to navigate and use the example notebooks? If you are using an Azure Machine Learning Notebook VM, you are all set. Otherwise, you should always run the [Configuration](./configuration.ipynb) notebook first when setting up a notebook library on a new machine or in a new environment. It configures your notebook library to connect to an Azure Machine Learning workspace, and sets up your workspace and compute to be used by many of the other examples. -This [index](./index.md) should assist in navigating the Azure Machine Learning notebook samples and encourage efficient retrieval of topics and content. +This [index](.index.md) should assist in navigating the Azure Machine Learning notebook samples and encourage efficient retrieval of topics and content. If you want to... diff --git a/configuration.ipynb b/configuration.ipynb index 37c99814..cf1e9a12 100644 --- a/configuration.ipynb +++ b/configuration.ipynb @@ -103,7 +103,7 @@ "source": [ "import azureml.core\n", "\n", - "print(\"This notebook was created using version 1.1.0rc1 of the Azure ML SDK\")\n", + "print(\"This notebook was created using version 1.1.1rc0 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/automl_env.yml b/how-to-use-azureml/automated-machine-learning/automl_env.yml index 827999ee..42906d19 100644 --- a/how-to-use-azureml/automated-machine-learning/automl_env.yml +++ b/how-to-use-azureml/automated-machine-learning/automl_env.yml @@ -4,6 +4,7 @@ dependencies: # Currently Azure ML only supports 3.5.2 and later. - pip<=19.3.1 - python>=3.5.2,<3.6.8 +- wheel==0.30.0 - nb_conda - matplotlib==2.1.0 - numpy>=1.16.0,<=1.16.2 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 index 9cdae0b3..fca456e0 100644 --- a/how-to-use-azureml/automated-machine-learning/automl_env_mac.yml +++ b/how-to-use-azureml/automated-machine-learning/automl_env_mac.yml @@ -5,6 +5,7 @@ dependencies: - pip<=19.3.1 - nomkl - python>=3.5.2,<3.6.8 +- wheel==0.30.0 - nb_conda - matplotlib==2.1.0 - numpy>=1.16.0,<=1.16.2 diff --git a/how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/aml-pipelines-with-automated-machine-learning-step.ipynb b/how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/aml-pipelines-with-automated-machine-learning-step.ipynb index 7b1017c6..cb049d7b 100644 --- a/how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/aml-pipelines-with-automated-machine-learning-step.ipynb +++ b/how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/aml-pipelines-with-automated-machine-learning-step.ipynb @@ -76,7 +76,7 @@ "from azureml.core.runconfig import RunConfiguration\n", "from azureml.core.conda_dependencies import CondaDependencies\n", "\n", - "from azureml.pipeline.steps import AutoMLStep\n", + "from azureml.train.automl.runtime import AutoMLStep\n", "\n", "# Check core SDK version number\n", "print(\"SDK version:\", azureml.core.VERSION)" @@ -173,7 +173,12 @@ "source": [ "# create a new RunConfig object\n", "conda_run_config = RunConfiguration(framework=\"python\")\n", - "cd = CondaDependencies.create(pip_packages=['azureml-sdk[automl]'])\n", + "\n", + "conda_run_config.environment.docker.enabled = True\n", + "conda_run_config.environment.docker.base_image = azureml.core.runconfig.DEFAULT_CPU_IMAGE\n", + "\n", + "cd = CondaDependencies.create(pip_packages=['azureml-sdk[automl]'], \n", + " conda_packages=['numpy', 'py-xgboost<=0.80'])\n", "conda_run_config.environment.python.conda_dependencies = cd\n", "\n", "print('run config is ready')" diff --git a/how-to-use-azureml/ml-frameworks/chainer/deployment/train-hyperparameter-tune-deploy-with-chainer/train-hyperparameter-tune-deploy-with-chainer.ipynb b/how-to-use-azureml/ml-frameworks/chainer/deployment/train-hyperparameter-tune-deploy-with-chainer/train-hyperparameter-tune-deploy-with-chainer.ipynb index 3e5a59fc..6d4c30a7 100644 --- a/how-to-use-azureml/ml-frameworks/chainer/deployment/train-hyperparameter-tune-deploy-with-chainer/train-hyperparameter-tune-deploy-with-chainer.ipynb +++ b/how-to-use-azureml/ml-frameworks/chainer/deployment/train-hyperparameter-tune-deploy-with-chainer/train-hyperparameter-tune-deploy-with-chainer.ipynb @@ -673,13 +673,11 @@ "metadata": {}, "outputs": [], "source": [ - "models = ws.models\n", - "for name, model in models.items():\n", - " print(\"Model: {}, ID: {}\".format(name, model.id))\n", + "model = ws.models['chainer-dnn-mnist']\n", + "print(\"Model: {}, ID: {}\".format('chainer-dnn-mnist', model.id))\n", " \n", - "webservices = ws.webservices\n", - "for name, webservice in webservices.items():\n", - " print(\"Webservice: {}, scoring URI: {}\".format(name, webservice.scoring_uri))" + "webservice = ws.webservices['chainer-mnist-1']\n", + "print(\"Webservice: {}, scoring URI: {}\".format('chainer-mnist-1', webservice.scoring_uri))" ] }, { diff --git a/how-to-use-azureml/ml-frameworks/tensorflow/deployment/train-hyperparameter-tune-deploy-with-tensorflow/train-hyperparameter-tune-deploy-with-tensorflow.ipynb b/how-to-use-azureml/ml-frameworks/tensorflow/deployment/train-hyperparameter-tune-deploy-with-tensorflow/train-hyperparameter-tune-deploy-with-tensorflow.ipynb index aa6b6b4a..f35b534c 100644 --- a/how-to-use-azureml/ml-frameworks/tensorflow/deployment/train-hyperparameter-tune-deploy-with-tensorflow/train-hyperparameter-tune-deploy-with-tensorflow.ipynb +++ b/how-to-use-azureml/ml-frameworks/tensorflow/deployment/train-hyperparameter-tune-deploy-with-tensorflow/train-hyperparameter-tune-deploy-with-tensorflow.ipynb @@ -1115,13 +1115,11 @@ "metadata": {}, "outputs": [], "source": [ - "models = ws.models\n", - "for name, model in models.items():\n", - " print(\"Model: {}, ID: {}\".format(name, model.id))\n", + "model = ws.models['tf-dnn-mnist']\n", + "print(\"Model: {}, ID: {}\".format('tf-dnn-mnist', model.id))\n", " \n", - "webservices = ws.webservices\n", - "for name, webservice in webservices.items():\n", - " print(\"Webservice: {}, scoring URI: {}\".format(name, webservice.scoring_uri))" + "webservice = ws.webservices['tf-mnist-svc']\n", + "print(\"Webservice: {}, scoring URI: {}\".format('tf-mnist-svc', webservice.scoring_uri))" ] }, { diff --git a/how-to-use-azureml/track-and-monitor-experiments/logging-api/logging-api.ipynb b/how-to-use-azureml/track-and-monitor-experiments/logging-api/logging-api.ipynb index 1253622b..e4019e75 100644 --- a/how-to-use-azureml/track-and-monitor-experiments/logging-api/logging-api.ipynb +++ b/how-to-use-azureml/track-and-monitor-experiments/logging-api/logging-api.ipynb @@ -100,7 +100,7 @@ "\n", "# Check core SDK version number\n", "\n", - "print(\"This notebook was created using SDK version 1.1.0rc1, you are currently running version\", azureml.core.VERSION)" + "print(\"This notebook was created using SDK version 1.1.1rc0, you are currently running version\", azureml.core.VERSION)" ] }, { diff --git a/setup-environment/configuration.ipynb b/setup-environment/configuration.ipynb index 9d441c61..62435abd 100644 --- a/setup-environment/configuration.ipynb +++ b/setup-environment/configuration.ipynb @@ -102,7 +102,7 @@ "source": [ "import azureml.core\n", "\n", - "print(\"This notebook was created using version 1.1.0rc1 of the Azure ML SDK\")\n", + "print(\"This notebook was created using version 1.1.1rc0 of the Azure ML SDK\")\n", "print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")" ] },