update samples from Release-39 as a part of SDK release

update samples from Release-38 as a part of  SDK release

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\")"
       ]
     },

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

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

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')"

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",
+        "model = ws.models['chainer-dnn-mnist']\n",
-        "for name, model in models.items():\n",
+        "print(\"Model: {}, ID: {}\".format('chainer-dnn-mnist', model.id))\n",
-        "    print(\"Model: {}, ID: {}\".format(name, model.id))\n",
         "       \n",
-        "webservices = ws.webservices\n",
+        "webservice = ws.webservices['chainer-mnist-1']\n",
-        "for name, webservice in webservices.items():\n",
+        "print(\"Webservice: {}, scoring URI: {}\".format('chainer-mnist-1', webservice.scoring_uri))"
-        "    print(\"Webservice: {}, scoring URI: {}\".format(name, webservice.scoring_uri))"
       ]
     },
     {

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",
+        "model = ws.models['tf-dnn-mnist']\n",
-        "for name, model in models.items():\n",
+        "print(\"Model: {}, ID: {}\".format('tf-dnn-mnist', model.id))\n",
-        "    print(\"Model: {}, ID: {}\".format(name, model.id))\n",
         "    \n",
-        "webservices = ws.webservices\n",
+        "webservice = ws.webservices['tf-mnist-svc']\n",
-        "for name, webservice in webservices.items():\n",
+        "print(\"Webservice: {}, scoring URI: {}\".format('tf-mnist-svc', webservice.scoring_uri))"
-        "    print(\"Webservice: {}, scoring URI: {}\".format(name, webservice.scoring_uri))"
       ]
     },
     {

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)"
       ]
     },
     {

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\")"
       ]
     },