From c1fec2a794f41cf47d2e851ea366d2015e4139a4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9e=20Martens?= Date: Sun, 24 Sep 2017 08:25:13 -0500 Subject: [PATCH] Update Explore_Consume_Python_Web_Services.ipynb Clarify connection. --- operationalize/Explore_Consume_Python_Web_Services.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/operationalize/Explore_Consume_Python_Web_Services.ipynb b/operationalize/Explore_Consume_Python_Web_Services.ipynb index 63ab5a2..f4ba4ea 100644 --- a/operationalize/Explore_Consume_Python_Web_Services.ipynb +++ b/operationalize/Explore_Consume_Python_Web_Services.ipynb @@ -20,7 +20,7 @@ "source": [ "## Prerequisite\n", "\n", - "In this example, we assume you have already completed [the Quickstart](https://docs.microsoft.com/machine-learning-server/operationalize/python/quickstart-deploy-python-web-service) and there is a web service called 'TxService v1.0' hosted in your instance of Machine Learning Server. \n" + "In this example, we assume you have already completed [the Publish Quickstart](https://docs.microsoft.com/machine-learning-server/operationalize/python/quickstart-deploy-python-web-service) and there is a web service called 'TxService v1.0' hosted in your instance of Machine Learning Server. \n" ] }, { @@ -35,7 +35,7 @@ "\n", "1. Import the DeployClient and MLServer classes from the [azureml-model-management-sdk package](https://docs.microsoft.com/en-us/r-server/python-reference/azureml-model-management-sdk/azureml-model-management-sdk) to connect to Machine Learning Server (`use=MLServer`).\n", "\n", - "1. Provide the connection details for your host and context into the corresponding fields. Learn more in the article [Connecting to Machine Learning Server in Python](https://docs.microsoft.com/en-us/r-server/operationalize/python/how-to-authenticate-in-python)." + "1. Provide **the connection details for your host and context** into the corresponding fields. Learn more in the article [Connecting to Machine Learning Server in Python](https://docs.microsoft.com/en-us/r-server/operationalize/python/how-to-authenticate-in-python)." ] }, { @@ -53,7 +53,7 @@ "# -- Define the location of Machine Learning Server --\n", "# -- for local onebox: http://localhost:12800\n", "HOST = 'http://localhost:12800'\n", - "context = ('admin', '{{YOUR_PASSWORD}}')\n", + "context = ('admin', 'YOUR_ADMIN_PASSWORD')\n", "client = DeployClient(HOST, use=MLServer, auth=context)" ] },