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fix 4_operationalization.ipynb #57

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fix 4_operationalization.ipynb #57

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3af660e
Update 4_operationalization.ipynb
datashinobi Aug 14, 2018
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Update 4_operationalization.ipynb
datashinobi Aug 14, 2018
465bee3
Update 4_operationalization.ipynb
datashinobi Aug 14, 2018
4eb40dd
Update 4_operationalization.ipynb
datashinobi Aug 23, 2018
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plot feature importance
Sep 8, 2018
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167 changes: 88 additions & 79 deletions Code/3_model_building.ipynb
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13 changes: 1 addition & 12 deletions Code/4_operationalization.ipynb
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Expand Up @@ -1073,24 +1073,13 @@
"\n",
"using the same `<ACCOUNT_REGION>` and `<RESOURCE_GROUP>` in the previous section. Then set the current environment:\n",
"\n",
"`az ml env set --resource-group <RESOURCE_GROUP> --cluster-name pdmmodelmanagement`\n",
"`az ml env set --resource-group <RESOURCE_GROUP> -n pdmmodelmanagement`\n",
"\n",
"Check that the environment is now set:\n",
"\n",
"`az ml env show`\n",
"\n",
"\n",
"## Install docker to compute target\n",
"\n",
"Once the model management environment is setup, we'll deploy the web service from the CLI to a local docker container for this demonstration. This assumes you have docker installed localy (https://www.docker.com/get-docker).\n",
"\n",
"Once docker is installed and running, you will need to prepare the local docker container, just as we didi the remote container.\n",
"\n",
"`az ml experiment prepare -c docker`\n",
"\n",
"Now deploy the solution to this container.\n",
"\n",
"\n",
"## Deploy a web service \n",
"\n",
"These commands assume the current directory contains the webservice assets we created in throughout the notebooks in this scenario (`pdmscore.py`, `service_schema.json` and `pdmrfull.model`). Change to the directory where the zip file was unpacked. \n",
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