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change deployment to model-centric approach

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Sheri Gilley
2019-08-21 09:50:49 -05:00
parent 197eaf1aab
commit 475afbf44b
1 changed files with 623 additions and 624 deletions
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17
tutorials/img-classification-part2-deploy.ipynb
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@@ -412,18 +412,17 @@
"source": [
"%%time\n",
"from azureml.core.webservice import Webservice\n",
"from azureml.core.image import ContainerImage\n",
"from azureml.core.model import InferenceConfig\n",
"\n",
"# configure the image\n",
"image_config = ContainerImage.image_configuration(execution_script=\"score.py\", \n",
" runtime=\"python\", \n",
"inference_config = InferenceConfig(runtime= \"python\", \n",
" entry_script=\"score.py\",\n",
" conda_file=\"myenv.yml\")\n",
"\n",
"service = Webservice.deploy_from_model(workspace=ws,\n",
" name='sklearn-mnist-svc',\n",
" deployment_config=aciconfig,\n",
" models=[model],\n",
" image_config=image_config)\n",
"service = Model.deploy(workspace=ws, \n",
" name='sklearn-mnist-svc', \n",
" models=[model], \n",
" inference_config=inference_config, \n",
" deployment_config=aciconfig)\n",
"\n",
"service.wait_for_deployment(show_output=True)"
]