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update samples from Release-173 as a part of SDK release #1867

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merged 1 commit into from
Dec 20, 2022
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update samples from Release-173 as a part of SDK release #1867

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update samples from Release-173 as a part of SDK release
  • Loading branch information
@amlrelsa-ms
amlrelsa-ms committed Dec 20, 2022
commit 0e17b33d2a02257b5867c31cc33ed8c4bb802d7d
2 changes: 1 addition & 1 deletion how-to-use-azureml/deployment/deploy-multi-model/multi-model-register-and-deploy.ipynb
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Expand Up @@ -239,7 +239,7 @@
"\n",
"env = Environment(\"deploytocloudenv\")\n",
"env.python.conda_dependencies.add_pip_package(\"joblib\")\n",
"env.python.conda_dependencies.add_pip_package(\"numpy\")\n",
"env.python.conda_dependencies.add_pip_package(\"numpy==1.23\")\n",
"env.python.conda_dependencies.add_pip_package(\"scikit-learn=={}\".format(sklearn.__version__))"
]
},
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4 changes: 2 additions & 2 deletions how-to-use-azureml/deployment/deploy-to-cloud/model-register-and-deploy.ipynb
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Expand Up @@ -285,7 +285,7 @@
" 'azureml-defaults',\n",
" 'inference-schema[numpy-support]',\n",
" 'joblib',\n",
" 'numpy',\n",
" 'numpy==1.23',\n",
" 'scikit-learn=={}'.format(sklearn.__version__)\n",
"])"
]
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" 'azureml-defaults',\n",
" 'inference-schema[numpy-support]',\n",
" 'joblib',\n",
" 'numpy',\n",
" 'numpy==1.23',\n",
" 'scikit-learn=={}'.format(sklearn.__version__)\n",
"])\n",
"inference_config = InferenceConfig(entry_script='score.py', environment=environment)\n",
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2 changes: 1 addition & 1 deletion ...zureml/deployment/deploy-with-controlled-rollout/deploy-aks-with-controlled-rollout.ipynb
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Expand Up @@ -110,7 +110,7 @@
" pip_packages=[\n",
" 'azureml-defaults',\n",
" 'inference-schema[numpy-support]',\n",
" 'numpy',\n",
" 'numpy==1.23',\n",
" 'scikit-learn==0.22.1',\n",
" 'scipy'\n",
"])"
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2 changes: 1 addition & 1 deletion ...ith-data/datasets-tutorial/pipeline-with-datasets/pipeline-for-image-classification.ipynb
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Expand Up @@ -277,7 +277,7 @@
" - azureml-dataset-runtime\n",
" - keras==2.6\n",
" - tensorflow-gpu==2.6\n",
" - numpy\n",
" - numpy==1.23\n",
" - scikit-learn\n",
" - pandas\n",
" - matplotlib\n",
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2 changes: 1 addition & 1 deletion tutorials/image-classification-mnist-data/img-classification-part1-training.ipynb
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Expand Up @@ -431,7 +431,7 @@
"\n",
"# to install required packages\n",
"env = Environment('tutorial-env')\n",
"cd = CondaDependencies.create(pip_packages=['azureml-dataset-runtime[pandas,fuse]', 'azureml-defaults'], conda_packages = ['scikit-learn==0.22.1'])\n",
"cd = CondaDependencies.create(pip_packages=['azureml-dataset-runtime[pandas,fuse]', 'azureml-defaults'], conda_packages = ['scikit-learn==0.22.1', 'numpy==1.23'])\n",
"\n",
"env.python.conda_dependencies = cd\n",
"\n",
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2 changes: 1 addition & 1 deletion tutorials/image-classification-mnist-data/img-classification-part3-deploy-encrypted.ipynb
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Expand Up @@ -82,7 +82,7 @@
"\n",
"# to install required packages\n",
"env = Environment('tutorial-encryption-env')\n",
"cd = CondaDependencies.create(pip_packages=['azureml-dataset-runtime[pandas,fuse]', 'azureml-defaults', 'azure-storage-blob', 'encrypted-inference==0.9'], conda_packages = ['scikit-learn==0.22.1'])\n",
"cd = CondaDependencies.create(pip_packages=['azureml-dataset-runtime[pandas,fuse]', 'azureml-defaults', 'azure-storage-blob', 'encrypted-inference==0.9'], conda_packages = ['scikit-learn==0.22.1', 'numpy==1.23'])\n",
"\n",
"env.python.conda_dependencies = cd\n",
"\n",
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