update samples from Release-132 as a part of 1.0.48 SDK release
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@@ -1,5 +1,12 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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""
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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@@ -50,7 +57,7 @@
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"\n",
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"### What is an Azure Machine Learning workspace\n",
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"\n",
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"An Azure ML Workspace is an Azure resource that organizes and coordinates the actions of many other Azure resources to assist in executing and sharing machine learning workflows. In particular, an Azure ML Workspace coordinates storage, databases, and compute resources providing added functionality for machine learning experimentation, deployment, inferencing, and the monitoring of deployed models."
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"An Azure ML Workspace is an Azure resource that organizes and coordinates the actions of many other Azure resources to assist in executing and sharing machine learning workflows. In particular, an Azure ML Workspace coordinates storage, databases, and compute resources providing added functionality for machine learning experimentation, deployment, inference, and the monitoring of deployed models."
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]
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},
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{
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@@ -95,7 +102,7 @@
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"source": [
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"import azureml.core\n",
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"\n",
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"print(\"This notebook was created using version 1.0.45 of the Azure ML SDK\")\n",
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"print(\"This notebook was created using version 1.0.48 of the Azure ML SDK\")\n",
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"print(\"You are currently using version\", azureml.core.VERSION, \"of the Azure ML SDK\")"
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]
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},
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@@ -253,13 +260,6 @@
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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""
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]
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}
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],
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"metadata": {
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4
setup-environment/configuration.yml
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4
setup-environment/configuration.yml
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@@ -0,0 +1,4 @@
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name: configuration
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dependencies:
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- pip:
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- azureml-sdk
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