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4 Commits
release_up
...
release_up
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b06f5ce269 | ||
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ed0ce9e895 | ||
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71053d705b | ||
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77f98bf75f |
@@ -103,7 +103,7 @@
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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 1.1.5rc0 of the Azure ML SDK\")\n",
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"print(\"This notebook was created using version 1.1.5 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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@@ -100,7 +100,7 @@
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"\n",
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"# Check core SDK version number\n",
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"\n",
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"print(\"This notebook was created using SDK version 1.1.5rc0, you are currently running version\", azureml.core.VERSION)"
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"print(\"This notebook was created using SDK version 1.1.5, you are currently running version\", azureml.core.VERSION)"
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]
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},
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{
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@@ -149,6 +149,20 @@
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" ssh_port=22, \n",
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" username=os.environ.get('hdiusername', '<ssh_username>'), \n",
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" password=os.environ.get('hdipassword', '<my_password>'))\n",
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"\n",
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"# The following Azure regions do not support attaching a HDI Cluster using the public IP address of the HDI Cluster.\n",
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"# Instead, use the Azure Resource Manager ID of the HDI Cluster with the resource_id parameter:\n",
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"# US East\n",
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"# US West 2\n",
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"# US South Central\n",
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"# The resource ID of the HDI Cluster can be constructed using the\n",
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"# subscription ID, resource group name, and cluster name using the following string format:\n",
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"# /subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.HDInsight/clusters/<cluster_name>. \n",
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"# If in US East, US West 2, or US South Central, use the following instead:\n",
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"# attach_config = HDInsightCompute.attach_configuration(resource_id='<resource_id>',\n",
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"# ssh_port=22,\n",
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"# username=os.environ.get('hdiusername', '<ssh_username>'),\n",
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"# password=os.environ.get('hdipassword', '<my_password>'))\n",
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" hdi_compute = ComputeTarget.attach(workspace=ws, \n",
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" name='myhdi', \n",
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" attach_configuration=attach_config)\n",
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@@ -266,7 +266,23 @@
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" ssh_port=22,\n",
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" username=username,\n",
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" private_key_file='./.ssh/id_rsa')\n",
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" attached_dsvm_compute = ComputeTarget.attach(workspace=ws,\n",
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"\n",
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"\n",
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"# The following Azure regions do not support attaching a virtual machine using the public IP address of the VM.\n",
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"# Instead, use the Azure Resource Manager ID of the VM with the resource_id parameter:\n",
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"# US East\n",
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"# US West 2\n",
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"# US South Central\n",
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"# The resource ID of the VM can be constructed using the\n",
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"# subscription ID, resource group name, and VM name using the following string format:\n",
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"# /subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.Compute/virtualMachines/<vm_name>. \n",
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"# If in US East, US West 2, or US South Central, use the following instead:\n",
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"# attach_config = RemoteCompute.attach_configuration(resource_id='<resource_id>',\n",
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"# ssh_port=22,\n",
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"# username='username',\n",
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"# private_key_file='./.ssh/id_rsa')\n",
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"\n",
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" attached_dsvm_compute = ComputeTarget.attach(workspace=ws,\n",
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" name=compute_target_name,\n",
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" attach_configuration=attach_config)\n",
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" attached_dsvm_compute.wait_for_completion(show_output=True)"
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@@ -102,7 +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 1.1.5rc0 of the Azure ML SDK\")\n",
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"print(\"This notebook was created using version 1.1.5 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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