azureml.core.compute 概述 azureml.core.compute.AdlaCompute azureml.core.compute.AksCompute azureml.core.compute.AmlCompute azureml.core.compute.BatchCompute azureml.core.compute.ComputeInstance azureml.core.compute.ComputeTarget azureml.core.compute.DataFactoryCompute ...
from azure.ai.ml.entities import ComputeInstanceSshSettings ssh_settings = ComputeInstanceSshSettings( ssh_key_value="ssh-rsa ABCDEFGHIJKLMNOPQRSTUVWXYZ administrator@MININT-2023" ) 属性admin_username 可用于通过 SSH 连接到节点的管理员用户帐户的名称。 返回 展开表 类型说明 str 管理员用户帐户的名称。
ComputeInstanceCreatedBy ComputeInstanceLastOperation ComputeInstanceProperties ComputeInstanceSshSettings ComputeInstanceState ComputeNodesInformation ComputeResource ComputeSecrets ComputeType DataFactory DataLakeAnalytics DataLakeAnalyticsProperties Databricks DatabricksComputeSecrets DatabricksProp...
models.ComputeInstanceAuthorizationType azure.mgmt.machinelearningservices.models.ComputeInstanceConnectivityEndpoints azure.mgmt.machinelearningservices.models.ComputeInstanceContainer azure.mgmt.machinelearningservices.models.ComputeInstanceCreatedBy azure.mgmt.machinelearningservices.mode...
microsoft.compute disks 空值 Microsoft.DataBoxEdge dataBoxEdgeDevices 空值 microsoft.edgezones edgezones 空值 Microsoft.ElasticSan elasticSans 空值 Microsoft.HDInsight clusters 空值 Microsoft.HealthModel healthmodels 空值 Microsoft。 HybridContainerService provisionedClusters 空值 microsoft.hybridnetwork networkfun...
Gaussian normalizer: The Gaussian normalizer rescales the values of each feature to have mean 0 and variance 1. This is done by computing the mean and the variance of each feature. For each instance, the mean value is subtracted, and the result divided by the square root of the variance ...
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2. 实现的具体实例(train-on-computeinstance.ipynb): # Check core SDK version numberimportazureml.coreprint("SDK version:",azureml.core.VERSION) SDK version: 1.11.0 fromazureml.coreimportWorkspace# Initialize a workspace objectws=Workspace.from_config()print(ws.name,ws.resource_group,ws.location...
These notebooks are recommended for use in an Azure Machine LearningCompute Instance, where you can run them without any additional set up. However, the notebooks can be run in any development environment with the correctazuremlpackages installed. ...
Next, choose the compute where the environments and inference code for the endpoints will be deployed. For this endpoint, we selected a “Standard_DS3_v2” VM as it was sufficient for this use case. The instance count determines how many machines are running at deployment, which ...