az synapse dataset delete--workspace-nametestsynapseworkspace \--nametestdataset 必需参数 --name -n 数据集名称。 --workspace-name 工作区名称。 可选参数 --no-wait 不等待长时间运行的操作完成。 默认值:False --yes -y 不提示确认。 默认值:False ...
Set-AzSynapseDataset-WorkspaceName<String>-Name<String>-DefinitionFile<String> [-AsJob] [-DefaultProfile <IAzureContextContainer>] [-WhatIf] [-Confirm] [<CommonParameters>] PowerShell Set-AzSynapseDataset-WorkspaceObject<PSSynapseWorkspace>-Name<String>-DefinitionFile<String> [-AsJob] [-DefaultProfi...
SynapseWorkspaceSqlPoolTableDataSet.DataSetId PropriétéRéférence Commentaires DéfinitionEspace de noms: Microsoft.Azure.Management.DataShare.Models Assembly: Microsoft.Azure.Management.DataShare.dll Paquet: Microsoft.Azure.Management.DataShare v1.3.0 ...
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datasetName path True string The dataset name. Regex pattern: ^[A-Za-z0-9_][^<>*#.%&:\\+?/]*$ endpoint path True string uri The workspace development endpoint, for example https://myworkspace.dev.azuresynapse.net. api-version query True string The Synapse cl...
The official codes for the work "MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image Segmentation". - msvm-unet/dataset_synapse.py at main · gndlwch2w/msvm-unet
setting useSingleDatasetMode to True gives java: malloc.c:4033: _int_malloc: Assertion `(unsigned long) (size) >= (unsigned long) (nb)' failed. I keep everything else the same and set that flag to False and the code runs just fine. At th...
Access to the synapse multi-organ dataset: 1. Sign up in the [official Synapse website](https://www.synapse.org/#!Synapse:syn3193805/wiki/) and download the dataset. Convert them to numpy format, clip the images within [-125, 275], normalize each 3D image to [0, 1], and extract ...
azure.synapse.artifacts.models.ActivityPolicy azure.synapse.artifacts.models.ActivityRun azure.synapse.artifacts.models.ActivityRunsQueryResponse azure.synapse.artifacts.models.AddDataFlowToDebugSessionResponse azure.synapse.artifacts.models.AmazonMWSLinkedService azure.synapse.artifacts.models.AmazonMWSObject...
DatasetCompression(*, additional_properties: Dict[str, object] |None=None, **kwargs) 参数 additional_properties dict[str,object] 必需 消息中的不匹配属性将反序列化到此集合。 type str 必需 必需。 数据集压缩的类型。由服务器填充的常量。