55 строки
4.2 KiB
YAML
55 строки
4.2 KiB
YAML
### YamlMime:JavaType
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uid: "com.azure.resourcemanager.machinelearning.models.WorkspaceFeatures"
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fullName: "com.azure.resourcemanager.machinelearning.models.WorkspaceFeatures"
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name: "WorkspaceFeatures"
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nameWithType: "WorkspaceFeatures"
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summary: "Resource collection API of Workspace<wbr>Features."
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syntax: "public interface **WorkspaceFeatures**"
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methods:
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- uid: "com.azure.resourcemanager.machinelearning.models.WorkspaceFeatures.list(java.lang.String,java.lang.String)"
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fullName: "com.azure.resourcemanager.machinelearning.models.WorkspaceFeatures.list(String resourceGroupName, String workspaceName)"
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name: "list(String resourceGroupName, String workspaceName)"
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nameWithType: "WorkspaceFeatures.list(String resourceGroupName, String workspaceName)"
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summary: "Lists all enabled features for a workspace."
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modifiers:
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- "abstract"
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parameters:
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- description: "The name of the resource group. The name is case insensitive."
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name: "resourceGroupName"
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type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/String.html\">String</a>"
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- description: "Name of Azure Machine Learning workspace."
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name: "workspaceName"
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type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/String.html\">String</a>"
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syntax: "public abstract PagedIterable<AmlUserFeature> list(String resourceGroupName, String workspaceName)"
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desc: "Lists all enabled features for a workspace."
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returns:
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description: "the List Aml user feature operation response as paginated response with <xref uid=\"com.azure.core.http.rest.PagedIterable\" data-throw-if-not-resolved=\"false\" data-raw-source=\"PagedIterable\"></xref>."
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type: "<xref href=\"com.azure.core.http.rest.PagedIterable?alt=com.azure.core.http.rest.PagedIterable&text=PagedIterable\" data-throw-if-not-resolved=\"False\" /><<xref href=\"com.azure.resourcemanager.machinelearning.models.AmlUserFeature?alt=com.azure.resourcemanager.machinelearning.models.AmlUserFeature&text=AmlUserFeature\" data-throw-if-not-resolved=\"False\" />>"
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- uid: "com.azure.resourcemanager.machinelearning.models.WorkspaceFeatures.list(java.lang.String,java.lang.String,com.azure.core.util.Context)"
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fullName: "com.azure.resourcemanager.machinelearning.models.WorkspaceFeatures.list(String resourceGroupName, String workspaceName, Context context)"
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name: "list(String resourceGroupName, String workspaceName, Context context)"
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nameWithType: "WorkspaceFeatures.list(String resourceGroupName, String workspaceName, Context context)"
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summary: "Lists all enabled features for a workspace."
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modifiers:
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- "abstract"
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parameters:
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- description: "The name of the resource group. The name is case insensitive."
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name: "resourceGroupName"
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type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/String.html\">String</a>"
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- description: "Name of Azure Machine Learning workspace."
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name: "workspaceName"
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type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/String.html\">String</a>"
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- description: "The context to associate with this operation."
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name: "context"
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type: "<xref href=\"com.azure.core.util.Context?alt=com.azure.core.util.Context&text=Context\" data-throw-if-not-resolved=\"False\" />"
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syntax: "public abstract PagedIterable<AmlUserFeature> list(String resourceGroupName, String workspaceName, Context context)"
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desc: "Lists all enabled features for a workspace."
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returns:
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description: "the List Aml user feature operation response as paginated response with <xref uid=\"com.azure.core.http.rest.PagedIterable\" data-throw-if-not-resolved=\"false\" data-raw-source=\"PagedIterable\"></xref>."
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type: "<xref href=\"com.azure.core.http.rest.PagedIterable?alt=com.azure.core.http.rest.PagedIterable&text=PagedIterable\" data-throw-if-not-resolved=\"False\" /><<xref href=\"com.azure.resourcemanager.machinelearning.models.AmlUserFeature?alt=com.azure.resourcemanager.machinelearning.models.AmlUserFeature&text=AmlUserFeature\" data-throw-if-not-resolved=\"False\" />>"
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type: "interface"
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desc: "Resource collection API of WorkspaceFeatures."
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metadata: {}
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package: "com.azure.resourcemanager.machinelearning.models"
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artifact: com.azure.resourcemanager:azure-resourcemanager-machinelearning:1.1.0
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