### YamlMime:JavaType uid: "com.azure.resourcemanager.machinelearning.models.Features" fullName: "com.azure.resourcemanager.machinelearning.models.Features" name: "Features" nameWithType: "Features" summary: "Resource collection API of Features." syntax: "public interface **Features**" methods: - uid: "com.azure.resourcemanager.machinelearning.models.Features.get(java.lang.String,java.lang.String,java.lang.String,java.lang.String,java.lang.String)" fullName: "com.azure.resourcemanager.machinelearning.models.Features.get(String resourceGroupName, String workspaceName, String featuresetName, String featuresetVersion, String featureName)" name: "get(String resourceGroupName, String workspaceName, String featuresetName, String featuresetVersion, String featureName)" nameWithType: "Features.get(String resourceGroupName, String workspaceName, String featuresetName, String featuresetVersion, String featureName)" summary: "Get feature." modifiers: - "abstract" parameters: - description: "The name of the resource group. The name is case insensitive." name: "resourceGroupName" type: "String" - description: "Name of Azure Machine Learning workspace." name: "workspaceName" type: "String" - description: "Feature set name. This is case-sensitive." name: "featuresetName" type: "String" - description: "Feature set version identifier. This is case-sensitive." name: "featuresetVersion" type: "String" - description: "Feature Name. This is case-sensitive." name: "featureName" type: "String" syntax: "public abstract Feature get(String resourceGroupName, String workspaceName, String featuresetName, String featuresetVersion, String featureName)" desc: "Get feature." returns: description: "feature." type: "" - uid: "com.azure.resourcemanager.machinelearning.models.Features.getWithResponse(java.lang.String,java.lang.String,java.lang.String,java.lang.String,java.lang.String,com.azure.core.util.Context)" fullName: "com.azure.resourcemanager.machinelearning.models.Features.getWithResponse(String resourceGroupName, String workspaceName, String featuresetName, String featuresetVersion, String featureName, Context context)" name: "getWithResponse(String resourceGroupName, String workspaceName, String featuresetName, String featuresetVersion, String featureName, Context context)" nameWithType: "Features.getWithResponse(String resourceGroupName, String workspaceName, String featuresetName, String featuresetVersion, String featureName, Context context)" summary: "Get feature." modifiers: - "abstract" parameters: - description: "The name of the resource group. The name is case insensitive." name: "resourceGroupName" type: "String" - description: "Name of Azure Machine Learning workspace." name: "workspaceName" type: "String" - description: "Feature set name. This is case-sensitive." name: "featuresetName" type: "String" - description: "Feature set version identifier. This is case-sensitive." name: "featuresetVersion" type: "String" - description: "Feature Name. This is case-sensitive." name: "featureName" type: "String" - description: "The context to associate with this operation." name: "context" type: "" syntax: "public abstract Response getWithResponse(String resourceGroupName, String workspaceName, String featuresetName, String featuresetVersion, String featureName, Context context)" desc: "Get feature." returns: description: "feature along with ." type: "<>" - uid: "com.azure.resourcemanager.machinelearning.models.Features.list(java.lang.String,java.lang.String,java.lang.String,java.lang.String)" fullName: "com.azure.resourcemanager.machinelearning.models.Features.list(String resourceGroupName, String workspaceName, String featuresetName, String featuresetVersion)" name: "list(String resourceGroupName, String workspaceName, String featuresetName, String featuresetVersion)" nameWithType: "Features.list(String resourceGroupName, String workspaceName, String featuresetName, String featuresetVersion)" summary: "List Features." modifiers: - "abstract" parameters: - description: "The name of the resource group. The name is case insensitive." name: "resourceGroupName" type: "String" - description: "Name of Azure Machine Learning workspace." name: "workspaceName" type: "String" - description: "Featureset name. This is case-sensitive." name: "featuresetName" type: "String" - description: "Featureset Version identifier. This is case-sensitive." name: "featuresetVersion" type: "String" syntax: "public abstract PagedIterable list(String resourceGroupName, String workspaceName, String featuresetName, String featuresetVersion)" desc: "List Features." returns: description: "a paginated list of Feature entities as paginated response with ." type: "<>" - uid: "com.azure.resourcemanager.machinelearning.models.Features.list(java.lang.String,java.lang.String,java.lang.String,java.lang.String,java.lang.String,java.lang.String,java.lang.String,java.lang.String,com.azure.resourcemanager.machinelearning.models.ListViewType,java.lang.Integer,com.azure.core.util.Context)" fullName: "com.azure.resourcemanager.machinelearning.models.Features.list(String resourceGroupName, String workspaceName, String featuresetName, String featuresetVersion, String skip, String tags, String featureName, String description, ListViewType listViewType, Integer pageSize, Context context)" name: "list(String resourceGroupName, String workspaceName, String featuresetName, String featuresetVersion, String skip, String tags, String featureName, String description, ListViewType listViewType, Integer pageSize, Context context)" nameWithType: "Features.list(String resourceGroupName, String workspaceName, String featuresetName, String featuresetVersion, String skip, String tags, String featureName, String description, ListViewType listViewType, Integer pageSize, Context context)" summary: "List Features." modifiers: - "abstract" parameters: - description: "The name of the resource group. The name is case insensitive." name: "resourceGroupName" type: "String" - description: "Name of Azure Machine Learning workspace." name: "workspaceName" type: "String" - description: "Featureset name. This is case-sensitive." name: "featuresetName" type: "String" - description: "Featureset Version identifier. This is case-sensitive." name: "featuresetVersion" type: "String" - description: "Continuation token for pagination." name: "skip" type: "String" - description: "Comma-separated list of tag names (and optionally values). Example: tag1,tag2=value2." name: "tags" type: "String" - description: "feature name." name: "featureName" type: "String" - description: "Description of the featureset." name: "description" type: "String" - description: "[ListViewType.ActiveOnly, ListViewType.ArchivedOnly, ListViewType.All]View type for\n including/excluding (for example) archived entities." name: "listViewType" type: "" - description: "Page size." name: "pageSize" type: "Integer" - description: "The context to associate with this operation." name: "context" type: "" syntax: "public abstract PagedIterable list(String resourceGroupName, String workspaceName, String featuresetName, String featuresetVersion, String skip, String tags, String featureName, String description, ListViewType listViewType, Integer pageSize, Context context)" desc: "List Features." returns: description: "a paginated list of Feature entities as paginated response with ." type: "<>" type: "interface" desc: "Resource collection API of Features." metadata: {} package: "com.azure.resourcemanager.machinelearning.models" artifact: com.azure.resourcemanager:azure-resourcemanager-machinelearning:1.1.0