### 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