Package-level declarations
Types
A collection of DataItems and Annotations on them. To get more information about Dataset, see:
Builder for AiDatasetArgs.
Builder for AiDataset.
'DeploymentResourcePool can be shared by multiple deployed models, whose underlying specification consists of dedicated resources.' To get more information about DeploymentResourcePool, see:
'DeploymentResourcePool can be shared by multiple deployed models, whose underlying specification consists of dedicated resources.' To get more information about DeploymentResourcePool, see:
Builder for AiDeploymentResourcePoolArgs.
Builder for AiDeploymentResourcePool.
Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations. To get more information about Endpoint, see:
Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations. To get more information about Endpoint, see:
Builder for AiEndpointArgs.
Builder for AiEndpointIamBindingArgs.
Builder for AiEndpointIamBinding.
Builder for AiEndpointIamMemberArgs.
Builder for AiEndpointIamMember.
Builder for AiEndpointIamPolicyArgs.
Builder for AiEndpointIamPolicy.
Builder for AiEndpoint.
Vertex AI Feature Group. To get more information about FeatureGroup, see:
Vertex AI Feature Group. To get more information about FeatureGroup, see:
Builder for AiFeatureGroupArgs.
Vertex AI Feature Group Feature is feature metadata information. To get more information about FeatureGroupFeature, see:
Vertex AI Feature Group Feature is feature metadata information. To get more information about FeatureGroupFeature, see:
Builder for AiFeatureGroupFeatureArgs.
Builder for AiFeatureGroupFeature.
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
Builder for AiFeatureGroupIamBindingArgs.
Builder for AiFeatureGroupIamBinding.
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
Builder for AiFeatureGroupIamMemberArgs.
Builder for AiFeatureGroupIamMember.
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
Builder for AiFeatureGroupIamPolicyArgs.
Builder for AiFeatureGroupIamPolicy.
Builder for AiFeatureGroup.
Vertex AI Feature Online Store provides a centralized repository for serving ML features and embedding indexes at low latency. The Feature Online Store is a top-level container. To get more information about FeatureOnlineStore, see:
Vertex AI Feature Online Store provides a centralized repository for serving ML features and embedding indexes at low latency. The Feature Online Store is a top-level container. To get more information about FeatureOnlineStore, see:
Builder for AiFeatureOnlineStoreArgs.
FeatureView is representation of values that the FeatureOnlineStore will serve based on its syncConfig. To get more information about FeatureOnlineStoreFeatureview, see:
FeatureView is representation of values that the FeatureOnlineStore will serve based on its syncConfig. To get more information about FeatureOnlineStoreFeatureview, see:
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
Builder for AiFeatureOnlineStoreIamBindingArgs.
Builder for AiFeatureOnlineStoreIamBinding.
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
Builder for AiFeatureOnlineStoreIamMemberArgs.
Builder for AiFeatureOnlineStoreIamMember.
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
Builder for AiFeatureOnlineStoreIamPolicyArgs.
Builder for AiFeatureOnlineStoreIamPolicy.
Builder for AiFeatureOnlineStore.
A collection of DataItems and Annotations on them. To get more information about Featurestore, see:
A collection of DataItems and Annotations on them. To get more information about Featurestore, see:
Builder for AiFeatureStoreArgs.
An entity type is a type of object in a system that needs to be modeled and have stored information about. For example, driver is an entity type, and driver0 is an instance of an entity type driver. To get more information about FeaturestoreEntitytype, see:
An entity type is a type of object in a system that needs to be modeled and have stored information about. For example, driver is an entity type, and driver0 is an instance of an entity type driver. To get more information about FeaturestoreEntitytype, see:
Builder for AiFeatureStoreEntityTypeArgs.
Feature Metadata information that describes an attribute of an entity type. For example, apple is an entity type, and color is a feature that describes apple. To get more information about FeaturestoreEntitytypeFeature, see:
Feature Metadata information that describes an attribute of an entity type. For example, apple is an entity type, and color is a feature that describes apple. To get more information about FeaturestoreEntitytypeFeature, see:
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
Builder for AiFeatureStoreEntityType.
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
Builder for AiFeatureStoreIamBindingArgs.
Builder for AiFeatureStoreIamBinding.
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
Builder for AiFeatureStoreIamMemberArgs.
Builder for AiFeatureStoreIamMember.
For all import syntaxes, the "resource in question" can take any of the following forms:
For all import syntaxes, the "resource in question" can take any of the following forms:
Builder for AiFeatureStoreIamPolicyArgs.
Builder for AiFeatureStoreIamPolicy.
Builder for AiFeatureStore.
A representation of a collection of database items organized in a way that allows for approximate nearest neighbor (a.k.a ANN) algorithms search. To get more information about Index, see:
Builder for AiIndexArgs.
An endpoint indexes are deployed into. An index endpoint can have multiple deployed indexes. To get more information about IndexEndpoint, see:
An endpoint indexes are deployed into. An index endpoint can have multiple deployed indexes. To get more information about IndexEndpoint, see:
Builder for AiIndexEndpointArgs.
An endpoint indexes are deployed into. An index endpoint can have multiple deployed indexes. To get more information about IndexEndpointDeployedIndex, see:
An endpoint indexes are deployed into. An index endpoint can have multiple deployed indexes. To get more information about IndexEndpointDeployedIndex, see:
Builder for AiIndexEndpointDeployedIndexArgs.
Builder for AiIndexEndpointDeployedIndex.
Builder for AiIndexEndpoint.
Builder for AiIndex.
Builder for AiMetadataStoreArgs.
Builder for AiMetadataStore.
Tensorboard is a physical database that stores users' training metrics. A default Tensorboard is provided in each region of a GCP project. If needed users can also create extra Tensorboards in their projects. To get more information about Tensorboard, see:
Tensorboard is a physical database that stores users' training metrics. A default Tensorboard is provided in each region of a GCP project. If needed users can also create extra Tensorboards in their projects. To get more information about Tensorboard, see:
Builder for AiTensorboardArgs.
Builder for AiTensorboard.