Package-level declarations
Types
A collection of DataItems and Annotations on them. To get more information about Dataset, see:
A collection of DataItems and Annotations on them. To get more information about Dataset, see:
Builder for AiDatasetArgs.
Builder for AiDataset.
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 AiEndpoint.
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* {{featurestore}}/entityTypes/{{name}} * {{name}} Any variables not passed in the import command will be taken from the provider configuration. Vertex AI featurestoreentitytype IAM resources can be imported using the resource identifiers, role, and member. IAM member imports use space-delimited identifiersthe resource in question, the role, and the member identity, e.g.
For all import syntaxes, the "resource in question" can take any of the following forms* {{featurestore}}/entityTypes/{{name}} * {{name}} Any variables not passed in the import command will be taken from the provider configuration. Vertex AI featurestoreentitytype IAM resources can be imported using the resource identifiers, role, and member. IAM member imports use space-delimited identifiersthe resource in question, the role, and the member identity, e.g.
For all import syntaxes, the "resource in question" can take any of the following forms* {{featurestore}}/entityTypes/{{name}} * {{name}} Any variables not passed in the import command will be taken from the provider configuration. Vertex AI featurestoreentitytype IAM resources can be imported using the resource identifiers, role, and member. IAM member imports use space-delimited identifiersthe resource in question, the role, and the member identity, e.g.
For all import syntaxes, the "resource in question" can take any of the following forms* {{featurestore}}/entityTypes/{{name}} * {{name}} Any variables not passed in the import command will be taken from the provider configuration. Vertex AI featurestoreentitytype IAM resources can be imported using the resource identifiers, role, and member. IAM member imports use space-delimited identifiersthe resource in question, the role, and the member identity, e.g.
For all import syntaxes, the "resource in question" can take any of the following forms* {{featurestore}}/entityTypes/{{name}} * {{name}} Any variables not passed in the import command will be taken from the provider configuration. Vertex AI featurestoreentitytype IAM resources can be imported using the resource identifiers, role, and member. IAM member imports use space-delimited identifiersthe resource in question, the role, and the member identity, e.g.
For all import syntaxes, the "resource in question" can take any of the following forms* {{featurestore}}/entityTypes/{{name}} * {{name}} Any variables not passed in the import command will be taken from the provider configuration. Vertex AI featurestoreentitytype IAM resources can be imported using the resource identifiers, role, and member. IAM member imports use space-delimited identifiersthe resource in question, the role, and the member identity, e.g.
Builder for AiFeatureStoreEntityType.
For all import syntaxes, the "resource in question" can take any of the following forms* projects/{{project}}/locations/{{region}}/featurestores/{{name}} * {{project}}/{{region}}/{{name}} * {{region}}/{{name}} * {{name}} Any variables not passed in the import command will be taken from the provider configuration. Vertex AI featurestore IAM resources can be imported using the resource identifiers, role, and member. IAM member imports use space-delimited identifiersthe resource in question, the role, and the member identity, e.g.
For all import syntaxes, the "resource in question" can take any of the following forms* projects/{{project}}/locations/{{region}}/featurestores/{{name}} * {{project}}/{{region}}/{{name}} * {{region}}/{{name}} * {{name}} Any variables not passed in the import command will be taken from the provider configuration. Vertex AI featurestore IAM resources can be imported using the resource identifiers, role, and member. IAM member imports use space-delimited identifiersthe resource in question, the role, and the member identity, e.g.
Builder for AiFeatureStoreIamBindingArgs.
Builder for AiFeatureStoreIamBinding.
For all import syntaxes, the "resource in question" can take any of the following forms* projects/{{project}}/locations/{{region}}/featurestores/{{name}} * {{project}}/{{region}}/{{name}} * {{region}}/{{name}} * {{name}} Any variables not passed in the import command will be taken from the provider configuration. Vertex AI featurestore IAM resources can be imported using the resource identifiers, role, and member. IAM member imports use space-delimited identifiersthe resource in question, the role, and the member identity, e.g.
For all import syntaxes, the "resource in question" can take any of the following forms* projects/{{project}}/locations/{{region}}/featurestores/{{name}} * {{project}}/{{region}}/{{name}} * {{region}}/{{name}} * {{name}} Any variables not passed in the import command will be taken from the provider configuration. Vertex AI featurestore IAM resources can be imported using the resource identifiers, role, and member. IAM member imports use space-delimited identifiersthe resource in question, the role, and the member identity, e.g.
Builder for AiFeatureStoreIamMemberArgs.
Builder for AiFeatureStoreIamMember.
For all import syntaxes, the "resource in question" can take any of the following forms* projects/{{project}}/locations/{{region}}/featurestores/{{name}} * {{project}}/{{region}}/{{name}} * {{region}}/{{name}} * {{name}} Any variables not passed in the import command will be taken from the provider configuration. Vertex AI featurestore IAM resources can be imported using the resource identifiers, role, and member. IAM member imports use space-delimited identifiersthe resource in question, the role, and the member identity, e.g.
For all import syntaxes, the "resource in question" can take any of the following forms* projects/{{project}}/locations/{{region}}/featurestores/{{name}} * {{project}}/{{region}}/{{name}} * {{region}}/{{name}} * {{name}} Any variables not passed in the import command will be taken from the provider configuration. Vertex AI featurestore IAM resources can be imported using the resource identifiers, role, and member. IAM member imports use space-delimited identifiersthe resource in question, the role, and the member identity, e.g.
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:
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.
Builder for AiIndex.
MetadataStore can be imported using any of these accepted formats
MetadataStore can be imported using any of these accepted formats
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.