Values_1.CreateProjectInputSourceCreates a machine learning (ML) project that can contain one or more templates that set up an ML pipeline from training to deploying an approved model.
type nonrec t = {projectName : ProjectEntityName.t;The name of the project.
*)projectDescription : Values_0.EntityDescription.t option;A description for the project.
*)serviceCatalogProvisioningDetails : ServiceCatalogProvisioningDetails.t option;The product ID and provisioning artifact ID to provision a service catalog. The provisioning artifact ID will default to the latest provisioning artifact ID of the product, if you don't provide the provisioning artifact ID. For more information, see What is Amazon Web Services Service Catalog.
*)templateProviders : CreateTemplateProviderList.t option;An array of template provider configurations for creating infrastructure resources for the project.
*)}val make :
?projectDescription:??? ->
?serviceCatalogProvisioningDetails:??? ->
?tags:??? ->
?templateProviders:??? ->
projectName:ProjectEntityName.t ->
unit ->
tval to_value :
t ->
[> `Structure of
(string
* [> `List of
[> `Structure of
(string
* [> `String of string
| `Structure of
(string
* [> `List of
[> `Structure of
(string * [> `String of string ]) list ]
list
| `String of string ])
list ])
list ]
list
| `String of ProjectEntityName.t
| `Structure of
(string
* [> `List of
[> `Structure of
(string * [> `String of ProvisioningParameterKey.t ])
list ]
list
| `String of ServiceCatalogEntityId.t ])
list ])
list ]