- 0.61.0 (latest)
- 0.60.0
- 0.59.0
- 0.58.0
- 0.57.0
- 0.56.0
- 0.55.0
- 0.54.0
- 0.53.0
- 0.52.0
- 0.51.0
- 0.50.0
- 0.49.0
- 0.48.0
- 0.47.0
- 0.46.0
- 0.45.0
- 0.44.0
- 0.43.0
- 0.42.0
- 0.41.0
- 0.40.0
- 0.39.0
- 0.38.0
- 0.37.0
- 0.36.0
- 0.35.0
- 0.34.0
- 0.33.0
- 0.32.0
- 0.31.0
- 0.30.0
- 0.29.0
- 0.28.0
- 0.27.0
- 0.26.0
- 0.25.0
- 0.24.0
- 0.23.0
- 0.22.0
- 0.21.0
- 0.20.0
- 0.19.0
- 0.18.0
- 0.17.0
- 0.16.0
- 0.15.0
- 0.14.0
- 0.13.0
- 0.12.0
- 0.11.0
- 0.10.0
- 0.9.1
- 0.8.0
- 0.7.0
- 0.6.0
- 0.5.0
- 0.4.0
- 0.3.0
- 0.2.0
- 0.1.0
Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::UploadModelRequest.
Request message for ModelService.UploadModel.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#model
def model() -> ::Google::Cloud::AIPlatform::V1::Model
- (::Google::Cloud::AIPlatform::V1::Model) — Required. The Model to create.
#model=
def model=(value) -> ::Google::Cloud::AIPlatform::V1::Model
- value (::Google::Cloud::AIPlatform::V1::Model) — Required. The Model to create.
- (::Google::Cloud::AIPlatform::V1::Model) — Required. The Model to create.
#model_id
def model_id() -> ::String
-
(::String) — Optional. The ID to use for the uploaded Model, which will become the final
component of the model resource name.
This value may be up to 63 characters, and valid characters are
[a-z0-9_-]
. The first character cannot be a number or hyphen.
#model_id=
def model_id=(value) -> ::String
-
value (::String) — Optional. The ID to use for the uploaded Model, which will become the final
component of the model resource name.
This value may be up to 63 characters, and valid characters are
[a-z0-9_-]
. The first character cannot be a number or hyphen.
-
(::String) — Optional. The ID to use for the uploaded Model, which will become the final
component of the model resource name.
This value may be up to 63 characters, and valid characters are
[a-z0-9_-]
. The first character cannot be a number or hyphen.
#parent
def parent() -> ::String
-
(::String) — Required. The resource name of the Location into which to upload the Model.
Format:
projects/{project}/locations/{location}
#parent=
def parent=(value) -> ::String
-
value (::String) — Required. The resource name of the Location into which to upload the Model.
Format:
projects/{project}/locations/{location}
-
(::String) — Required. The resource name of the Location into which to upload the Model.
Format:
projects/{project}/locations/{location}
#parent_model
def parent_model() -> ::String
- (::String) — Optional. The resource name of the model into which to upload the version. Only specify this field when uploading a new version.
#parent_model=
def parent_model=(value) -> ::String
- value (::String) — Optional. The resource name of the model into which to upload the version. Only specify this field when uploading a new version.
- (::String) — Optional. The resource name of the model into which to upload the version. Only specify this field when uploading a new version.
#service_account
def service_account() -> ::String
-
(::String) — Optional. The user-provided custom service account to use to do the model
upload. If empty, Vertex AI Service
Agent
will be used to access resources needed to upload the model. This account
must belong to the target project where the model is uploaded to, i.e., the
project specified in the
parent
field of this request and have necessary read permissions (to Google Cloud Storage, Artifact Registry, etc.).
#service_account=
def service_account=(value) -> ::String
-
value (::String) — Optional. The user-provided custom service account to use to do the model
upload. If empty, Vertex AI Service
Agent
will be used to access resources needed to upload the model. This account
must belong to the target project where the model is uploaded to, i.e., the
project specified in the
parent
field of this request and have necessary read permissions (to Google Cloud Storage, Artifact Registry, etc.).
-
(::String) — Optional. The user-provided custom service account to use to do the model
upload. If empty, Vertex AI Service
Agent
will be used to access resources needed to upload the model. This account
must belong to the target project where the model is uploaded to, i.e., the
project specified in the
parent
field of this request and have necessary read permissions (to Google Cloud Storage, Artifact Registry, etc.).