patch method
- GoogleCloudMlV1Version request,
- String name, {
- String? updateMask,
- String? $fields,
Updates the specified Version resource.
Currently the only update-able fields are description
,
requestLoggingConfig
, autoScaling.minNodes
, and manualScaling.nodes
.
request
- The metadata request object.
Request parameters:
name
- Required. The name of the model.
Value must have pattern
^projects/\[^/\]+/models/\[^/\]+/versions/\[^/\]+$
.
updateMask
- Required. Specifies the path, relative to Version
, of the
field to update. Must be present and non-empty. For example, to change the
description of a version to "foo", the update_mask
parameter would be
specified as description
, and the PATCH
request body would specify the
new value, as follows: { "description": "foo" }
Currently the only
supported update mask fields are description
, requestLoggingConfig
,
autoScaling.minNodes
, and manualScaling.nodes
. However, you can only
update manualScaling.nodes
if the version uses a [Compute Engine (N1)
machine type](/ml-engine/docs/machine-types-online-prediction).
$fields
- Selector specifying which fields to include in a partial
response.
Completes with a GoogleLongrunningOperation.
Completes with a commons.ApiRequestError if the API endpoint returned an error.
If the used http.Client
completes with an error when making a REST call,
this method will complete with the same error.
Implementation
async.Future<GoogleLongrunningOperation> patch(
GoogleCloudMlV1Version request,
core.String name, {
core.String? updateMask,
core.String? $fields,
}) async {
final body_ = convert.json.encode(request);
final queryParams_ = <core.String, core.List<core.String>>{
if (updateMask != null) 'updateMask': [updateMask],
if ($fields != null) 'fields': [$fields],
};
final url_ = 'v1/' + core.Uri.encodeFull('$name');
final response_ = await _requester.request(
url_,
'PATCH',
body: body_,
queryParams: queryParams_,
);
return GoogleLongrunningOperation.fromJson(
response_ as core.Map<core.String, core.dynamic>);
}