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Method: projects.locations.tensorboards.experiments.runs.timeSeries.patch

Updates a TensorboardTimeSeries.

HTTP request

PATCH https://{service-endpoint}/v1beta1/{tensorboardTimeSeries.name}

Where {service-endpoint} is one of the supported service endpoints.

Path parameters

Parameters

Parameters
`tensorboardTimeSeries.name`	`string` Output only. name of the TensorboardTimeSeries.

tensorboardTimeSeries.name

string

Output only. name of the TensorboardTimeSeries.

Query parameters

Parameters

Parameters
`updateMask`	`string (FieldMask format)` Required. Field mask is used to specify the fields to be overwritten in the TensorboardTimeSeries resource by the update. The fields specified in the updateMask are relative to the resource, not the full request. A field is overwritten if it's in the mask. If the user does not provide a mask then all fields are overwritten if new values are specified. This is a comma-separated list of fully qualified names of fields. Example: `"user.displayName,photo"`.

updateMask

string (FieldMask format)

Required. Field mask is used to specify the fields to be overwritten in the TensorboardTimeSeries resource by the update. The fields specified in the updateMask are relative to the resource, not the full request. A field is overwritten if it's in the mask. If the user does not provide a mask then all fields are overwritten if new values are specified.

This is a comma-separated list of fully qualified names of fields. Example: "user.displayName,photo".

Request body

The request body contains an instance of TensorboardTimeSeries.

Response body

If successful, the response body contains an instance of TensorboardTimeSeries.

Authorization scopes

Requires the following OAuth scope:

https://www.googleapis.com/auth/cloud-platform

For more information, see the Authentication Overview.

IAM Permissions

Requires the following IAM permission on the name resource:

aiplatform.tensorboardTimeSeries.update

For more information, see the IAM documentation.