Google Cloud Ai Platform V1 Client - Class UpdateTensorboardTimeSeriesRequest (0.25.0)

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class UpdateTensorboardTimeSeriesRequest.

Request message for TensorboardService.UpdateTensorboardTimeSeries.

Generated from protobuf message google.cloud.aiplatform.v1.UpdateTensorboardTimeSeriesRequest

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

__construct

Constructor.

Parameters
Name	Description
`data`	`array` Optional. Data for populating the Message object.
`↳ update_mask`	`Google\Protobuf\FieldMask` Required. Field mask is used to specify the fields to be overwritten in the TensorboardTimeSeries resource by the update. The fields specified in the update_mask 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.
`↳ tensorboard_time_series`	`Google\Cloud\AIPlatform\V1\TensorboardTimeSeries` Required. The TensorboardTimeSeries' `name` field is used to identify the TensorboardTimeSeries to be updated. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`

getUpdateMask

Required. Field mask is used to specify the fields to be overwritten in the TensorboardTimeSeries resource by the update.

The fields specified in the update_mask 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.

Returns
Type	Description
`Google\Protobuf\FieldMask\|null`

hasUpdateMask

clearUpdateMask

setUpdateMask

Required. Field mask is used to specify the fields to be overwritten in the TensorboardTimeSeries resource by the update.

Parameter
Name	Description
`var`	`Google\Protobuf\FieldMask`

Returns
Type	Description
`$this`

getTensorboardTimeSeries

Required. The TensorboardTimeSeries' name field is used to identify the TensorboardTimeSeries to be updated.

Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\TensorboardTimeSeries\|null`

hasTensorboardTimeSeries

clearTensorboardTimeSeries

setTensorboardTimeSeries

Required. The TensorboardTimeSeries' name field is used to identify the TensorboardTimeSeries to be updated.

Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\TensorboardTimeSeries`

Returns
Type	Description
`$this`

static::build

Parameters
Name	Description
`tensorboardTimeSeries`	`Google\Cloud\AIPlatform\V1\TensorboardTimeSeries` Required. The TensorboardTimeSeries' `name` field is used to identify the TensorboardTimeSeries to be updated. Format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}`
`updateMask`	`Google\Protobuf\FieldMask` Required. Field mask is used to specify the fields to be overwritten in the TensorboardTimeSeries resource by the update. The fields specified in the update_mask 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.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\UpdateTensorboardTimeSeriesRequest`