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

Exports a TensorboardTimeSeries' data. data is returned in paginated responses.

Endpoint

post https://{endpoint}/v1/{tensorboardTimeSeries}:exportTensorboardTimeSeries

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

Path parameters

tensorboardTimeSeries string

Required. The resource name of the TensorboardTimeSeries to export data from. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{timeSeries}

Request body

The request body contains data with the following structure:

Fields
filter string

Exports the TensorboardTimeSeries' data that match the filter expression.

pageSize integer

The maximum number of data points to return per page. The default pageSize is 1000. Values must be between 1 and 10000. Values above 10000 are coerced to 10000.

pageToken string

A page token, received from a previous timeSeries.exportTensorboardTimeSeries call. Provide this to retrieve the subsequent page.

When paginating, all other parameters provided to timeSeries.exportTensorboardTimeSeries must match the call that provided the page token.

orderBy string

Field to use to sort the TensorboardTimeSeries' data. By default, TensorboardTimeSeries' data is returned in a pseudo random order.

Response body

Response message for TensorboardService.ExportTensorboardTimeSeriesData.

If successful, the response body contains data with the following structure:

Fields
timeSeriesDataPoints[] object (TimeSeriesDataPoint)

The returned time series data points.

nextPageToken string

A token, which can be sent as pageToken to retrieve the next page. If this field is omitted, there are no subsequent pages.

JSON representation 
{
  "timeSeriesDataPoints": [
    {
      object (TimeSeriesDataPoint)
    }
  ],
  "nextPageToken": string
}