Try Gemini 1.5 Pro, our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window. Try Gemini 1.5 Pro, our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window.

TimeSeriesData

All the data stored in a TensorboardTimeSeries.

JSON representation
{ "tensorboardTimeSeriesId": string, "valueType": enum (`ValueType`), "values": [ { object (`TimeSeriesDataPoint`) } ] }

Fields

Fields
`tensorboardTimeSeriesId`	`string` Required. The ID of the TensorboardTimeSeries, which will become the final component of the TensorboardTimeSeries' resource name
`valueType`	`enum (ValueType)` Required. Immutable. The value type of this time series. All the values in this time series data must match this value type.
`values[]`	`object (TimeSeriesDataPoint)` Required. Data points in this time series.

tensorboardTimeSeriesId

string

Required. The ID of the TensorboardTimeSeries, which will become the final component of the TensorboardTimeSeries' resource name

valueType

enum (ValueType)

Required. Immutable. The value type of this time series. All the values in this time series data must match this value type.

values[]

object (TimeSeriesDataPoint)

Required. Data points in this time series.