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.

FeatureValue

value for a feature.

JSON representation

JSON representation
{ "metadata": { object (`Metadata`) }, // Union field `value` can be only one of the following: "boolValue": boolean, "doubleValue": number, "int64Value": string, "stringValue": string, "boolArrayValue": { object (`BoolArray`) }, "doubleArrayValue": { object (`DoubleArray`) }, "int64ArrayValue": { object (`Int64Array`) }, "stringArrayValue": { object (`StringArray`) }, "bytesValue": string // End of list of possible types for union field `value`. }

{
  "metadata": {
    object (Metadata)
  },

  // Union field value can be only one of the following:
  "boolValue": boolean,
  "doubleValue": number,
  "int64Value": string,
  "stringValue": string,
  "boolArrayValue": {
    object (BoolArray)
  },
  "doubleArrayValue": {
    object (DoubleArray)
  },
  "int64ArrayValue": {
    object (Int64Array)
  },
  "stringArrayValue": {
    object (StringArray)
  },
  "bytesValue": string
  // End of list of possible types for union field value.
}

Fields
`metadata`	`object (Metadata)` metadata of feature value.
Union field `value`. Value for the feature. `value` can be only one of the following:
`boolValue`	`boolean` Bool type feature value.
`doubleValue`	`number` Double type feature value.
`int64Value`	`string (int64 format)` Int64 feature value.
`stringValue`	`string` String feature value.
`boolArrayValue`	`object (BoolArray)` A list of bool type feature value.
`doubleArrayValue`	`object (DoubleArray)` A list of double type feature value.
`int64ArrayValue`	`object (Int64Array)` A list of int64 type feature value.
`stringArrayValue`	`object (StringArray)` A list of string type feature value.
`bytesValue`	`string (bytes format)` Bytes feature value. A base64-encoded string.

BoolArray

A list of boolean values.

JSON representation
{ "values": [ boolean ] }

Fields

Fields
`values[]`	`boolean` A list of bool values.

values[]

boolean

A list of bool values.

DoubleArray

A list of double values.

JSON representation
{ "values": [ number ] }

Fields

Fields
`values[]`	`number` A list of double values.

values[]

number

A list of double values.

Int64Array

A list of int64 values.

JSON representation
{ "values": [ string ] }

Fields

Fields
`values[]`	`string (int64 format)` A list of int64 values.

values[]

string (int64 format)

A list of int64 values.

StringArray

A list of string values.

JSON representation
{ "values": [ string ] }

Fields

Fields
`values[]`	`string` A list of string values.

values[]

string

A list of string values.

Metadata

metadata of feature value.

JSON representation
{ "generateTime": string }

Fields

generateTime

string (Timestamp format)

feature generation timestamp. Typically, it is provided by user at feature ingestion time. If not, feature store will use the system timestamp when the data is ingested into feature store. For streaming ingestion, the time, aligned by days, must be no older than five years (1825 days) and no later than one year (366 days) in the future.

A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".