SliceSpec

Specification for how the data should be sliced.

Fields
configs map (key: string, value: object (SliceConfig))

Mapping configuration for this SliceSpec. The key is the name of the feature. By default, the key will be prefixed by "instance" as a dictionary prefix for Vertex Batch Predictions output format.

JSON representation 
{
  "configs": {
    string: {
      object (SliceConfig)
    },
    ...
  }
}

SliceConfig

Specification message containing the config for this SliceSpec. When kind is selected as value and/or range, only a single slice will be computed. When allValues is present, a separate slice will be computed for each possible label/value for the corresponding key in config. Examples, with feature zip_code with values 12345, 23334, 88888 and feature country with values "US", "Canada", "Mexico" in the dataset:

Example 1:

{
  "zip_code": { "value": { "floatValue": 12345.0 } }
}

A single slice for any data with zip_code 12345 in the dataset.

Example 2:

{
  "zip_code": { "range": { "low": 12345, "high": 20000 } }
}

A single slice containing data where the zip_codes between 12345 and 20000 For this example, data with the zip_code of 12345 will be in this slice.

Example 3:

{
  "zip_code": { "range": { "low": 10000, "high": 20000 } },
  "country": { "value": { "stringValue": "US" } }
}

A single slice containing data where the zip_codes between 10000 and 20000 has the country "US". For this example, data with the zip_code of 12345 and country "US" will be in this slice.

Example 4:

{ "country": {"allValues": { "value": true } } }

Three slices are computed, one for each unique country in the dataset.

Example 5:

{
  "country": { "allValues": { "value": true } },
  "zip_code": { "value": { "floatValue": 12345.0 } }
}

Three slices are computed, one for each unique country in the dataset where the zip_code is also 12345. For this example, data with zip_code 12345 and country "US" will be in one slice, zip_code 12345 and country "Canada" in another slice, and zip_code 12345 and country "Mexico" in another slice, totaling 3 slices.

Fields

Union field kind.

kind can be only one of the following:

value object (Value)

A unique specific value for a given feature. Example: { "value": { "stringValue": "12345" } }

range object (Range)

A range of values for a numerical feature. Example: {"range":{"low":10000.0,"high":50000.0}} will capture 12345 and 23334 in the slice.

allValues boolean

If allValues is set to true, then all possible labels of the keyed feature will have another slice computed. Example: {"allValues":{"value":true}}

JSON representation 
{

  // Union field kind can be only one of the following:
  "value": {
    object (Value)
  },
  "range": {
    object (Range)
  },
  "allValues": boolean
  // End of list of possible types for union field kind.
}

Value

Single value that supports strings and floats.

Fields

Union field kind.

kind can be only one of the following:

stringValue string

String type.

floatValue number

Float type.

JSON representation 
{

  // Union field kind can be only one of the following:
  "stringValue": string,
  "floatValue": number
  // End of list of possible types for union field kind.
}

Range

A range of values for slice(s). low is inclusive, high is exclusive.

Fields
low number

Inclusive low value for the range.

high number

Exclusive high value for the range.

JSON representation 
{
  "low": number,
  "high": number
}