Package com.google.cloud.aiplatform.v1

Class ModelEvaluationSlice.Slice.SliceSpec.SliceConfig.Builder

  • All Implemented Interfaces:
    ModelEvaluationSlice.Slice.SliceSpec.SliceConfigOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
    Enclosing class:
    ModelEvaluationSlice.Slice.SliceSpec.SliceConfig
    public static final class ModelEvaluationSlice.Slice.SliceSpec.SliceConfig.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluationSlice.Slice.SliceSpec.SliceConfig.Builder>
implements ModelEvaluationSlice.Slice.SliceSpec.SliceConfigOrBuilder
     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 `all_values` 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": { "float_value": 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": { "string_value": "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": {"all_values": { "value": true } } }

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

 Example 5:

     {
       "country": { "all_values": { "value": true } },
       "zip_code": { "value": { "float_value": 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.
    Protobuf type google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.SliceSpec.SliceConfig