public sealed class ModelEvaluationSlice.Types.Slice.Types.SliceSpec.Types.SliceConfig : IMessage<ModelEvaluationSlice.Types.Slice.Types.SliceSpec.Types.SliceConfig>, IEquatable<ModelEvaluationSlice.Types.Slice.Types.SliceSpec.Types.SliceConfig>, IDeepCloneable<ModelEvaluationSlice.Types.Slice.Types.SliceSpec.Types.SliceConfig>, IBufferMessage, IMessageReference documentation and code samples for the Vertex AI v1beta1 API class ModelEvaluationSlice.Types.Slice.Types.SliceSpec.Types.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 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.
Implements
IMessageModelEvaluationSliceTypesSliceTypesSliceSpecTypesSliceConfig, IEquatableModelEvaluationSliceTypesSliceTypesSliceSpecTypesSliceConfig, IDeepCloneableModelEvaluationSliceTypesSliceTypesSliceSpecTypesSliceConfig, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Beta1Assembly
Google.Cloud.AIPlatform.V1Beta1.dll
Constructors
SliceConfig()
public SliceConfig()SliceConfig(SliceConfig)
public SliceConfig(ModelEvaluationSlice.Types.Slice.Types.SliceSpec.Types.SliceConfig other)| Parameter | |
|---|---|
| Name | Description |
other |
ModelEvaluationSliceTypesSliceTypesSliceSpecTypesSliceConfig |
Properties
AllValues
public bool? AllValues { get; set; }If all_values is set to true, then all possible labels of the keyed
feature will have another slice computed.
Example: {"all_values":{"value":true}}
| Property Value | |
|---|---|
| Type | Description |
bool |
|
KindCase
public ModelEvaluationSlice.Types.Slice.Types.SliceSpec.Types.SliceConfig.KindOneofCase KindCase { get; }| Property Value | |
|---|---|
| Type | Description |
ModelEvaluationSliceTypesSliceTypesSliceSpecTypesSliceConfigKindOneofCase |
|
Range
public ModelEvaluationSlice.Types.Slice.Types.SliceSpec.Types.Range Range { get; set; }A range of values for a numerical feature.
Example: {"range":{"low":10000.0,"high":50000.0}}
will capture 12345 and 23334 in the slice.
| Property Value | |
|---|---|
| Type | Description |
ModelEvaluationSliceTypesSliceTypesSliceSpecTypesRange |
|
Value
public ModelEvaluationSlice.Types.Slice.Types.SliceSpec.Types.Value Value { get; set; }A unique specific value for a given feature.
Example: { "value": { "string_value": "12345" } }
| Property Value | |
|---|---|
| Type | Description |
ModelEvaluationSliceTypesSliceTypesSliceSpecTypesValue |
|