public static final class ModelMonitoringObjectiveSpec.Builder extends GeneratedMessageV3.Builder<ModelMonitoringObjectiveSpec.Builder> implements ModelMonitoringObjectiveSpecOrBuilder
Monitoring objectives spec.
Protobuf type google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec
Inherited Members
com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)
com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)
com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)
com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)
com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)
Static Methods
public static final Descriptors.Descriptor getDescriptor()
Methods
public ModelMonitoringObjectiveSpec.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Overrides
public ModelMonitoringObjectiveSpec build()
public ModelMonitoringObjectiveSpec buildPartial()
public ModelMonitoringObjectiveSpec.Builder clear()
Overrides
public ModelMonitoringObjectiveSpec.Builder clearBaselineDataset()
Baseline dataset.
It could be the training dataset or production serving dataset from a
previous period.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;
public ModelMonitoringObjectiveSpec.Builder clearExplanationSpec()
The explanation spec.
This spec is required when the objectives spec includes feature attribution
objectives.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;
public ModelMonitoringObjectiveSpec.Builder clearField(Descriptors.FieldDescriptor field)
Overrides
public ModelMonitoringObjectiveSpec.Builder clearObjective()
public ModelMonitoringObjectiveSpec.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Overrides
public ModelMonitoringObjectiveSpec.Builder clearTabularObjective()
Tabular monitoring objective.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;
public ModelMonitoringObjectiveSpec.Builder clearTargetDataset()
Target dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;
public ModelMonitoringObjectiveSpec.Builder clone()
Overrides
public ModelMonitoringInput getBaselineDataset()
Baseline dataset.
It could be the training dataset or production serving dataset from a
previous period.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;
public ModelMonitoringInput.Builder getBaselineDatasetBuilder()
Baseline dataset.
It could be the training dataset or production serving dataset from a
previous period.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;
public ModelMonitoringInputOrBuilder getBaselineDatasetOrBuilder()
Baseline dataset.
It could be the training dataset or production serving dataset from a
previous period.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;
public ModelMonitoringObjectiveSpec getDefaultInstanceForType()
public Descriptors.Descriptor getDescriptorForType()
Overrides
public ExplanationSpec getExplanationSpec()
The explanation spec.
This spec is required when the objectives spec includes feature attribution
objectives.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;
public ExplanationSpec.Builder getExplanationSpecBuilder()
The explanation spec.
This spec is required when the objectives spec includes feature attribution
objectives.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;
public ExplanationSpecOrBuilder getExplanationSpecOrBuilder()
The explanation spec.
This spec is required when the objectives spec includes feature attribution
objectives.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;
public ModelMonitoringObjectiveSpec.ObjectiveCase getObjectiveCase()
public ModelMonitoringObjectiveSpec.TabularObjective getTabularObjective()
Tabular monitoring objective.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;
public ModelMonitoringObjectiveSpec.TabularObjective.Builder getTabularObjectiveBuilder()
Tabular monitoring objective.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;
public ModelMonitoringObjectiveSpec.TabularObjectiveOrBuilder getTabularObjectiveOrBuilder()
Tabular monitoring objective.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;
public ModelMonitoringInput getTargetDataset()
Target dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;
public ModelMonitoringInput.Builder getTargetDatasetBuilder()
Target dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;
public ModelMonitoringInputOrBuilder getTargetDatasetOrBuilder()
Target dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;
public boolean hasBaselineDataset()
Baseline dataset.
It could be the training dataset or production serving dataset from a
previous period.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;
| Returns |
| Type |
Description |
boolean |
Whether the baselineDataset field is set.
|
public boolean hasExplanationSpec()
The explanation spec.
This spec is required when the objectives spec includes feature attribution
objectives.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;
| Returns |
| Type |
Description |
boolean |
Whether the explanationSpec field is set.
|
public boolean hasTabularObjective()
Tabular monitoring objective.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;
| Returns |
| Type |
Description |
boolean |
Whether the tabularObjective field is set.
|
public boolean hasTargetDataset()
Target dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;
| Returns |
| Type |
Description |
boolean |
Whether the targetDataset field is set.
|
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Overrides
public final boolean isInitialized()
Overrides
public ModelMonitoringObjectiveSpec.Builder mergeBaselineDataset(ModelMonitoringInput value)
Baseline dataset.
It could be the training dataset or production serving dataset from a
previous period.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;
public ModelMonitoringObjectiveSpec.Builder mergeExplanationSpec(ExplanationSpec value)
The explanation spec.
This spec is required when the objectives spec includes feature attribution
objectives.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;
public ModelMonitoringObjectiveSpec.Builder mergeFrom(ModelMonitoringObjectiveSpec other)
public ModelMonitoringObjectiveSpec.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Overrides
public ModelMonitoringObjectiveSpec.Builder mergeFrom(Message other)
| Parameter |
| Name |
Description |
other |
Message
|
Overrides
public ModelMonitoringObjectiveSpec.Builder mergeTabularObjective(ModelMonitoringObjectiveSpec.TabularObjective value)
Tabular monitoring objective.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;
public ModelMonitoringObjectiveSpec.Builder mergeTargetDataset(ModelMonitoringInput value)
Target dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;
public final ModelMonitoringObjectiveSpec.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Overrides
public ModelMonitoringObjectiveSpec.Builder setBaselineDataset(ModelMonitoringInput value)
Baseline dataset.
It could be the training dataset or production serving dataset from a
previous period.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;
public ModelMonitoringObjectiveSpec.Builder setBaselineDataset(ModelMonitoringInput.Builder builderForValue)
Baseline dataset.
It could be the training dataset or production serving dataset from a
previous period.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;
public ModelMonitoringObjectiveSpec.Builder setExplanationSpec(ExplanationSpec value)
The explanation spec.
This spec is required when the objectives spec includes feature attribution
objectives.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;
public ModelMonitoringObjectiveSpec.Builder setExplanationSpec(ExplanationSpec.Builder builderForValue)
The explanation spec.
This spec is required when the objectives spec includes feature attribution
objectives.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;
public ModelMonitoringObjectiveSpec.Builder setField(Descriptors.FieldDescriptor field, Object value)
Overrides
public ModelMonitoringObjectiveSpec.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Overrides
public ModelMonitoringObjectiveSpec.Builder setTabularObjective(ModelMonitoringObjectiveSpec.TabularObjective value)
Tabular monitoring objective.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;
public ModelMonitoringObjectiveSpec.Builder setTabularObjective(ModelMonitoringObjectiveSpec.TabularObjective.Builder builderForValue)
Tabular monitoring objective.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;
public ModelMonitoringObjectiveSpec.Builder setTargetDataset(ModelMonitoringInput value)
Target dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;
public ModelMonitoringObjectiveSpec.Builder setTargetDataset(ModelMonitoringInput.Builder builderForValue)
Target dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;
public final ModelMonitoringObjectiveSpec.Builder setUnknownFields(UnknownFieldSet unknownFields)
Overrides
