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public static final class ModelEvaluationSlice.Builder extends GeneratedMessageV3.Builder<ModelEvaluationSlice.Builder> implements ModelEvaluationSliceOrBuilder
A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.
Protobuf type google.cloud.aiplatform.v1beta1.ModelEvaluationSlice
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelEvaluationSlice.BuilderImplements
ModelEvaluationSliceOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns | |
---|---|
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ModelEvaluationSlice.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
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Name | Description |
field |
FieldDescriptor |
value |
Object |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
build()
public ModelEvaluationSlice build()
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice |
buildPartial()
public ModelEvaluationSlice buildPartial()
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice |
clear()
public ModelEvaluationSlice.Builder clear()
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
clearCreateTime()
public ModelEvaluationSlice.Builder clearCreateTime()
Output only. Timestamp when this ModelEvaluationSlice was created.
.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
clearField(Descriptors.FieldDescriptor field)
public ModelEvaluationSlice.Builder clearField(Descriptors.FieldDescriptor field)
Parameter | |
---|---|
Name | Description |
field |
FieldDescriptor |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
clearMetrics()
public ModelEvaluationSlice.Builder clearMetrics()
Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri
.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
clearMetricsSchemaUri()
public ModelEvaluationSlice.Builder clearMetricsSchemaUri()
Output only. Points to a YAML file stored on Google Cloud Storage describing the metrics of this ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 Schema Object.
string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
This builder for chaining. |
clearModelExplanation()
public ModelEvaluationSlice.Builder clearModelExplanation()
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
clearName()
public ModelEvaluationSlice.Builder clearName()
Output only. The resource name of the ModelEvaluationSlice.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public ModelEvaluationSlice.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter | |
---|---|
Name | Description |
oneof |
OneofDescriptor |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
clearSlice()
public ModelEvaluationSlice.Builder clearSlice()
Output only. The slice of the test data that is used to evaluate the Model.
.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
clone()
public ModelEvaluationSlice.Builder clone()
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
getCreateTime()
public Timestamp getCreateTime()
Output only. Timestamp when this ModelEvaluationSlice was created.
.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
Timestamp |
The createTime. |
getCreateTimeBuilder()
public Timestamp.Builder getCreateTimeBuilder()
Output only. Timestamp when this ModelEvaluationSlice was created.
.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
Builder |
getCreateTimeOrBuilder()
public TimestampOrBuilder getCreateTimeOrBuilder()
Output only. Timestamp when this ModelEvaluationSlice was created.
.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
TimestampOrBuilder |
getDefaultInstanceForType()
public ModelEvaluationSlice getDefaultInstanceForType()
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns | |
---|---|
Type | Description |
Descriptor |
getMetrics()
public Value getMetrics()
Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri
.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
Value |
The metrics. |
getMetricsBuilder()
public Value.Builder getMetricsBuilder()
Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri
.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
Builder |
getMetricsOrBuilder()
public ValueOrBuilder getMetricsOrBuilder()
Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri
.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
ValueOrBuilder |
getMetricsSchemaUri()
public String getMetricsSchemaUri()
Output only. Points to a YAML file stored on Google Cloud Storage describing the metrics of this ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 Schema Object.
string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
String |
The metricsSchemaUri. |
getMetricsSchemaUriBytes()
public ByteString getMetricsSchemaUriBytes()
Output only. Points to a YAML file stored on Google Cloud Storage describing the metrics of this ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 Schema Object.
string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
ByteString |
The bytes for metricsSchemaUri. |
getModelExplanation()
public ModelExplanation getModelExplanation()
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
ModelExplanation |
The modelExplanation. |
getModelExplanationBuilder()
public ModelExplanation.Builder getModelExplanationBuilder()
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
ModelExplanation.Builder |
getModelExplanationOrBuilder()
public ModelExplanationOrBuilder getModelExplanationOrBuilder()
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
ModelExplanationOrBuilder |
getName()
public String getName()
Output only. The resource name of the ModelEvaluationSlice.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
String |
The name. |
getNameBytes()
public ByteString getNameBytes()
Output only. The resource name of the ModelEvaluationSlice.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
ByteString |
The bytes for name. |
getSlice()
public ModelEvaluationSlice.Slice getSlice()
Output only. The slice of the test data that is used to evaluate the Model.
.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Slice |
The slice. |
getSliceBuilder()
public ModelEvaluationSlice.Slice.Builder getSliceBuilder()
Output only. The slice of the test data that is used to evaluate the Model.
.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Slice.Builder |
getSliceOrBuilder()
public ModelEvaluationSlice.SliceOrBuilder getSliceOrBuilder()
Output only. The slice of the test data that is used to evaluate the Model.
.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.SliceOrBuilder |
hasCreateTime()
public boolean hasCreateTime()
Output only. Timestamp when this ModelEvaluationSlice was created.
.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
boolean |
Whether the createTime field is set. |
hasMetrics()
public boolean hasMetrics()
Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri
.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
boolean |
Whether the metrics field is set. |
hasModelExplanation()
public boolean hasModelExplanation()
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
boolean |
Whether the modelExplanation field is set. |
hasSlice()
public boolean hasSlice()
Output only. The slice of the test data that is used to evaluate the Model.
.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
Returns | |
---|---|
Type | Description |
boolean |
Whether the slice field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns | |
---|---|
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Returns | |
---|---|
Type | Description |
boolean |
mergeCreateTime(Timestamp value)
public ModelEvaluationSlice.Builder mergeCreateTime(Timestamp value)
Output only. Timestamp when this ModelEvaluationSlice was created.
.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value |
Timestamp |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
mergeFrom(ModelEvaluationSlice other)
public ModelEvaluationSlice.Builder mergeFrom(ModelEvaluationSlice other)
Parameter | |
---|---|
Name | Description |
other |
ModelEvaluationSlice |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public ModelEvaluationSlice.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
Exceptions | |
---|---|
Type | Description |
IOException |
mergeFrom(Message other)
public ModelEvaluationSlice.Builder mergeFrom(Message other)
Parameter | |
---|---|
Name | Description |
other |
Message |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
mergeMetrics(Value value)
public ModelEvaluationSlice.Builder mergeMetrics(Value value)
Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri
.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value |
Value |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
mergeModelExplanation(ModelExplanation value)
public ModelEvaluationSlice.Builder mergeModelExplanation(ModelExplanation value)
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value |
ModelExplanation |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
mergeSlice(ModelEvaluationSlice.Slice value)
public ModelEvaluationSlice.Builder mergeSlice(ModelEvaluationSlice.Slice value)
Output only. The slice of the test data that is used to evaluate the Model.
.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value |
ModelEvaluationSlice.Slice |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ModelEvaluationSlice.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields |
UnknownFieldSet |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
setCreateTime(Timestamp value)
public ModelEvaluationSlice.Builder setCreateTime(Timestamp value)
Output only. Timestamp when this ModelEvaluationSlice was created.
.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value |
Timestamp |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
setCreateTime(Timestamp.Builder builderForValue)
public ModelEvaluationSlice.Builder setCreateTime(Timestamp.Builder builderForValue)
Output only. Timestamp when this ModelEvaluationSlice was created.
.google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
builderForValue |
Builder |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public ModelEvaluationSlice.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
value |
Object |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
setMetrics(Value value)
public ModelEvaluationSlice.Builder setMetrics(Value value)
Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri
.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value |
Value |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
setMetrics(Value.Builder builderForValue)
public ModelEvaluationSlice.Builder setMetrics(Value.Builder builderForValue)
Output only. Sliced evaluation metrics of the Model. The schema of the metrics is stored in metrics_schema_uri
.google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
builderForValue |
Builder |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
setMetricsSchemaUri(String value)
public ModelEvaluationSlice.Builder setMetricsSchemaUri(String value)
Output only. Points to a YAML file stored on Google Cloud Storage describing the metrics of this ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 Schema Object.
string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value |
String The metricsSchemaUri to set. |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
This builder for chaining. |
setMetricsSchemaUriBytes(ByteString value)
public ModelEvaluationSlice.Builder setMetricsSchemaUriBytes(ByteString value)
Output only. Points to a YAML file stored on Google Cloud Storage describing the metrics of this ModelEvaluationSlice. The schema is defined as an OpenAPI 3.0.2 Schema Object.
string metrics_schema_uri = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value |
ByteString The bytes for metricsSchemaUri to set. |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
This builder for chaining. |
setModelExplanation(ModelExplanation value)
public ModelEvaluationSlice.Builder setModelExplanation(ModelExplanation value)
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value |
ModelExplanation |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
setModelExplanation(ModelExplanation.Builder builderForValue)
public ModelEvaluationSlice.Builder setModelExplanation(ModelExplanation.Builder builderForValue)
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
builderForValue |
ModelExplanation.Builder |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
setName(String value)
public ModelEvaluationSlice.Builder setName(String value)
Output only. The resource name of the ModelEvaluationSlice.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value |
String The name to set. |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
This builder for chaining. |
setNameBytes(ByteString value)
public ModelEvaluationSlice.Builder setNameBytes(ByteString value)
Output only. The resource name of the ModelEvaluationSlice.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value |
ByteString The bytes for name to set. |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
This builder for chaining. |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ModelEvaluationSlice.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters | |
---|---|
Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
setSlice(ModelEvaluationSlice.Slice value)
public ModelEvaluationSlice.Builder setSlice(ModelEvaluationSlice.Slice value)
Output only. The slice of the test data that is used to evaluate the Model.
.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
value |
ModelEvaluationSlice.Slice |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
setSlice(ModelEvaluationSlice.Slice.Builder builderForValue)
public ModelEvaluationSlice.Builder setSlice(ModelEvaluationSlice.Slice.Builder builderForValue)
Output only. The slice of the test data that is used to evaluate the Model.
.google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
Parameter | |
---|---|
Name | Description |
builderForValue |
ModelEvaluationSlice.Slice.Builder |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final ModelEvaluationSlice.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields |
UnknownFieldSet |
Returns | |
---|---|
Type | Description |
ModelEvaluationSlice.Builder |