public final class EvaluationJob extends GeneratedMessageV3 implements EvaluationJobOrBuilder
Defines an evaluation job that runs periodically to generate
Evaluations. Creating an evaluation
job is the starting point
for using continuous evaluation.
Protobuf type google.cloud.datalabeling.v1beta1.EvaluationJob
Inherited Members
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)
Static Fields
ANNOTATION_SPEC_SET_FIELD_NUMBER
public static final int ANNOTATION_SPEC_SET_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
ATTEMPTS_FIELD_NUMBER
public static final int ATTEMPTS_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
CREATE_TIME_FIELD_NUMBER
public static final int CREATE_TIME_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
DESCRIPTION_FIELD_NUMBER
public static final int DESCRIPTION_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
EVALUATION_JOB_CONFIG_FIELD_NUMBER
public static final int EVALUATION_JOB_CONFIG_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
LABEL_MISSING_GROUND_TRUTH_FIELD_NUMBER
public static final int LABEL_MISSING_GROUND_TRUTH_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
MODEL_VERSION_FIELD_NUMBER
public static final int MODEL_VERSION_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
NAME_FIELD_NUMBER
public static final int NAME_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
SCHEDULE_FIELD_NUMBER
public static final int SCHEDULE_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
STATE_FIELD_NUMBER
public static final int STATE_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
Static Methods
getDefaultInstance()
public static EvaluationJob getDefaultInstance()
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
newBuilder()
public static EvaluationJob.Builder newBuilder()
newBuilder(EvaluationJob prototype)
public static EvaluationJob.Builder newBuilder(EvaluationJob prototype)
public static EvaluationJob parseDelimitedFrom(InputStream input)
public static EvaluationJob parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
parseFrom(byte[] data)
public static EvaluationJob parseFrom(byte[] data)
| Parameter |
|---|
| Name | Description |
data | byte[]
|
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static EvaluationJob parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
parseFrom(ByteString data)
public static EvaluationJob parseFrom(ByteString data)
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static EvaluationJob parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static EvaluationJob parseFrom(CodedInputStream input)
public static EvaluationJob parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static EvaluationJob parseFrom(InputStream input)
public static EvaluationJob parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
parseFrom(ByteBuffer data)
public static EvaluationJob parseFrom(ByteBuffer data)
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static EvaluationJob parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
parser()
public static Parser<EvaluationJob> parser()
Methods
equals(Object obj)
public boolean equals(Object obj)
| Parameter |
|---|
| Name | Description |
obj | Object
|
Overrides
getAnnotationSpecSet()
public String getAnnotationSpecSet()
Required. Name of the AnnotationSpecSet describing all the
labels that your machine learning model outputs. You must create this
resource before you create an evaluation job and provide its name in the
following format:
"projects/<var>{project_id}</var>/annotationSpecSets/<var>{annotation_spec_set_id}</var>"
string annotation_spec_set = 7;
| Returns |
|---|
| Type | Description |
String | The annotationSpecSet.
|
getAnnotationSpecSetBytes()
public ByteString getAnnotationSpecSetBytes()
Required. Name of the AnnotationSpecSet describing all the
labels that your machine learning model outputs. You must create this
resource before you create an evaluation job and provide its name in the
following format:
"projects/<var>{project_id}</var>/annotationSpecSets/<var>{annotation_spec_set_id}</var>"
string annotation_spec_set = 7;
| Returns |
|---|
| Type | Description |
ByteString | The bytes for annotationSpecSet.
|
getAttempts(int index)
public Attempt getAttempts(int index)
Output only. Every time the evaluation job runs and an error occurs, the
failed attempt is appended to this array.
repeated .google.cloud.datalabeling.v1beta1.Attempt attempts = 9;
| Parameter |
|---|
| Name | Description |
index | int
|
getAttemptsCount()
public int getAttemptsCount()
Output only. Every time the evaluation job runs and an error occurs, the
failed attempt is appended to this array.
repeated .google.cloud.datalabeling.v1beta1.Attempt attempts = 9;
| Returns |
|---|
| Type | Description |
int | |
getAttemptsList()
public List<Attempt> getAttemptsList()
Output only. Every time the evaluation job runs and an error occurs, the
failed attempt is appended to this array.
repeated .google.cloud.datalabeling.v1beta1.Attempt attempts = 9;
getAttemptsOrBuilder(int index)
public AttemptOrBuilder getAttemptsOrBuilder(int index)
Output only. Every time the evaluation job runs and an error occurs, the
failed attempt is appended to this array.
repeated .google.cloud.datalabeling.v1beta1.Attempt attempts = 9;
| Parameter |
|---|
| Name | Description |
index | int
|
getAttemptsOrBuilderList()
public List<? extends AttemptOrBuilder> getAttemptsOrBuilderList()
Output only. Every time the evaluation job runs and an error occurs, the
failed attempt is appended to this array.
repeated .google.cloud.datalabeling.v1beta1.Attempt attempts = 9;
| Returns |
|---|
| Type | Description |
List<? extends com.google.cloud.datalabeling.v1beta1.AttemptOrBuilder> | |
getCreateTime()
public Timestamp getCreateTime()
Output only. Timestamp of when this evaluation job was created.
.google.protobuf.Timestamp create_time = 10;
| Returns |
|---|
| Type | Description |
Timestamp | The createTime.
|
getCreateTimeOrBuilder()
public TimestampOrBuilder getCreateTimeOrBuilder()
Output only. Timestamp of when this evaluation job was created.
.google.protobuf.Timestamp create_time = 10;
getDefaultInstanceForType()
public EvaluationJob getDefaultInstanceForType()
getDescription()
public String getDescription()
Required. Description of the job. The description can be up to 25,000
characters long.
string description = 2;
| Returns |
|---|
| Type | Description |
String | The description.
|
getDescriptionBytes()
public ByteString getDescriptionBytes()
Required. Description of the job. The description can be up to 25,000
characters long.
string description = 2;
| Returns |
|---|
| Type | Description |
ByteString | The bytes for description.
|
getEvaluationJobConfig()
public EvaluationJobConfig getEvaluationJobConfig()
Required. Configuration details for the evaluation job.
.google.cloud.datalabeling.v1beta1.EvaluationJobConfig evaluation_job_config = 6;
getEvaluationJobConfigOrBuilder()
public EvaluationJobConfigOrBuilder getEvaluationJobConfigOrBuilder()
Required. Configuration details for the evaluation job.
.google.cloud.datalabeling.v1beta1.EvaluationJobConfig evaluation_job_config = 6;
getLabelMissingGroundTruth()
public boolean getLabelMissingGroundTruth()
Required. Whether you want Data Labeling Service to provide ground truth
labels for prediction input. If you want the service to assign human
labelers to annotate your data, set this to true. If you want to provide
your own ground truth labels in the evaluation job's BigQuery table, set
this to false.
bool label_missing_ground_truth = 8;
| Returns |
|---|
| Type | Description |
boolean | The labelMissingGroundTruth.
|
getModelVersion()
public String getModelVersion()
Required. The AI Platform Prediction model
version to be evaluated. Prediction
input and output is sampled from this model version. When creating an
evaluation job, specify the model version in the following format:
"projects/<var>{project_id}</var>/models/<var>{model_name}</var>/versions/<var>{version_name}</var>"
There can only be one evaluation job per model version.
string model_version = 5;
| Returns |
|---|
| Type | Description |
String | The modelVersion.
|
getModelVersionBytes()
public ByteString getModelVersionBytes()
Required. The AI Platform Prediction model
version to be evaluated. Prediction
input and output is sampled from this model version. When creating an
evaluation job, specify the model version in the following format:
"projects/<var>{project_id}</var>/models/<var>{model_name}</var>/versions/<var>{version_name}</var>"
There can only be one evaluation job per model version.
string model_version = 5;
| Returns |
|---|
| Type | Description |
ByteString | The bytes for modelVersion.
|
getName()
Output only. After you create a job, Data Labeling Service assigns a name
to the job with the following format:
"projects/<var>{project_id}</var>/evaluationJobs/<var>{evaluation_job_id}</var>"
string name = 1;
| Returns |
|---|
| Type | Description |
String | The name.
|
getNameBytes()
public ByteString getNameBytes()
Output only. After you create a job, Data Labeling Service assigns a name
to the job with the following format:
"projects/<var>{project_id}</var>/evaluationJobs/<var>{evaluation_job_id}</var>"
string name = 1;
| Returns |
|---|
| Type | Description |
ByteString | The bytes for name.
|
getParserForType()
public Parser<EvaluationJob> getParserForType()
Overrides
getSchedule()
public String getSchedule()
Required. Describes the interval at which the job runs. This interval must
be at least 1 day, and it is rounded to the nearest day. For example, if
you specify a 50-hour interval, the job runs every 2 days.
You can provide the schedule in
crontab format or in an
English-like
format.
Regardless of what you specify, the job will run at 10:00 AM UTC. Only the
interval from this schedule is used, not the specific time of day.
string schedule = 4;
| Returns |
|---|
| Type | Description |
String | The schedule.
|
getScheduleBytes()
public ByteString getScheduleBytes()
Required. Describes the interval at which the job runs. This interval must
be at least 1 day, and it is rounded to the nearest day. For example, if
you specify a 50-hour interval, the job runs every 2 days.
You can provide the schedule in
crontab format or in an
English-like
format.
Regardless of what you specify, the job will run at 10:00 AM UTC. Only the
interval from this schedule is used, not the specific time of day.
string schedule = 4;
| Returns |
|---|
| Type | Description |
ByteString | The bytes for schedule.
|
getSerializedSize()
public int getSerializedSize()
| Returns |
|---|
| Type | Description |
int | |
Overrides
getState()
public EvaluationJob.State getState()
Output only. Describes the current state of the job.
.google.cloud.datalabeling.v1beta1.EvaluationJob.State state = 3;
getStateValue()
public int getStateValue()
Output only. Describes the current state of the job.
.google.cloud.datalabeling.v1beta1.EvaluationJob.State state = 3;
| Returns |
|---|
| Type | Description |
int | The enum numeric value on the wire for state.
|
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Overrides
hasCreateTime()
public boolean hasCreateTime()
Output only. Timestamp of when this evaluation job was created.
.google.protobuf.Timestamp create_time = 10;
| Returns |
|---|
| Type | Description |
boolean | Whether the createTime field is set.
|
hasEvaluationJobConfig()
public boolean hasEvaluationJobConfig()
Required. Configuration details for the evaluation job.
.google.cloud.datalabeling.v1beta1.EvaluationJobConfig evaluation_job_config = 6;
| Returns |
|---|
| Type | Description |
boolean | Whether the evaluationJobConfig field is set.
|
hashCode()
| Returns |
|---|
| Type | Description |
int | |
Overrides
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Overrides
isInitialized()
public final boolean isInitialized()
Overrides
newBuilderForType()
public EvaluationJob.Builder newBuilderForType()
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected EvaluationJob.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Overrides
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Overrides
toBuilder()
public EvaluationJob.Builder toBuilder()
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Overrides
