Package com.google.cloud.aiplatform.v1

Class ModelDeploymentMonitoringJob

  • All Implemented Interfaces:
    ModelDeploymentMonitoringJobOrBuilder, com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable
    public final class ModelDeploymentMonitoringJob
extends com.google.protobuf.GeneratedMessageV3
implements ModelDeploymentMonitoringJobOrBuilder
     Represents a job that runs periodically to monitor the deployed models in an
 endpoint. It will analyze the logged training & prediction data to detect any
 abnormal behaviors.
    Protobuf type google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob
    See Also:
    Serialized Form

    • Field Detail

      • DISPLAY_NAME_FIELD_NUMBER

        public static final int DISPLAY_NAME_FIELD_NUMBER
        See Also:
        Constant Field Values

      • SCHEDULE_STATE_FIELD_NUMBER

        public static final int SCHEDULE_STATE_FIELD_NUMBER
        See Also:
        Constant Field Values

      • LATEST_MONITORING_PIPELINE_METADATA_FIELD_NUMBER

        public static final int LATEST_MONITORING_PIPELINE_METADATA_FIELD_NUMBER
        See Also:
        Constant Field Values

      • MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_CONFIGS_FIELD_NUMBER

        public static final int MODEL_DEPLOYMENT_MONITORING_OBJECTIVE_CONFIGS_FIELD_NUMBER
        See Also:
        Constant Field Values

      • MODEL_DEPLOYMENT_MONITORING_SCHEDULE_CONFIG_FIELD_NUMBER

        public static final int MODEL_DEPLOYMENT_MONITORING_SCHEDULE_CONFIG_FIELD_NUMBER
        See Also:
        Constant Field Values

      • LOGGING_SAMPLING_STRATEGY_FIELD_NUMBER

        public static final int LOGGING_SAMPLING_STRATEGY_FIELD_NUMBER
        See Also:
        Constant Field Values

      • MODEL_MONITORING_ALERT_CONFIG_FIELD_NUMBER

        public static final int MODEL_MONITORING_ALERT_CONFIG_FIELD_NUMBER
        See Also:
        Constant Field Values

      • PREDICT_INSTANCE_SCHEMA_URI_FIELD_NUMBER

        public static final int PREDICT_INSTANCE_SCHEMA_URI_FIELD_NUMBER
        See Also:
        Constant Field Values

      • SAMPLE_PREDICT_INSTANCE_FIELD_NUMBER

        public static final int SAMPLE_PREDICT_INSTANCE_FIELD_NUMBER
        See Also:
        Constant Field Values

      • ANALYSIS_INSTANCE_SCHEMA_URI_FIELD_NUMBER

        public static final int ANALYSIS_INSTANCE_SCHEMA_URI_FIELD_NUMBER
        See Also:
        Constant Field Values

      • BIGQUERY_TABLES_FIELD_NUMBER

        public static final int BIGQUERY_TABLES_FIELD_NUMBER
        See Also:
        Constant Field Values

      • CREATE_TIME_FIELD_NUMBER

        public static final int CREATE_TIME_FIELD_NUMBER
        See Also:
        Constant Field Values

      • UPDATE_TIME_FIELD_NUMBER

        public static final int UPDATE_TIME_FIELD_NUMBER
        See Also:
        Constant Field Values

      • NEXT_SCHEDULE_TIME_FIELD_NUMBER

        public static final int NEXT_SCHEDULE_TIME_FIELD_NUMBER
        See Also:
        Constant Field Values

      • STATS_ANOMALIES_BASE_DIRECTORY_FIELD_NUMBER

        public static final int STATS_ANOMALIES_BASE_DIRECTORY_FIELD_NUMBER
        See Also:
        Constant Field Values

      • ENCRYPTION_SPEC_FIELD_NUMBER

        public static final int ENCRYPTION_SPEC_FIELD_NUMBER
        See Also:
        Constant Field Values

      • ENABLE_MONITORING_PIPELINE_LOGS_FIELD_NUMBER

        public static final int ENABLE_MONITORING_PIPELINE_LOGS_FIELD_NUMBER
        See Also:
        Constant Field Values

    • Method Detail

      • newInstance

        protected Object newInstance​(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
        Overrides:
        newInstance in class com.google.protobuf.GeneratedMessageV3

      • getDescriptor

        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

      • internalGetMapField

        protected com.google.protobuf.MapField internalGetMapField​(int number)
        Overrides:
        internalGetMapField in class com.google.protobuf.GeneratedMessageV3

      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3

      • getName

        public String getName()
         Output only. Resource name of a ModelDeploymentMonitoringJob.
        string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getName in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The name.

      • getNameBytes

        public com.google.protobuf.ByteString getNameBytes()
         Output only. Resource name of a ModelDeploymentMonitoringJob.
        string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getNameBytes in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The bytes for name.

      • getDisplayName

        public String getDisplayName()
         Required. The user-defined name of the ModelDeploymentMonitoringJob.
 The name can be up to 128 characters long and can consist of any UTF-8
 characters.
 Display name of a ModelDeploymentMonitoringJob.
        string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        getDisplayName in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The displayName.

      • getDisplayNameBytes

        public com.google.protobuf.ByteString getDisplayNameBytes()
         Required. The user-defined name of the ModelDeploymentMonitoringJob.
 The name can be up to 128 characters long and can consist of any UTF-8
 characters.
 Display name of a ModelDeploymentMonitoringJob.
        string display_name = 2 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        getDisplayNameBytes in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The bytes for displayName.

      • getEndpoint

        public String getEndpoint()
         Required. Endpoint resource name.
 Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
        string endpoint = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
        Specified by:
        getEndpoint in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The endpoint.

      • getEndpointBytes

        public com.google.protobuf.ByteString getEndpointBytes()
         Required. Endpoint resource name.
 Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
        string endpoint = 3 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
        Specified by:
        getEndpointBytes in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The bytes for endpoint.

      • getStateValue

        public int getStateValue()
         Output only. The detailed state of the monitoring job.
 When the job is still creating, the state will be 'PENDING'.
 Once the job is successfully created, the state will be 'RUNNING'.
 Pause the job, the state will be 'PAUSED'.
 Resume the job, the state will return to 'RUNNING'.
        .google.cloud.aiplatform.v1.JobState state = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getStateValue in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The enum numeric value on the wire for state.

      • getState

        public JobState getState()
         Output only. The detailed state of the monitoring job.
 When the job is still creating, the state will be 'PENDING'.
 Once the job is successfully created, the state will be 'RUNNING'.
 Pause the job, the state will be 'PAUSED'.
 Resume the job, the state will return to 'RUNNING'.
        .google.cloud.aiplatform.v1.JobState state = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getState in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The state.

      • getScheduleStateValue

        public int getScheduleStateValue()
         Output only. Schedule state when the monitoring job is in Running state.
        .google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.MonitoringScheduleState schedule_state = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getScheduleStateValue in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The enum numeric value on the wire for scheduleState.

      • hasLatestMonitoringPipelineMetadata

        public boolean hasLatestMonitoringPipelineMetadata()
         Output only. Latest triggered monitoring pipeline metadata.
        .google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata latest_monitoring_pipeline_metadata = 25 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        hasLatestMonitoringPipelineMetadata in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        Whether the latestMonitoringPipelineMetadata field is set.

      • getModelDeploymentMonitoringObjectiveConfigsCount

        public int getModelDeploymentMonitoringObjectiveConfigsCount()
         Required. The config for monitoring objectives. This is a per DeployedModel
 config. Each DeployedModel needs to be configured separately.
        repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringObjectiveConfig model_deployment_monitoring_objective_configs = 6 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        getModelDeploymentMonitoringObjectiveConfigsCount in interface ModelDeploymentMonitoringJobOrBuilder

      • hasModelDeploymentMonitoringScheduleConfig

        public boolean hasModelDeploymentMonitoringScheduleConfig()
         Required. Schedule config for running the monitoring job.
        .google.cloud.aiplatform.v1.ModelDeploymentMonitoringScheduleConfig model_deployment_monitoring_schedule_config = 7 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        hasModelDeploymentMonitoringScheduleConfig in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        Whether the modelDeploymentMonitoringScheduleConfig field is set.

      • hasLoggingSamplingStrategy

        public boolean hasLoggingSamplingStrategy()
         Required. Sample Strategy for logging.
        .google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 8 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        hasLoggingSamplingStrategy in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        Whether the loggingSamplingStrategy field is set.

      • hasModelMonitoringAlertConfig

        public boolean hasModelMonitoringAlertConfig()
         Alert config for model monitoring.
        .google.cloud.aiplatform.v1.ModelMonitoringAlertConfig model_monitoring_alert_config = 15;
        Specified by:
        hasModelMonitoringAlertConfig in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        Whether the modelMonitoringAlertConfig field is set.

      • getPredictInstanceSchemaUri

        public String getPredictInstanceSchemaUri()
         YAML schema file uri describing the format of a single instance,
 which are given to format this Endpoint's prediction (and explanation).
 If not set, we will generate predict schema from collected predict
 requests.
        string predict_instance_schema_uri = 9;
        Specified by:
        getPredictInstanceSchemaUri in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The predictInstanceSchemaUri.

      • getPredictInstanceSchemaUriBytes

        public com.google.protobuf.ByteString getPredictInstanceSchemaUriBytes()
         YAML schema file uri describing the format of a single instance,
 which are given to format this Endpoint's prediction (and explanation).
 If not set, we will generate predict schema from collected predict
 requests.
        string predict_instance_schema_uri = 9;
        Specified by:
        getPredictInstanceSchemaUriBytes in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The bytes for predictInstanceSchemaUri.

      • hasSamplePredictInstance

        public boolean hasSamplePredictInstance()
         Sample Predict instance, same format as
 [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
 this can be set as a replacement of
 [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
 If not set, we will generate predict schema from collected predict
 requests.
        .google.protobuf.Value sample_predict_instance = 19;
        Specified by:
        hasSamplePredictInstance in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        Whether the samplePredictInstance field is set.

      • getSamplePredictInstance

        public com.google.protobuf.Value getSamplePredictInstance()
         Sample Predict instance, same format as
 [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
 this can be set as a replacement of
 [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
 If not set, we will generate predict schema from collected predict
 requests.
        .google.protobuf.Value sample_predict_instance = 19;
        Specified by:
        getSamplePredictInstance in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The samplePredictInstance.

      • getSamplePredictInstanceOrBuilder

        public com.google.protobuf.ValueOrBuilder getSamplePredictInstanceOrBuilder()
         Sample Predict instance, same format as
 [PredictRequest.instances][google.cloud.aiplatform.v1.PredictRequest.instances],
 this can be set as a replacement of
 [ModelDeploymentMonitoringJob.predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri].
 If not set, we will generate predict schema from collected predict
 requests.
        .google.protobuf.Value sample_predict_instance = 19;
        Specified by:
        getSamplePredictInstanceOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

      • getAnalysisInstanceSchemaUri

        public String getAnalysisInstanceSchemaUri()
         YAML schema file uri describing the format of a single instance that you
 want Tensorflow Data Validation (TFDV) to analyze.

 If this field is empty, all the feature data types are inferred from
 [predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri],
 meaning that TFDV will use the data in the exact format(data type) as
 prediction request/response.
 If there are any data type differences between predict instance and TFDV
 instance, this field can be used to override the schema.
 For models trained with Vertex AI, this field must be set as all the
 fields in predict instance formatted as string.
        string analysis_instance_schema_uri = 16;
        Specified by:
        getAnalysisInstanceSchemaUri in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The analysisInstanceSchemaUri.

      • getAnalysisInstanceSchemaUriBytes

        public com.google.protobuf.ByteString getAnalysisInstanceSchemaUriBytes()
         YAML schema file uri describing the format of a single instance that you
 want Tensorflow Data Validation (TFDV) to analyze.

 If this field is empty, all the feature data types are inferred from
 [predict_instance_schema_uri][google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.predict_instance_schema_uri],
 meaning that TFDV will use the data in the exact format(data type) as
 prediction request/response.
 If there are any data type differences between predict instance and TFDV
 instance, this field can be used to override the schema.
 For models trained with Vertex AI, this field must be set as all the
 fields in predict instance formatted as string.
        string analysis_instance_schema_uri = 16;
        Specified by:
        getAnalysisInstanceSchemaUriBytes in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The bytes for analysisInstanceSchemaUri.

      • getBigqueryTablesList

        public List<ModelDeploymentMonitoringBigQueryTable> getBigqueryTablesList()
         Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response
        repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getBigqueryTablesList in interface ModelDeploymentMonitoringJobOrBuilder

      • getBigqueryTablesOrBuilderList

        public List<? extends ModelDeploymentMonitoringBigQueryTableOrBuilder> getBigqueryTablesOrBuilderList()
         Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response
        repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getBigqueryTablesOrBuilderList in interface ModelDeploymentMonitoringJobOrBuilder

      • getBigqueryTablesCount

        public int getBigqueryTablesCount()
         Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response
        repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getBigqueryTablesCount in interface ModelDeploymentMonitoringJobOrBuilder

      • getBigqueryTables

        public ModelDeploymentMonitoringBigQueryTable getBigqueryTables​(int index)
         Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response
        repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getBigqueryTables in interface ModelDeploymentMonitoringJobOrBuilder

      • getBigqueryTablesOrBuilder

        public ModelDeploymentMonitoringBigQueryTableOrBuilder getBigqueryTablesOrBuilder​(int index)
         Output only. The created bigquery tables for the job under customer
 project. Customer could do their own query & analysis. There could be 4 log
 tables in maximum:
 1. Training data logging predict request/response
 2. Serving data logging predict request/response
        repeated .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable bigquery_tables = 10 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getBigqueryTablesOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

      • hasLogTtl

        public boolean hasLogTtl()
         The TTL of BigQuery tables in user projects which stores logs.
 A day is the basic unit of the TTL and we take the ceil of TTL/86400(a
 day). e.g. { second: 3600} indicates ttl = 1 day.
        .google.protobuf.Duration log_ttl = 17;
        Specified by:
        hasLogTtl in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        Whether the logTtl field is set.

      • getLogTtl

        public com.google.protobuf.Duration getLogTtl()
         The TTL of BigQuery tables in user projects which stores logs.
 A day is the basic unit of the TTL and we take the ceil of TTL/86400(a
 day). e.g. { second: 3600} indicates ttl = 1 day.
        .google.protobuf.Duration log_ttl = 17;
        Specified by:
        getLogTtl in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The logTtl.

      • getLogTtlOrBuilder

        public com.google.protobuf.DurationOrBuilder getLogTtlOrBuilder()
         The TTL of BigQuery tables in user projects which stores logs.
 A day is the basic unit of the TTL and we take the ceil of TTL/86400(a
 day). e.g. { second: 3600} indicates ttl = 1 day.
        .google.protobuf.Duration log_ttl = 17;
        Specified by:
        getLogTtlOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

      • getLabelsCount

        public int getLabelsCount()
        Description copied from interface: ModelDeploymentMonitoringJobOrBuilder
         The labels with user-defined metadata to organize your
 ModelDeploymentMonitoringJob.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.
        map<string, string> labels = 11;
        Specified by:
        getLabelsCount in interface ModelDeploymentMonitoringJobOrBuilder

      • containsLabels

        public boolean containsLabels​(String key)
         The labels with user-defined metadata to organize your
 ModelDeploymentMonitoringJob.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.
        map<string, string> labels = 11;
        Specified by:
        containsLabels in interface ModelDeploymentMonitoringJobOrBuilder

      • getLabelsMap

        public Map<String,​String> getLabelsMap()
         The labels with user-defined metadata to organize your
 ModelDeploymentMonitoringJob.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.
        map<string, string> labels = 11;
        Specified by:
        getLabelsMap in interface ModelDeploymentMonitoringJobOrBuilder

      • getLabelsOrDefault

        public String getLabelsOrDefault​(String key,
                                 String defaultValue)
         The labels with user-defined metadata to organize your
 ModelDeploymentMonitoringJob.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.
        map<string, string> labels = 11;
        Specified by:
        getLabelsOrDefault in interface ModelDeploymentMonitoringJobOrBuilder

      • getLabelsOrThrow

        public String getLabelsOrThrow​(String key)
         The labels with user-defined metadata to organize your
 ModelDeploymentMonitoringJob.

 Label keys and values can be no longer than 64 characters
 (Unicode codepoints), can only contain lowercase letters, numeric
 characters, underscores and dashes. International characters are allowed.

 See https://goo.gl/xmQnxf for more information and examples of labels.
        map<string, string> labels = 11;
        Specified by:
        getLabelsOrThrow in interface ModelDeploymentMonitoringJobOrBuilder

      • hasCreateTime

        public boolean hasCreateTime()
         Output only. Timestamp when this ModelDeploymentMonitoringJob was created.
        .google.protobuf.Timestamp create_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        hasCreateTime in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        Whether the createTime field is set.

      • getCreateTime

        public com.google.protobuf.Timestamp getCreateTime()
         Output only. Timestamp when this ModelDeploymentMonitoringJob was created.
        .google.protobuf.Timestamp create_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getCreateTime in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The createTime.

      • getCreateTimeOrBuilder

        public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()
         Output only. Timestamp when this ModelDeploymentMonitoringJob was created.
        .google.protobuf.Timestamp create_time = 12 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getCreateTimeOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

      • hasUpdateTime

        public boolean hasUpdateTime()
         Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
 most recently.
        .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        hasUpdateTime in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        Whether the updateTime field is set.

      • getUpdateTime

        public com.google.protobuf.Timestamp getUpdateTime()
         Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
 most recently.
        .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getUpdateTime in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The updateTime.

      • getUpdateTimeOrBuilder

        public com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder()
         Output only. Timestamp when this ModelDeploymentMonitoringJob was updated
 most recently.
        .google.protobuf.Timestamp update_time = 13 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getUpdateTimeOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

      • hasNextScheduleTime

        public boolean hasNextScheduleTime()
         Output only. Timestamp when this monitoring pipeline will be scheduled to
 run for the next round.
        .google.protobuf.Timestamp next_schedule_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        hasNextScheduleTime in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        Whether the nextScheduleTime field is set.

      • getNextScheduleTime

        public com.google.protobuf.Timestamp getNextScheduleTime()
         Output only. Timestamp when this monitoring pipeline will be scheduled to
 run for the next round.
        .google.protobuf.Timestamp next_schedule_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getNextScheduleTime in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The nextScheduleTime.

      • getNextScheduleTimeOrBuilder

        public com.google.protobuf.TimestampOrBuilder getNextScheduleTimeOrBuilder()
         Output only. Timestamp when this monitoring pipeline will be scheduled to
 run for the next round.
        .google.protobuf.Timestamp next_schedule_time = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getNextScheduleTimeOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

      • hasStatsAnomaliesBaseDirectory

        public boolean hasStatsAnomaliesBaseDirectory()
         Stats anomalies base folder path.
        .google.cloud.aiplatform.v1.GcsDestination stats_anomalies_base_directory = 20;
        Specified by:
        hasStatsAnomaliesBaseDirectory in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        Whether the statsAnomaliesBaseDirectory field is set.

      • hasEncryptionSpec

        public boolean hasEncryptionSpec()
         Customer-managed encryption key spec for a ModelDeploymentMonitoringJob. If
 set, this ModelDeploymentMonitoringJob and all sub-resources of this
 ModelDeploymentMonitoringJob will be secured by this key.
        .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 21;
        Specified by:
        hasEncryptionSpec in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        Whether the encryptionSpec field is set.

      • getEncryptionSpec

        public EncryptionSpec getEncryptionSpec()
         Customer-managed encryption key spec for a ModelDeploymentMonitoringJob. If
 set, this ModelDeploymentMonitoringJob and all sub-resources of this
 ModelDeploymentMonitoringJob will be secured by this key.
        .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 21;
        Specified by:
        getEncryptionSpec in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The encryptionSpec.

      • getEncryptionSpecOrBuilder

        public EncryptionSpecOrBuilder getEncryptionSpecOrBuilder()
         Customer-managed encryption key spec for a ModelDeploymentMonitoringJob. If
 set, this ModelDeploymentMonitoringJob and all sub-resources of this
 ModelDeploymentMonitoringJob will be secured by this key.
        .google.cloud.aiplatform.v1.EncryptionSpec encryption_spec = 21;
        Specified by:
        getEncryptionSpecOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

      • getEnableMonitoringPipelineLogs

        public boolean getEnableMonitoringPipelineLogs()
         If true, the scheduled monitoring pipeline logs are sent to
 Google Cloud Logging, including pipeline status and anomalies detected.
 Please note the logs incur cost, which are subject to [Cloud Logging
 pricing](https://cloud.google.com/logging#pricing).
        bool enable_monitoring_pipeline_logs = 22;
        Specified by:
        getEnableMonitoringPipelineLogs in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The enableMonitoringPipelineLogs.

      • hasError

        public boolean hasError()
         Output only. Only populated when the job's state is `JOB_STATE_FAILED` or
 `JOB_STATE_CANCELLED`.
        .google.rpc.Status error = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        hasError in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        Whether the error field is set.

      • getError

        public com.google.rpc.Status getError()
         Output only. Only populated when the job's state is `JOB_STATE_FAILED` or
 `JOB_STATE_CANCELLED`.
        .google.rpc.Status error = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getError in interface ModelDeploymentMonitoringJobOrBuilder
        Returns:
        The error.

      • getErrorOrBuilder

        public com.google.rpc.StatusOrBuilder getErrorOrBuilder()
         Output only. Only populated when the job's state is `JOB_STATE_FAILED` or
 `JOB_STATE_CANCELLED`.
        .google.rpc.Status error = 23 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Specified by:
        getErrorOrBuilder in interface ModelDeploymentMonitoringJobOrBuilder

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3

      • writeTo

        public void writeTo​(com.google.protobuf.CodedOutputStream output)
             throws IOException
        Specified by:
        writeTo in interface com.google.protobuf.MessageLite
        Overrides:
        writeTo in class com.google.protobuf.GeneratedMessageV3
        Throws:
        IOException

      • getSerializedSize

        public int getSerializedSize()
        Specified by:
        getSerializedSize in interface com.google.protobuf.MessageLite
        Overrides:
        getSerializedSize in class com.google.protobuf.GeneratedMessageV3

      • equals

        public boolean equals​(Object obj)
        Specified by:
        equals in interface com.google.protobuf.Message
        Overrides:
        equals in class com.google.protobuf.AbstractMessage

      • hashCode

        public int hashCode()
        Specified by:
        hashCode in interface com.google.protobuf.Message
        Overrides:
        hashCode in class com.google.protobuf.AbstractMessage

      • parseFrom

        public static ModelDeploymentMonitoringJob parseFrom​(ByteBuffer data)
                                              throws com.google.protobuf.InvalidProtocolBufferException
        Throws:
        com.google.protobuf.InvalidProtocolBufferException

      • parseFrom

        public static ModelDeploymentMonitoringJob parseFrom​(ByteBuffer data,
                                                     com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                              throws com.google.protobuf.InvalidProtocolBufferException
        Throws:
        com.google.protobuf.InvalidProtocolBufferException

      • parseFrom

        public static ModelDeploymentMonitoringJob parseFrom​(com.google.protobuf.ByteString data)
                                              throws com.google.protobuf.InvalidProtocolBufferException
        Throws:
        com.google.protobuf.InvalidProtocolBufferException

      • parseFrom

        public static ModelDeploymentMonitoringJob parseFrom​(com.google.protobuf.ByteString data,
                                                     com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                              throws com.google.protobuf.InvalidProtocolBufferException
        Throws:
        com.google.protobuf.InvalidProtocolBufferException

      • parseFrom

        public static ModelDeploymentMonitoringJob parseFrom​(byte[] data)
                                              throws com.google.protobuf.InvalidProtocolBufferException
        Throws:
        com.google.protobuf.InvalidProtocolBufferException

      • parseFrom

        public static ModelDeploymentMonitoringJob parseFrom​(byte[] data,
                                                     com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                              throws com.google.protobuf.InvalidProtocolBufferException
        Throws:
        com.google.protobuf.InvalidProtocolBufferException

      • newBuilderForType

        public ModelDeploymentMonitoringJob.Builder newBuilderForType()
        Specified by:
        newBuilderForType in interface com.google.protobuf.Message
        Specified by:
        newBuilderForType in interface com.google.protobuf.MessageLite

      • toBuilder

        public ModelDeploymentMonitoringJob.Builder toBuilder()
        Specified by:
        toBuilder in interface com.google.protobuf.Message
        Specified by:
        toBuilder in interface com.google.protobuf.MessageLite

      • newBuilderForType

        protected ModelDeploymentMonitoringJob.Builder newBuilderForType​(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
        Specified by:
        newBuilderForType in class com.google.protobuf.GeneratedMessageV3

      • getParserForType

        public com.google.protobuf.Parser<ModelDeploymentMonitoringJob> getParserForType()
        Specified by:
        getParserForType in interface com.google.protobuf.Message
        Specified by:
        getParserForType in interface com.google.protobuf.MessageLite
        Overrides:
        getParserForType in class com.google.protobuf.GeneratedMessageV3

      • getDefaultInstanceForType

        public ModelDeploymentMonitoringJob getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder