Uses of Class
com.google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob.Builder
Packages that use ModelDeploymentMonitoringJob.Builder
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Uses of ModelDeploymentMonitoringJob.Builder in com.google.cloud.aiplatform.v1
Methods in com.google.cloud.aiplatform.v1 that return ModelDeploymentMonitoringJob.BuilderModifier and TypeMethodDescriptionModelDeploymentMonitoringJob.Builder.addAllBigqueryTables(Iterable<? extends ModelDeploymentMonitoringBigQueryTable> values) Output only.ModelDeploymentMonitoringJob.Builder.addAllModelDeploymentMonitoringObjectiveConfigs(Iterable<? extends ModelDeploymentMonitoringObjectiveConfig> values) Required.ModelDeploymentMonitoringJob.Builder.addBigqueryTables(int index, ModelDeploymentMonitoringBigQueryTable value) Output only.ModelDeploymentMonitoringJob.Builder.addBigqueryTables(int index, ModelDeploymentMonitoringBigQueryTable.Builder builderForValue) Output only.ModelDeploymentMonitoringJob.Builder.addBigqueryTables(ModelDeploymentMonitoringBigQueryTable value) Output only.ModelDeploymentMonitoringJob.Builder.addBigqueryTables(ModelDeploymentMonitoringBigQueryTable.Builder builderForValue) Output only.ListModelDeploymentMonitoringJobsResponse.Builder.addModelDeploymentMonitoringJobsBuilder()A list of ModelDeploymentMonitoringJobs that matches the specified filter in the request.ListModelDeploymentMonitoringJobsResponse.Builder.addModelDeploymentMonitoringJobsBuilder(int index) A list of ModelDeploymentMonitoringJobs that matches the specified filter in the request.ModelDeploymentMonitoringJob.Builder.addModelDeploymentMonitoringObjectiveConfigs(int index, ModelDeploymentMonitoringObjectiveConfig value) Required.ModelDeploymentMonitoringJob.Builder.addModelDeploymentMonitoringObjectiveConfigs(int index, ModelDeploymentMonitoringObjectiveConfig.Builder builderForValue) Required.ModelDeploymentMonitoringJob.Builder.addModelDeploymentMonitoringObjectiveConfigs(ModelDeploymentMonitoringObjectiveConfig value) Required.ModelDeploymentMonitoringJob.Builder.addModelDeploymentMonitoringObjectiveConfigs(ModelDeploymentMonitoringObjectiveConfig.Builder builderForValue) Required.ModelDeploymentMonitoringJob.Builder.clear()ModelDeploymentMonitoringJob.Builder.clearAnalysisInstanceSchemaUri()YAML schema file uri describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze.ModelDeploymentMonitoringJob.Builder.clearBigqueryTables()Output only.ModelDeploymentMonitoringJob.Builder.clearCreateTime()Output only.ModelDeploymentMonitoringJob.Builder.clearDisplayName()Required.ModelDeploymentMonitoringJob.Builder.clearEnableMonitoringPipelineLogs()If true, the scheduled monitoring pipeline logs are sent to Google Cloud Logging, including pipeline status and anomalies detected.ModelDeploymentMonitoringJob.Builder.clearEncryptionSpec()Customer-managed encryption key spec for a ModelDeploymentMonitoringJob.ModelDeploymentMonitoringJob.Builder.clearEndpoint()Required.ModelDeploymentMonitoringJob.Builder.clearError()Output only.ModelDeploymentMonitoringJob.Builder.clearLabels()ModelDeploymentMonitoringJob.Builder.clearLatestMonitoringPipelineMetadata()Output only.ModelDeploymentMonitoringJob.Builder.clearLoggingSamplingStrategy()Required.ModelDeploymentMonitoringJob.Builder.clearLogTtl()The TTL of BigQuery tables in user projects which stores logs.ModelDeploymentMonitoringJob.Builder.clearModelDeploymentMonitoringObjectiveConfigs()Required.ModelDeploymentMonitoringJob.Builder.clearModelDeploymentMonitoringScheduleConfig()Required.ModelDeploymentMonitoringJob.Builder.clearModelMonitoringAlertConfig()Alert config for model monitoring.ModelDeploymentMonitoringJob.Builder.clearName()Output only.ModelDeploymentMonitoringJob.Builder.clearNextScheduleTime()Output only.ModelDeploymentMonitoringJob.Builder.clearPredictInstanceSchemaUri()YAML schema file uri describing the format of a single instance, which are given to format this Endpoint's prediction (and explanation).ModelDeploymentMonitoringJob.Builder.clearSamplePredictInstance()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].ModelDeploymentMonitoringJob.Builder.clearSatisfiesPzi()Output only.ModelDeploymentMonitoringJob.Builder.clearSatisfiesPzs()Output only.ModelDeploymentMonitoringJob.Builder.clearScheduleState()Output only.ModelDeploymentMonitoringJob.Builder.clearState()Output only.ModelDeploymentMonitoringJob.Builder.clearStatsAnomaliesBaseDirectory()Stats anomalies base folder path.ModelDeploymentMonitoringJob.Builder.clearUpdateTime()Output only.CreateModelDeploymentMonitoringJobRequest.Builder.getModelDeploymentMonitoringJobBuilder()Required.UpdateModelDeploymentMonitoringJobRequest.Builder.getModelDeploymentMonitoringJobBuilder()Required.ListModelDeploymentMonitoringJobsResponse.Builder.getModelDeploymentMonitoringJobsBuilder(int index) A list of ModelDeploymentMonitoringJobs that matches the specified filter in the request.ModelDeploymentMonitoringJob.Builder.mergeCreateTime(com.google.protobuf.Timestamp value) Output only.ModelDeploymentMonitoringJob.Builder.mergeEncryptionSpec(EncryptionSpec value) Customer-managed encryption key spec for a ModelDeploymentMonitoringJob.ModelDeploymentMonitoringJob.Builder.mergeError(Status value) Output only.ModelDeploymentMonitoringJob.Builder.mergeFrom(ModelDeploymentMonitoringJob other) ModelDeploymentMonitoringJob.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ModelDeploymentMonitoringJob.Builder.mergeFrom(com.google.protobuf.Message other) ModelDeploymentMonitoringJob.Builder.mergeLatestMonitoringPipelineMetadata(ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata value) Output only.ModelDeploymentMonitoringJob.Builder.mergeLoggingSamplingStrategy(SamplingStrategy value) Required.ModelDeploymentMonitoringJob.Builder.mergeLogTtl(com.google.protobuf.Duration value) The TTL of BigQuery tables in user projects which stores logs.ModelDeploymentMonitoringJob.Builder.mergeModelDeploymentMonitoringScheduleConfig(ModelDeploymentMonitoringScheduleConfig value) Required.ModelDeploymentMonitoringJob.Builder.mergeModelMonitoringAlertConfig(ModelMonitoringAlertConfig value) Alert config for model monitoring.ModelDeploymentMonitoringJob.Builder.mergeNextScheduleTime(com.google.protobuf.Timestamp value) Output only.ModelDeploymentMonitoringJob.Builder.mergeSamplePredictInstance(com.google.protobuf.Value value) 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].ModelDeploymentMonitoringJob.Builder.mergeStatsAnomaliesBaseDirectory(GcsDestination value) Stats anomalies base folder path.ModelDeploymentMonitoringJob.Builder.mergeUpdateTime(com.google.protobuf.Timestamp value) Output only.ModelDeploymentMonitoringJob.newBuilder()ModelDeploymentMonitoringJob.newBuilder(ModelDeploymentMonitoringJob prototype) ModelDeploymentMonitoringJob.newBuilderForType()protected ModelDeploymentMonitoringJob.BuilderModelDeploymentMonitoringJob.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) ModelDeploymentMonitoringJob.Builder.putAllLabels(Map<String, String> values) The labels with user-defined metadata to organize your ModelDeploymentMonitoringJob.The labels with user-defined metadata to organize your ModelDeploymentMonitoringJob.ModelDeploymentMonitoringJob.Builder.removeBigqueryTables(int index) Output only.ModelDeploymentMonitoringJob.Builder.removeLabels(String key) The labels with user-defined metadata to organize your ModelDeploymentMonitoringJob.ModelDeploymentMonitoringJob.Builder.removeModelDeploymentMonitoringObjectiveConfigs(int index) Required.ModelDeploymentMonitoringJob.Builder.setAnalysisInstanceSchemaUri(String value) YAML schema file uri describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze.ModelDeploymentMonitoringJob.Builder.setAnalysisInstanceSchemaUriBytes(com.google.protobuf.ByteString value) YAML schema file uri describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze.ModelDeploymentMonitoringJob.Builder.setBigqueryTables(int index, ModelDeploymentMonitoringBigQueryTable value) Output only.ModelDeploymentMonitoringJob.Builder.setBigqueryTables(int index, ModelDeploymentMonitoringBigQueryTable.Builder builderForValue) Output only.ModelDeploymentMonitoringJob.Builder.setCreateTime(com.google.protobuf.Timestamp value) Output only.ModelDeploymentMonitoringJob.Builder.setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only.ModelDeploymentMonitoringJob.Builder.setDisplayName(String value) Required.ModelDeploymentMonitoringJob.Builder.setDisplayNameBytes(com.google.protobuf.ByteString value) Required.ModelDeploymentMonitoringJob.Builder.setEnableMonitoringPipelineLogs(boolean value) If true, the scheduled monitoring pipeline logs are sent to Google Cloud Logging, including pipeline status and anomalies detected.ModelDeploymentMonitoringJob.Builder.setEncryptionSpec(EncryptionSpec value) Customer-managed encryption key spec for a ModelDeploymentMonitoringJob.ModelDeploymentMonitoringJob.Builder.setEncryptionSpec(EncryptionSpec.Builder builderForValue) Customer-managed encryption key spec for a ModelDeploymentMonitoringJob.ModelDeploymentMonitoringJob.Builder.setEndpoint(String value) Required.ModelDeploymentMonitoringJob.Builder.setEndpointBytes(com.google.protobuf.ByteString value) Required.Output only.ModelDeploymentMonitoringJob.Builder.setError(Status.Builder builderForValue) Output only.ModelDeploymentMonitoringJob.Builder.setLatestMonitoringPipelineMetadata(ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata value) Output only.ModelDeploymentMonitoringJob.Builder.setLatestMonitoringPipelineMetadata(ModelDeploymentMonitoringJob.LatestMonitoringPipelineMetadata.Builder builderForValue) Output only.ModelDeploymentMonitoringJob.Builder.setLoggingSamplingStrategy(SamplingStrategy value) Required.ModelDeploymentMonitoringJob.Builder.setLoggingSamplingStrategy(SamplingStrategy.Builder builderForValue) Required.ModelDeploymentMonitoringJob.Builder.setLogTtl(com.google.protobuf.Duration value) The TTL of BigQuery tables in user projects which stores logs.ModelDeploymentMonitoringJob.Builder.setLogTtl(com.google.protobuf.Duration.Builder builderForValue) The TTL of BigQuery tables in user projects which stores logs.ModelDeploymentMonitoringJob.Builder.setModelDeploymentMonitoringObjectiveConfigs(int index, ModelDeploymentMonitoringObjectiveConfig value) Required.ModelDeploymentMonitoringJob.Builder.setModelDeploymentMonitoringObjectiveConfigs(int index, ModelDeploymentMonitoringObjectiveConfig.Builder builderForValue) Required.ModelDeploymentMonitoringJob.Builder.setModelDeploymentMonitoringScheduleConfig(ModelDeploymentMonitoringScheduleConfig value) Required.ModelDeploymentMonitoringJob.Builder.setModelDeploymentMonitoringScheduleConfig(ModelDeploymentMonitoringScheduleConfig.Builder builderForValue) Required.ModelDeploymentMonitoringJob.Builder.setModelMonitoringAlertConfig(ModelMonitoringAlertConfig value) Alert config for model monitoring.ModelDeploymentMonitoringJob.Builder.setModelMonitoringAlertConfig(ModelMonitoringAlertConfig.Builder builderForValue) Alert config for model monitoring.Output only.ModelDeploymentMonitoringJob.Builder.setNameBytes(com.google.protobuf.ByteString value) Output only.ModelDeploymentMonitoringJob.Builder.setNextScheduleTime(com.google.protobuf.Timestamp value) Output only.ModelDeploymentMonitoringJob.Builder.setNextScheduleTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only.ModelDeploymentMonitoringJob.Builder.setPredictInstanceSchemaUri(String value) YAML schema file uri describing the format of a single instance, which are given to format this Endpoint's prediction (and explanation).ModelDeploymentMonitoringJob.Builder.setPredictInstanceSchemaUriBytes(com.google.protobuf.ByteString value) YAML schema file uri describing the format of a single instance, which are given to format this Endpoint's prediction (and explanation).ModelDeploymentMonitoringJob.Builder.setSamplePredictInstance(com.google.protobuf.Value value) 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].ModelDeploymentMonitoringJob.Builder.setSamplePredictInstance(com.google.protobuf.Value.Builder builderForValue) 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].ModelDeploymentMonitoringJob.Builder.setSatisfiesPzi(boolean value) Output only.ModelDeploymentMonitoringJob.Builder.setSatisfiesPzs(boolean value) Output only.ModelDeploymentMonitoringJob.Builder.setScheduleState(ModelDeploymentMonitoringJob.MonitoringScheduleState value) Output only.ModelDeploymentMonitoringJob.Builder.setScheduleStateValue(int value) Output only.Output only.ModelDeploymentMonitoringJob.Builder.setStateValue(int value) Output only.ModelDeploymentMonitoringJob.Builder.setStatsAnomaliesBaseDirectory(GcsDestination value) Stats anomalies base folder path.ModelDeploymentMonitoringJob.Builder.setStatsAnomaliesBaseDirectory(GcsDestination.Builder builderForValue) Stats anomalies base folder path.ModelDeploymentMonitoringJob.Builder.setUpdateTime(com.google.protobuf.Timestamp value) Output only.ModelDeploymentMonitoringJob.Builder.setUpdateTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only.ModelDeploymentMonitoringJob.toBuilder()Methods in com.google.cloud.aiplatform.v1 that return types with arguments of type ModelDeploymentMonitoringJob.BuilderModifier and TypeMethodDescriptionListModelDeploymentMonitoringJobsResponse.Builder.getModelDeploymentMonitoringJobsBuilderList()A list of ModelDeploymentMonitoringJobs that matches the specified filter in the request.Methods in com.google.cloud.aiplatform.v1 with parameters of type ModelDeploymentMonitoringJob.BuilderModifier and TypeMethodDescriptionListModelDeploymentMonitoringJobsResponse.Builder.addModelDeploymentMonitoringJobs(int index, ModelDeploymentMonitoringJob.Builder builderForValue) A list of ModelDeploymentMonitoringJobs that matches the specified filter in the request.ListModelDeploymentMonitoringJobsResponse.Builder.addModelDeploymentMonitoringJobs(ModelDeploymentMonitoringJob.Builder builderForValue) A list of ModelDeploymentMonitoringJobs that matches the specified filter in the request.CreateModelDeploymentMonitoringJobRequest.Builder.setModelDeploymentMonitoringJob(ModelDeploymentMonitoringJob.Builder builderForValue) Required.UpdateModelDeploymentMonitoringJobRequest.Builder.setModelDeploymentMonitoringJob(ModelDeploymentMonitoringJob.Builder builderForValue) Required.ListModelDeploymentMonitoringJobsResponse.Builder.setModelDeploymentMonitoringJobs(int index, ModelDeploymentMonitoringJob.Builder builderForValue) A list of ModelDeploymentMonitoringJobs that matches the specified filter in the request.