public interface AssessDataRequestOrBuilder
extends com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofboolean hasTuningValidationAssessmentConfig()
Optional. Configuration for the tuning validation assessment.
.google.cloud.aiplatform.v1beta1.AssessDataRequest.TuningValidationAssessmentConfig tuning_validation_assessment_config = 2 [(.google.api.field_behavior) = OPTIONAL];
AssessDataRequest.TuningValidationAssessmentConfig getTuningValidationAssessmentConfig()
Optional. Configuration for the tuning validation assessment.
.google.cloud.aiplatform.v1beta1.AssessDataRequest.TuningValidationAssessmentConfig tuning_validation_assessment_config = 2 [(.google.api.field_behavior) = OPTIONAL];
AssessDataRequest.TuningValidationAssessmentConfigOrBuilder getTuningValidationAssessmentConfigOrBuilder()
Optional. Configuration for the tuning validation assessment.
.google.cloud.aiplatform.v1beta1.AssessDataRequest.TuningValidationAssessmentConfig tuning_validation_assessment_config = 2 [(.google.api.field_behavior) = OPTIONAL];
boolean hasTuningResourceUsageAssessmentConfig()
Optional. Configuration for the tuning resource usage assessment.
.google.cloud.aiplatform.v1beta1.AssessDataRequest.TuningResourceUsageAssessmentConfig tuning_resource_usage_assessment_config = 3 [(.google.api.field_behavior) = OPTIONAL];
AssessDataRequest.TuningResourceUsageAssessmentConfig getTuningResourceUsageAssessmentConfig()
Optional. Configuration for the tuning resource usage assessment.
.google.cloud.aiplatform.v1beta1.AssessDataRequest.TuningResourceUsageAssessmentConfig tuning_resource_usage_assessment_config = 3 [(.google.api.field_behavior) = OPTIONAL];
AssessDataRequest.TuningResourceUsageAssessmentConfigOrBuilder getTuningResourceUsageAssessmentConfigOrBuilder()
Optional. Configuration for the tuning resource usage assessment.
.google.cloud.aiplatform.v1beta1.AssessDataRequest.TuningResourceUsageAssessmentConfig tuning_resource_usage_assessment_config = 3 [(.google.api.field_behavior) = OPTIONAL];
boolean hasBatchPredictionValidationAssessmentConfig()
Optional. Configuration for the batch prediction validation assessment.
.google.cloud.aiplatform.v1beta1.AssessDataRequest.BatchPredictionValidationAssessmentConfig batch_prediction_validation_assessment_config = 6 [(.google.api.field_behavior) = OPTIONAL];
AssessDataRequest.BatchPredictionValidationAssessmentConfig getBatchPredictionValidationAssessmentConfig()
Optional. Configuration for the batch prediction validation assessment.
.google.cloud.aiplatform.v1beta1.AssessDataRequest.BatchPredictionValidationAssessmentConfig batch_prediction_validation_assessment_config = 6 [(.google.api.field_behavior) = OPTIONAL];
AssessDataRequest.BatchPredictionValidationAssessmentConfigOrBuilder getBatchPredictionValidationAssessmentConfigOrBuilder()
Optional. Configuration for the batch prediction validation assessment.
.google.cloud.aiplatform.v1beta1.AssessDataRequest.BatchPredictionValidationAssessmentConfig batch_prediction_validation_assessment_config = 6 [(.google.api.field_behavior) = OPTIONAL];
boolean hasBatchPredictionResourceUsageAssessmentConfig()
Optional. Configuration for the batch prediction resource usage assessment.
.google.cloud.aiplatform.v1beta1.AssessDataRequest.BatchPredictionResourceUsageAssessmentConfig batch_prediction_resource_usage_assessment_config = 7 [(.google.api.field_behavior) = OPTIONAL];
AssessDataRequest.BatchPredictionResourceUsageAssessmentConfig getBatchPredictionResourceUsageAssessmentConfig()
Optional. Configuration for the batch prediction resource usage assessment.
.google.cloud.aiplatform.v1beta1.AssessDataRequest.BatchPredictionResourceUsageAssessmentConfig batch_prediction_resource_usage_assessment_config = 7 [(.google.api.field_behavior) = OPTIONAL];
AssessDataRequest.BatchPredictionResourceUsageAssessmentConfigOrBuilder getBatchPredictionResourceUsageAssessmentConfigOrBuilder()
Optional. Configuration for the batch prediction resource usage assessment.
.google.cloud.aiplatform.v1beta1.AssessDataRequest.BatchPredictionResourceUsageAssessmentConfig batch_prediction_resource_usage_assessment_config = 7 [(.google.api.field_behavior) = OPTIONAL];
boolean hasGeminiTemplateConfig()
Optional. Config for assembling templates with a Gemini API structure to assess assembled data.
.google.cloud.aiplatform.v1beta1.GeminiTemplateConfig gemini_template_config = 4 [(.google.api.field_behavior) = OPTIONAL];
GeminiTemplateConfig getGeminiTemplateConfig()
Optional. Config for assembling templates with a Gemini API structure to assess assembled data.
.google.cloud.aiplatform.v1beta1.GeminiTemplateConfig gemini_template_config = 4 [(.google.api.field_behavior) = OPTIONAL];
GeminiTemplateConfigOrBuilder getGeminiTemplateConfigOrBuilder()
Optional. Config for assembling templates with a Gemini API structure to assess assembled data.
.google.cloud.aiplatform.v1beta1.GeminiTemplateConfig gemini_template_config = 4 [(.google.api.field_behavior) = OPTIONAL];
boolean hasRequestColumnName()
Optional. The column name in the underlying table that contains already fully assembled requests.
string request_column_name = 5 [(.google.api.field_behavior) = OPTIONAL];String getRequestColumnName()
Optional. The column name in the underlying table that contains already fully assembled requests.
string request_column_name = 5 [(.google.api.field_behavior) = OPTIONAL];com.google.protobuf.ByteString getRequestColumnNameBytes()
Optional. The column name in the underlying table that contains already fully assembled requests.
string request_column_name = 5 [(.google.api.field_behavior) = OPTIONAL];String getName()
Required. The name of the Dataset resource. Used only for MULTIMODAL
datasets. Format:
`projects/{project}/locations/{location}/datasets/{dataset}`
string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
com.google.protobuf.ByteString getNameBytes()
Required. The name of the Dataset resource. Used only for MULTIMODAL
datasets. Format:
`projects/{project}/locations/{location}/datasets/{dataset}`
string name = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
boolean hasGeminiRequestReadConfig()
Optional. The Gemini request read config for the dataset.
.google.cloud.aiplatform.v1beta1.GeminiRequestReadConfig gemini_request_read_config = 8 [(.google.api.field_behavior) = OPTIONAL];
GeminiRequestReadConfig getGeminiRequestReadConfig()
Optional. The Gemini request read config for the dataset.
.google.cloud.aiplatform.v1beta1.GeminiRequestReadConfig gemini_request_read_config = 8 [(.google.api.field_behavior) = OPTIONAL];
GeminiRequestReadConfigOrBuilder getGeminiRequestReadConfigOrBuilder()
Optional. The Gemini request read config for the dataset.
.google.cloud.aiplatform.v1beta1.GeminiRequestReadConfig gemini_request_read_config = 8 [(.google.api.field_behavior) = OPTIONAL];
AssessDataRequest.AssessmentConfigCase getAssessmentConfigCase()
AssessDataRequest.ReadConfigCase getReadConfigCase()
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