@Generated
public interface RecommendSpecResponseOrBuilder
extends com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofString getBaseModel()
Output only. The base model used to finetune the custom model.
string base_model = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];com.google.protobuf.ByteString getBaseModelBytes()
Output only. The base model used to finetune the custom model.
string base_model = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];List<RecommendSpecResponse.Recommendation> getRecommendationsList()
Output only. Recommendations of deployment options for the given custom weights model.
repeated .google.cloud.aiplatform.v1beta1.RecommendSpecResponse.Recommendation recommendations = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
RecommendSpecResponse.Recommendation getRecommendations(int index)
Output only. Recommendations of deployment options for the given custom weights model.
repeated .google.cloud.aiplatform.v1beta1.RecommendSpecResponse.Recommendation recommendations = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
int getRecommendationsCount()
Output only. Recommendations of deployment options for the given custom weights model.
repeated .google.cloud.aiplatform.v1beta1.RecommendSpecResponse.Recommendation recommendations = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
List<? extends RecommendSpecResponse.RecommendationOrBuilder> getRecommendationsOrBuilderList()
Output only. Recommendations of deployment options for the given custom weights model.
repeated .google.cloud.aiplatform.v1beta1.RecommendSpecResponse.Recommendation recommendations = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
RecommendSpecResponse.RecommendationOrBuilder getRecommendationsOrBuilder(int index)
Output only. Recommendations of deployment options for the given custom weights model.
repeated .google.cloud.aiplatform.v1beta1.RecommendSpecResponse.Recommendation recommendations = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
List<RecommendSpecResponse.MachineAndModelContainerSpec> getSpecsList()
Output only. The machine and model container specs.
repeated .google.cloud.aiplatform.v1beta1.RecommendSpecResponse.MachineAndModelContainerSpec specs = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
RecommendSpecResponse.MachineAndModelContainerSpec getSpecs(int index)
Output only. The machine and model container specs.
repeated .google.cloud.aiplatform.v1beta1.RecommendSpecResponse.MachineAndModelContainerSpec specs = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
int getSpecsCount()
Output only. The machine and model container specs.
repeated .google.cloud.aiplatform.v1beta1.RecommendSpecResponse.MachineAndModelContainerSpec specs = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
List<? extends RecommendSpecResponse.MachineAndModelContainerSpecOrBuilder> getSpecsOrBuilderList()
Output only. The machine and model container specs.
repeated .google.cloud.aiplatform.v1beta1.RecommendSpecResponse.MachineAndModelContainerSpec specs = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
RecommendSpecResponse.MachineAndModelContainerSpecOrBuilder getSpecsOrBuilder(int index)
Output only. The machine and model container specs.
repeated .google.cloud.aiplatform.v1beta1.RecommendSpecResponse.MachineAndModelContainerSpec specs = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
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