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/*
* Copyright 2024 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: google/cloud/automl/v1beta1/image.proto
// Protobuf Java Version: 3.25.5
package com.google.cloud.automl.v1beta1;
public interface ImageClassificationModelMetadataOrBuilder
extends
// @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.ImageClassificationModelMetadata)
com.google.protobuf.MessageOrBuilder {
/**
*
*
*
* Optional. The ID of the `base` model. If it is specified, the new model
* will be created based on the `base` model. Otherwise, the new model will be
* created from scratch. The `base` model must be in the same
* `project` and `location` as the new model to create, and have the same
* `model_type`.
*
*
* string base_model_id = 1;
*
* @return The baseModelId.
*/
java.lang.String getBaseModelId();
/**
*
*
*
* Optional. The ID of the `base` model. If it is specified, the new model
* will be created based on the `base` model. Otherwise, the new model will be
* created from scratch. The `base` model must be in the same
* `project` and `location` as the new model to create, and have the same
* `model_type`.
*
*
* string base_model_id = 1;
*
* @return The bytes for baseModelId.
*/
com.google.protobuf.ByteString getBaseModelIdBytes();
/**
*
*
*
* Required. The train budget of creating this model, expressed in hours. The
* actual `train_cost` will be equal or less than this value.
*
*
* int64 train_budget = 2;
*
* @return The trainBudget.
*/
long getTrainBudget();
/**
*
*
*
* Output only. The actual train cost of creating this model, expressed in
* hours. If this model is created from a `base` model, the train cost used
* to create the `base` model are not included.
*
*
* int64 train_cost = 3;
*
* @return The trainCost.
*/
long getTrainCost();
/**
*
*
*
* Output only. The reason that this create model operation stopped,
* e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
*
*
* string stop_reason = 5;
*
* @return The stopReason.
*/
java.lang.String getStopReason();
/**
*
*
*
* Output only. The reason that this create model operation stopped,
* e.g. `BUDGET_REACHED`, `MODEL_CONVERGED`.
*
*
* string stop_reason = 5;
*
* @return The bytes for stopReason.
*/
com.google.protobuf.ByteString getStopReasonBytes();
/**
*
*
*
* Optional. Type of the model. The available values are:
* * `cloud` - Model to be used via prediction calls to AutoML API.
* This is the default value.
* * `mobile-low-latency-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
* [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
* with TensorFlow afterwards. Expected to have low latency, but
* may have lower prediction quality than other models.
* * `mobile-versatile-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
* [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
* with TensorFlow afterwards.
* * `mobile-high-accuracy-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
* [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
* with TensorFlow afterwards. Expected to have a higher
* latency, but should also have a higher prediction quality
* than other models.
* * `mobile-core-ml-low-latency-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
* [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
* ML afterwards. Expected to have low latency, but may have
* lower prediction quality than other models.
* * `mobile-core-ml-versatile-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
* [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
* ML afterwards.
* * `mobile-core-ml-high-accuracy-1` - A model that, in addition to
* providing prediction via AutoML API, can also be exported
* (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
* Core ML afterwards. Expected to have a higher latency, but
* should also have a higher prediction quality than other
* models.
*
*
* string model_type = 7;
*
* @return The modelType.
*/
java.lang.String getModelType();
/**
*
*
*
* Optional. Type of the model. The available values are:
* * `cloud` - Model to be used via prediction calls to AutoML API.
* This is the default value.
* * `mobile-low-latency-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
* [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
* with TensorFlow afterwards. Expected to have low latency, but
* may have lower prediction quality than other models.
* * `mobile-versatile-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
* [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
* with TensorFlow afterwards.
* * `mobile-high-accuracy-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
* [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile or edge device
* with TensorFlow afterwards. Expected to have a higher
* latency, but should also have a higher prediction quality
* than other models.
* * `mobile-core-ml-low-latency-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
* [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
* ML afterwards. Expected to have low latency, but may have
* lower prediction quality than other models.
* * `mobile-core-ml-versatile-1` - A model that, in addition to providing
* prediction via AutoML API, can also be exported (see
* [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with Core
* ML afterwards.
* * `mobile-core-ml-high-accuracy-1` - A model that, in addition to
* providing prediction via AutoML API, can also be exported
* (see [AutoMl.ExportModel][google.cloud.automl.v1beta1.AutoMl.ExportModel]) and used on a mobile device with
* Core ML afterwards. Expected to have a higher latency, but
* should also have a higher prediction quality than other
* models.
*
*
* string model_type = 7;
*
* @return The bytes for modelType.
*/
com.google.protobuf.ByteString getModelTypeBytes();
/**
*
*
*
* Output only. An approximate number of online prediction QPS that can
* be supported by this model per each node on which it is deployed.
*
*
* double node_qps = 13;
*
* @return The nodeQps.
*/
double getNodeQps();
/**
*
*
*
* Output only. The number of nodes this model is deployed on. A node is an
* abstraction of a machine resource, which can handle online prediction QPS
* as given in the node_qps field.
*
*
* int64 node_count = 14;
*
* @return The nodeCount.
*/
long getNodeCount();
}