File "GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageSegmentationInputs.php"
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<?php
/*
* Copyright 2014 Google Inc.
*
* 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
*
* http://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.
*/
namespace Google\Service\Aiplatform;
class GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageSegmentationInputs extends \Google\Model
{
/**
* Should not be set.
*/
public const MODEL_TYPE_MODEL_TYPE_UNSPECIFIED = 'MODEL_TYPE_UNSPECIFIED';
/**
* A model to be used via prediction calls to uCAIP API. Expected to have a
* higher latency, but should also have a higher prediction quality than other
* models.
*/
public const MODEL_TYPE_CLOUD_HIGH_ACCURACY_1 = 'CLOUD_HIGH_ACCURACY_1';
/**
* A model to be used via prediction calls to uCAIP API. Expected to have a
* lower latency but relatively lower prediction quality.
*/
public const MODEL_TYPE_CLOUD_LOW_ACCURACY_1 = 'CLOUD_LOW_ACCURACY_1';
/**
* A model that, in addition to being available within Google Cloud, can also
* be exported (see ModelService.ExportModel) as TensorFlow model and used on
* a mobile or edge device afterwards. Expected to have low latency, but may
* have lower prediction quality than other mobile models.
*/
public const MODEL_TYPE_MOBILE_TF_LOW_LATENCY_1 = 'MOBILE_TF_LOW_LATENCY_1';
/**
* The ID of the `base` model. If it is specified, the new model will be
* trained based on the `base` model. Otherwise, the new model will be trained
* from scratch. The `base` model must be in the same Project and Location as
* the new Model to train, and have the same modelType.
*
* @var string
*/
public $baseModelId;
/**
* The training budget of creating this model, expressed in milli node hours
* i.e. 1,000 value in this field means 1 node hour. The actual
* metadata.costMilliNodeHours will be equal or less than this value. If
* further model training ceases to provide any improvements, it will stop
* without using the full budget and the metadata.successfulStopReason will be
* `model-converged`. Note, node_hour = actual_hour *
* number_of_nodes_involved. Or actual_wall_clock_hours =
* train_budget_milli_node_hours / (number_of_nodes_involved * 1000) For
* modelType `cloud-high-accuracy-1`(default), the budget must be between
* 20,000 and 2,000,000 milli node hours, inclusive. The default value is
* 192,000 which represents one day in wall time (1000 milli * 24 hours * 8
* nodes).
*
* @var string
*/
public $budgetMilliNodeHours;
/**
* @var string
*/
public $modelType;
/**
* The ID of the `base` model. If it is specified, the new model will be
* trained based on the `base` model. Otherwise, the new model will be trained
* from scratch. The `base` model must be in the same Project and Location as
* the new Model to train, and have the same modelType.
*
* @param string $baseModelId
*/
public function setBaseModelId($baseModelId)
{
$this->baseModelId = $baseModelId;
}
/**
* @return string
*/
public function getBaseModelId()
{
return $this->baseModelId;
}
/**
* The training budget of creating this model, expressed in milli node hours
* i.e. 1,000 value in this field means 1 node hour. The actual
* metadata.costMilliNodeHours will be equal or less than this value. If
* further model training ceases to provide any improvements, it will stop
* without using the full budget and the metadata.successfulStopReason will be
* `model-converged`. Note, node_hour = actual_hour *
* number_of_nodes_involved. Or actual_wall_clock_hours =
* train_budget_milli_node_hours / (number_of_nodes_involved * 1000) For
* modelType `cloud-high-accuracy-1`(default), the budget must be between
* 20,000 and 2,000,000 milli node hours, inclusive. The default value is
* 192,000 which represents one day in wall time (1000 milli * 24 hours * 8
* nodes).
*
* @param string $budgetMilliNodeHours
*/
public function setBudgetMilliNodeHours($budgetMilliNodeHours)
{
$this->budgetMilliNodeHours = $budgetMilliNodeHours;
}
/**
* @return string
*/
public function getBudgetMilliNodeHours()
{
return $this->budgetMilliNodeHours;
}
/**
* @param self::MODEL_TYPE_* $modelType
*/
public function setModelType($modelType)
{
$this->modelType = $modelType;
}
/**
* @return self::MODEL_TYPE_*
*/
public function getModelType()
{
return $this->modelType;
}
}
// Adding a class alias for backwards compatibility with the previous class name.
class_alias(GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageSegmentationInputs::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1SchemaTrainingjobDefinitionAutoMlImageSegmentationInputs');