google.cloud.aiplatform.v1.ActiveLearningConfig
*/
class ActiveLearningConfig extends \Google\Protobuf\Internal\Message
{
/**
* Active learning data sampling config. For every active learning labeling
* iteration, it will select a batch of data based on the sampling strategy.
*
* Generated from protobuf field .google.cloud.aiplatform.v1.SampleConfig sample_config = 3;
*/
private $sample_config = null;
/**
* CMLE training config. For every active learning labeling iteration, system
* will train a machine learning model on CMLE. The trained model will be used
* by data sampling algorithm to select DataItems.
*
* Generated from protobuf field .google.cloud.aiplatform.v1.TrainingConfig training_config = 4;
*/
private $training_config = null;
protected $human_labeling_budget;
/**
* Constructor.
*
* @param array $data {
* Optional. Data for populating the Message object.
*
* @type int|string $max_data_item_count
* Max number of human labeled DataItems.
* @type int $max_data_item_percentage
* Max percent of total DataItems for human labeling.
* @type \Google\Cloud\AIPlatform\V1\SampleConfig $sample_config
* Active learning data sampling config. For every active learning labeling
* iteration, it will select a batch of data based on the sampling strategy.
* @type \Google\Cloud\AIPlatform\V1\TrainingConfig $training_config
* CMLE training config. For every active learning labeling iteration, system
* will train a machine learning model on CMLE. The trained model will be used
* by data sampling algorithm to select DataItems.
* }
*/
public function __construct($data = NULL) {
\GPBMetadata\Google\Cloud\Aiplatform\V1\DataLabelingJob::initOnce();
parent::__construct($data);
}
/**
* Max number of human labeled DataItems.
*
* Generated from protobuf field int64 max_data_item_count = 1;
* @return int|string
*/
public function getMaxDataItemCount()
{
return $this->readOneof(1);
}
public function hasMaxDataItemCount()
{
return $this->hasOneof(1);
}
/**
* Max number of human labeled DataItems.
*
* Generated from protobuf field int64 max_data_item_count = 1;
* @param int|string $var
* @return $this
*/
public function setMaxDataItemCount($var)
{
GPBUtil::checkInt64($var);
$this->writeOneof(1, $var);
return $this;
}
/**
* Max percent of total DataItems for human labeling.
*
* Generated from protobuf field int32 max_data_item_percentage = 2;
* @return int
*/
public function getMaxDataItemPercentage()
{
return $this->readOneof(2);
}
public function hasMaxDataItemPercentage()
{
return $this->hasOneof(2);
}
/**
* Max percent of total DataItems for human labeling.
*
* Generated from protobuf field int32 max_data_item_percentage = 2;
* @param int $var
* @return $this
*/
public function setMaxDataItemPercentage($var)
{
GPBUtil::checkInt32($var);
$this->writeOneof(2, $var);
return $this;
}
/**
* Active learning data sampling config. For every active learning labeling
* iteration, it will select a batch of data based on the sampling strategy.
*
* Generated from protobuf field .google.cloud.aiplatform.v1.SampleConfig sample_config = 3;
* @return \Google\Cloud\AIPlatform\V1\SampleConfig|null
*/
public function getSampleConfig()
{
return $this->sample_config;
}
public function hasSampleConfig()
{
return isset($this->sample_config);
}
public function clearSampleConfig()
{
unset($this->sample_config);
}
/**
* Active learning data sampling config. For every active learning labeling
* iteration, it will select a batch of data based on the sampling strategy.
*
* Generated from protobuf field .google.cloud.aiplatform.v1.SampleConfig sample_config = 3;
* @param \Google\Cloud\AIPlatform\V1\SampleConfig $var
* @return $this
*/
public function setSampleConfig($var)
{
GPBUtil::checkMessage($var, \Google\Cloud\AIPlatform\V1\SampleConfig::class);
$this->sample_config = $var;
return $this;
}
/**
* CMLE training config. For every active learning labeling iteration, system
* will train a machine learning model on CMLE. The trained model will be used
* by data sampling algorithm to select DataItems.
*
* Generated from protobuf field .google.cloud.aiplatform.v1.TrainingConfig training_config = 4;
* @return \Google\Cloud\AIPlatform\V1\TrainingConfig|null
*/
public function getTrainingConfig()
{
return $this->training_config;
}
public function hasTrainingConfig()
{
return isset($this->training_config);
}
public function clearTrainingConfig()
{
unset($this->training_config);
}
/**
* CMLE training config. For every active learning labeling iteration, system
* will train a machine learning model on CMLE. The trained model will be used
* by data sampling algorithm to select DataItems.
*
* Generated from protobuf field .google.cloud.aiplatform.v1.TrainingConfig training_config = 4;
* @param \Google\Cloud\AIPlatform\V1\TrainingConfig $var
* @return $this
*/
public function setTrainingConfig($var)
{
GPBUtil::checkMessage($var, \Google\Cloud\AIPlatform\V1\TrainingConfig::class);
$this->training_config = $var;
return $this;
}
/**
* @return string
*/
public function getHumanLabelingBudget()
{
return $this->whichOneof("human_labeling_budget");
}
}