google.cloud.aiplatform.v1.StratifiedSplit
*/
class StratifiedSplit extends \Google\Protobuf\Internal\Message
{
/**
* The fraction of the input data that is to be used to train the Model.
*
* Generated from protobuf field double training_fraction = 1;
*/
private $training_fraction = 0.0;
/**
* The fraction of the input data that is to be used to validate the Model.
*
* Generated from protobuf field double validation_fraction = 2;
*/
private $validation_fraction = 0.0;
/**
* The fraction of the input data that is to be used to evaluate the Model.
*
* Generated from protobuf field double test_fraction = 3;
*/
private $test_fraction = 0.0;
/**
* Required. The key is a name of one of the Dataset's data columns.
* The key provided must be for a categorical column.
*
* Generated from protobuf field string key = 4 [(.google.api.field_behavior) = REQUIRED];
*/
private $key = '';
/**
* Constructor.
*
* @param array $data {
* Optional. Data for populating the Message object.
*
* @type float $training_fraction
* The fraction of the input data that is to be used to train the Model.
* @type float $validation_fraction
* The fraction of the input data that is to be used to validate the Model.
* @type float $test_fraction
* The fraction of the input data that is to be used to evaluate the Model.
* @type string $key
* Required. The key is a name of one of the Dataset's data columns.
* The key provided must be for a categorical column.
* }
*/
public function __construct($data = NULL) {
\GPBMetadata\Google\Cloud\Aiplatform\V1\TrainingPipeline::initOnce();
parent::__construct($data);
}
/**
* The fraction of the input data that is to be used to train the Model.
*
* Generated from protobuf field double training_fraction = 1;
* @return float
*/
public function getTrainingFraction()
{
return $this->training_fraction;
}
/**
* The fraction of the input data that is to be used to train the Model.
*
* Generated from protobuf field double training_fraction = 1;
* @param float $var
* @return $this
*/
public function setTrainingFraction($var)
{
GPBUtil::checkDouble($var);
$this->training_fraction = $var;
return $this;
}
/**
* The fraction of the input data that is to be used to validate the Model.
*
* Generated from protobuf field double validation_fraction = 2;
* @return float
*/
public function getValidationFraction()
{
return $this->validation_fraction;
}
/**
* The fraction of the input data that is to be used to validate the Model.
*
* Generated from protobuf field double validation_fraction = 2;
* @param float $var
* @return $this
*/
public function setValidationFraction($var)
{
GPBUtil::checkDouble($var);
$this->validation_fraction = $var;
return $this;
}
/**
* The fraction of the input data that is to be used to evaluate the Model.
*
* Generated from protobuf field double test_fraction = 3;
* @return float
*/
public function getTestFraction()
{
return $this->test_fraction;
}
/**
* The fraction of the input data that is to be used to evaluate the Model.
*
* Generated from protobuf field double test_fraction = 3;
* @param float $var
* @return $this
*/
public function setTestFraction($var)
{
GPBUtil::checkDouble($var);
$this->test_fraction = $var;
return $this;
}
/**
* Required. The key is a name of one of the Dataset's data columns.
* The key provided must be for a categorical column.
*
* Generated from protobuf field string key = 4 [(.google.api.field_behavior) = REQUIRED];
* @return string
*/
public function getKey()
{
return $this->key;
}
/**
* Required. The key is a name of one of the Dataset's data columns.
* The key provided must be for a categorical column.
*
* Generated from protobuf field string key = 4 [(.google.api.field_behavior) = REQUIRED];
* @param string $var
* @return $this
*/
public function setKey($var)
{
GPBUtil::checkString($var, True);
$this->key = $var;
return $this;
}
}