lowerBound = $lowerBound; } /** * @return float */ public function getLowerBound() { return $this->lowerBound; } /** * Quantile predictions, in 1-1 correspondence with quantile_values. * * @param float[] $quantilePredictions */ public function setQuantilePredictions($quantilePredictions) { $this->quantilePredictions = $quantilePredictions; } /** * @return float[] */ public function getQuantilePredictions() { return $this->quantilePredictions; } /** * Quantile values. * * @param float[] $quantileValues */ public function setQuantileValues($quantileValues) { $this->quantileValues = $quantileValues; } /** * @return float[] */ public function getQuantileValues() { return $this->quantileValues; } /** * The upper bound of the prediction interval. * * @param float $upperBound */ public function setUpperBound($upperBound) { $this->upperBound = $upperBound; } /** * @return float */ public function getUpperBound() { return $this->upperBound; } /** * The regression value. * * @param float $value */ public function setValue($value) { $this->value = $value; } /** * @return float */ public function getValue() { return $this->value; } } // Adding a class alias for backwards compatibility with the previous class name. class_alias(GoogleCloudAiplatformV1SchemaPredictPredictionTabularRegressionPredictionResult::class, 'Google_Service_Aiplatform_GoogleCloudAiplatformV1SchemaPredictPredictionTabularRegressionPredictionResult');