phpOMS/Math/Finance/Forecasting/ExponentialSmoothing/ExponentialSmoothing.php

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PHP

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<?php
/**
* Orange Management
*
* PHP Version 7.1
*
* @category TBD
* @package TBD
* @author OMS Development Team <dev@oms.com>
* @author Dennis Eichhorn <d.eichhorn@oms.com>
* @copyright 2013 Dennis Eichhorn
* @license OMS License 1.0
* @version 1.0.0
* @link http://orange-management.com
*/
namespace phpOMS\Math\Finance\Forecasting\ExponentialSmoothing;
use phpOMS\Math\Finance\Forecasting\SmoothingType;
use phpOMS\Math\Statistic\Average;
use phpOMS\Math\Statistic\Forecast\Error;
class Holt implements ExponentialSmoothingInterface
{
private $data = [];
private $errors = [];
private $rmse = 0.0;
private $mse = 0.0;
private $mae = 0.0;
private $sse = 0.0;
public function __construct(array $data)
{
$this->data = $data;
}
public function getRMSE() : float
{
return $this->rmse;
}
public function getMSE() : float
{
return $this->mse;
}
public function getMAE() : float
{
return $this->mae;
}
public function getSSE() : float
{
return $this->sse;
}
public function getErrors() : array
{
return $this->errors;
}
public function forecast(int $future, int $trendType = TrendType::NONE, int $seasonalType = SeasonalType::NONE, int $cycle = 12, float $damping = 1) : array
{
if($trendType === TrendType::ALL || $seasonalType === SeasonalType::ALL) {
// todo: loob through all and find best
} elseif($trendType === TrendType::NONE && $seasonalType === SeasonalType::NONE) {
return $this->getNoneNone($future, $alpha);
} elseif($trendType === TrendType::NONE && $seasonalType === SeasonalType::ADDITIVE) {
return $this->getNoneAdditive($future, $alpha, $gamma, $cycle);
} elseif($trendType === TrendType::NONE && $seasonalType === SeasonalType::MULTIPLICATIVE) {
return $this->getNoneMultiplicative($future, $alpha, $gamma, $cycle);
} elseif($trendType === TrendType::ADDITIVE && $seasonalType === SeasonalType::NONE) {
return $this->getAdditiveNone($future, $alpha, $damping);
} elseif($trendType === TrendType::ADDITIVE && $seasonalType === SeasonalType::ADDITIVE) {
return $this->getAdditiveAdditive($future, $alpha, $beta, $gamma, $cycle, $damping);
} elseif($trendType === TrendType::ADDITIVE && $seasonalType === SeasonalType::MULTIPLICATIVE) {
return $this->getAdditiveMultiplicative($future, $alpha, $beta, $gamma, $cycle, $damping);
} elseif($trendType === TrendType::MULTIPLICATIVE && $seasonalType === SeasonalType::NONE) {
return $this->getMultiplicativeNone($future);
} elseif($trendType === TrendType::MULTIPLICATIVE && $seasonalType === SeasonalType::ADDITIVE) {
return $this->getMultiplicativeAdditive($future, $cycle, $damping);
} elseif($trendType === TrendType::MULTIPLICATIVE && $seasonalType === SeasonalType::MULTIPLICATIVE) {
return $this->getMultiplicativeMultiplicative($future, $cycle, $damping);
}
}
private dampingSum(float $damping, int $length) : float
{
$sum = 0;
for($i = 0; $i < $length; $i++) {
$sum += pow($damping, $i);
}
return $sum;
}
public function getNoneNone($future, $alpha) : array
{
$level[0] = $data[0];
$dataLength = count($this->data) + $future;
$forecast = [];
for($i = 1; $i < $dataLength; $i++) {
$level[] = $alpha * $this->data[$i-1] + (1 - $alpha) * $level[$i-1];
$forecast[] = $level[$i];
}
return $forecast;
}
public function getNoneAdditive(int $future, float $alpha, float $gamma, int $cycle) : array
{
$level[0] = $data[0];
$dataLength = count($this->data) + $future;
$forecast = [];
$gamma_ = $gamma * (1 - $alpha);
for($i = 0; $i < $cycle; $i++) {
$seasonal[$i] = $data[$i] - $level[0];
}
for($i = 1; $i < $dataLength; $i++) {
$hm = (int) floor(($i-1) % $cycle) + 1;
$level[] = $alpha * ($this->data[$i-1] - $seasonal[$i]) + (1 - $alpha) * $level[$i-1];
$seasonal[] = $gamma_*($this->data[$i-1] - $level[$i-1]) + (1 - $gamma_) * $seasonal[$i];
$forecast[] = $level[$i] + $seasonal[$i+$hm];
}
return $forecast;
}
public function getNoneMultiplicative(int $future, float $alpha, float $gamma, int $cycle) : array
{
$level[0] = $data[0];
$dataLength = count($this->data) + $future;
$forecast = [];
$gamma_ = $gamma * (1 - $alpha);
for($i = 0; $i < $cycle; $i++) {
$seasonal[$i] = $this->data[$i] / $level[0];
}
for($i = 1; $i < $dataLength; $i++) {
$hm = (int) floor(($i-1) % $cycle) + 1;
$level[] = $alpha * ($this->data[$i-1] / $seasonal[$i]) + (1 - $alpha) * $level[$i-1];
$seasonal[] = $gamma_*($this->data[$i-1] / $level[$i-1]) + (1 - $gamma_) * $seasonal[$i]
$forecast[] = $level[$i] + $seasonal[$i+$hm];
}
return $forecast;
}
public function getAdditiveNone(int $future, float $alpha, float $damping) : array
{
$level[0] = $this->data[0];
$trend[0] = $this->data[1] - $this->data[0];
$dataLength = count($this->data) + $future;
$forecast = [];
for($i = 1; $i < $dataLength; $i++) {
$level[] = $alpha * $this->data[$i-1] + (1 - $alpha) * ($level[$i-1] + $damping * $trend[$i-1]);
$trend[] = $beta * ($level[$i] - $level[$i-1]) + (1 - $beta) * $damping * $trend[$i-1];
$forecast[] = $level[$i] + $this->dampingSum($damping, $i) * $trend[$i];
}
return $forecast;
}
public function getAdditiveAdditive(int $future, float $alpha, float $beta, float $gamma, int $cycle, float $damping) : array
{
$level[0] = $1 / $cycle * array_sum($this->data, 0, $cycle);
$trend[0] = 1 / $cycle;
$dataLength = count($this->data) + $future;
$forecast = [];
$gamma_ = $gamma * (1 - $alpha);
$sum = 0;
for($i = 0; $i < $cycle; $i++) {
$sum += ($this->data[$cycle] - $this->data[$i]) / $cycle;
}
$trend[0] *= $sum;
for($i = 0; $i < $cycle; $i++) {
$seasonal[$i] = $data[$i] - $level[0];
}
for($i = 1; $i < $dataLength; $i++) {
$hm = (int) floor(($i-1) % $cycle) + 1;
$level[] = $alpha * ($this->data[$i-1] - $seasonal[$i]) + (1 - $alpha) * ($level[$i-1] + $damping * $trend[$i-1]);
$trend[] = $beta * ($level[$i] - $level[$i-1]) + (1 - $beta) * $damping * $trend[$i-1];
$seasonal[] = $gamma_*($this->data[$i-1] - $level[$i-1]) + (1 - $gamma_) * $seasonal[$i];
$forecast[] = $level[$i] + $this->dampingSum($damping, $i) * $trend[$i] + $seasonal[$i+$hm];
}
return $forecast;
}
public function getAdditiveMultiplicative(int $future, float $alpha, float $beta, float $gamma, int $cycle, float $damping) : array
{
$level[0] = 1 / $cycle * array_sum($this->data, 0, $cycle);
$trend[0] = 1 / $cycle;
$dataLength = count($this->data) + $future;
$forecast = [];
$gamma_ = $gamma * (1 - $alpha);
$sum = 0;
for($i = 0; $i < $cycle; $i++) {
$sum += ($this->data[$cycle] - $this->data[$i]) / $cycle;
}
$trend[0] *= $sum;
for($i = 0; $i < $cycle; $i++) {
$seasonal[$i] = $this->data[$i] / $level[0];
}
for($i = 1; $i < $dataLength; $i++) {
$hm = (int) floor(($i-1) % $cycle) + 1;
$level[] = $alpha * ($this->data[$i-1] / $seasonal[$i]) + (1 - $alpha) * ($level[$i-1] + $damping * $trend[$i-1]);
$trend[] = $beta * ($level[$i] - $level[$i-1]) + (1 - $beta) * $damping * $trend[$i-1];
$seasonal[] = $gamma_*($this->data[$i-1] / ($level[$i-1] + $damping * $trend[$i-1]) + (1 - $gamma_) * $seasonal[$i];
$forecast[] = ($level[$i] + $this->dampingSum($damping, $i) * $trend[$i-1]) * $seasonal[$i+$hm];
}
return $forecast;
}
public function getMultiplicativeNone() : array
{
$level[0] = $this->data[0];
$trend[0] = $this->data[1] / $this->data[0];
}
public function getMultiplicativeAdditive() : array
{
$level[0] = $this->data[0];
$trend[0] = 1 / $cycle;
$sum = 0;
for($i = 0; $i < $cycle; $i++) {
$sum += ($this->data[$cycle] - $this->data[$i]) / $cycle;
}
$trend[0] *= $sum;
for($i = 0; $i < $cycle; $i++) {
$seasonal[$i] = $data[$i] - $level[0];
}
}
public function getMultiplicativeMultiplicative() : array
{
$level[0] = $this->data[0];
$trend[0] = 1 / $cycle;
$sum = 0;
for($i = 0; $i < $cycle; $i++) {
$sum += ($this->data[$cycle] - $this->data[$i]) / $cycle;
}
$trend[0] *= $sum;
for($i = 0; $i < $cycle; $i++) {
$seasonal[$i] = $this->data[$i] / $level[0];
}
}
}