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php-cs-fxier
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@ -57,5 +57,4 @@ class InvalidArgumentException extends \Exception
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{
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return new self('Inconsistent matrix aupplied');
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}
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}
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@ -21,5 +21,4 @@ class MatrixException extends \Exception
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{
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return new self('Column out of range');
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}
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}
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@ -1,5 +1,6 @@
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<?php
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declare(strict_types = 1);
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declare (strict_types = 1);
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namespace Phpml\Math;
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@ -30,7 +31,7 @@ class Matrix
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/**
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* @param array $matrix
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* @param bool $validate
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* @param bool $validate
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*
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* @throws InvalidArgumentException
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*/
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@ -39,8 +40,8 @@ class Matrix
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$this->rows = count($matrix);
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$this->columns = count($matrix[0]);
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if($validate) {
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for ($i = 0; $i < $this->rows; $i++) {
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if ($validate) {
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for ($i = 0; $i < $this->rows; ++$i) {
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if (count($matrix[$i]) !== $this->columns) {
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throw InvalidArgumentException::matrixDimensionsDidNotMatch();
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}
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@ -83,12 +84,12 @@ class Matrix
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*/
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public function getColumnValues($column)
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{
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if($column >= $this->columns) {
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if ($column >= $this->columns) {
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throw MatrixException::columnOutOfRange();
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}
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$values = [];
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for ($i = 0; $i < $this->rows; $i++) {
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for ($i = 0; $i < $this->rows; ++$i) {
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$values[] = $this->matrix[$i][$column];
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}
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@ -102,7 +103,7 @@ class Matrix
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*/
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public function getDeterminant()
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{
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if($this->determinant) {
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if ($this->determinant) {
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return $this->determinant;
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}
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@ -113,11 +114,11 @@ class Matrix
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$determinant = 0;
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if ($this->rows == 1 && $this->columns == 1) {
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$determinant = $this->matrix[0][0];
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} else if ($this->rows == 2 && $this->columns == 2) {
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} elseif ($this->rows == 2 && $this->columns == 2) {
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$determinant = $this->matrix[0][0] * $this->matrix[1][1] -
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$this->matrix[0][1] * $this->matrix[1][0];
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} else {
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for ($j = 0; $j < $this->columns; $j++) {
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for ($j = 0; $j < $this->columns; ++$j) {
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$subMatrix = $this->crossOut(0, $j);
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if (fmod($j, 2) == 0) {
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$determinant += $this->matrix[0][$j] * $subMatrix->getDeterminant();
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@ -130,7 +131,7 @@ class Matrix
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return $this->determinant = $determinant;
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}
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/**
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/**
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* @return bool
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*/
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public function isSquare()
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@ -144,8 +145,8 @@ class Matrix
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public function transpose()
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{
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$newMatrix = [];
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for ($i = 0; $i < $this->rows; $i++) {
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for ($j = 0; $j < $this->columns; $j++) {
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for ($i = 0; $i < $this->rows; ++$i) {
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for ($j = 0; $j < $this->columns; ++$j) {
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$newMatrix[$j][$i] = $this->matrix[$i][$j];
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}
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}
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@ -168,14 +169,15 @@ class Matrix
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$product = [];
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$multiplier = $matrix->toArray();
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for ($i = 0; $i < $this->rows; $i++) {
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for ($j = 0; $j < $matrix->getColumns(); $j++) {
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for ($i = 0; $i < $this->rows; ++$i) {
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for ($j = 0; $j < $matrix->getColumns(); ++$j) {
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$product[$i][$j] = 0;
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for ($k = 0; $k < $this->columns; $k++) {
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for ($k = 0; $k < $this->columns; ++$k) {
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$product[$i][$j] += $this->matrix[$i][$k] * $multiplier[$k][$j];
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}
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}
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}
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return new self($product, false);
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}
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@ -187,8 +189,8 @@ class Matrix
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public function divideByScalar($value)
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{
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$newMatrix = array();
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for ($i = 0; $i < $this->rows; $i++) {
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for ($j = 0; $j < $this->columns; $j++) {
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for ($i = 0; $i < $this->rows; ++$i) {
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for ($j = 0; $j < $this->columns; ++$j) {
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$newMatrix[$i][$j] = $this->matrix[$i][$j] / $value;
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}
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}
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@ -208,8 +210,8 @@ class Matrix
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}
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$newMatrix = array();
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for ($i = 0; $i < $this->rows; $i++) {
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for ($j = 0; $j < $this->columns; $j++) {
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for ($i = 0; $i < $this->rows; ++$i) {
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for ($j = 0; $j < $this->columns; ++$j) {
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$subMatrix = $this->crossOut($i, $j);
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if (fmod($i + $j, 2) == 0) {
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$newMatrix[$i][$j] = ($subMatrix->getDeterminant());
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@ -234,20 +236,19 @@ class Matrix
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{
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$newMatrix = [];
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$r = 0;
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for ($i = 0; $i < $this->rows; $i++) {
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for ($i = 0; $i < $this->rows; ++$i) {
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$c = 0;
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if ($row != $i) {
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for ($j = 0; $j < $this->columns; $j++) {
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for ($j = 0; $j < $this->columns; ++$j) {
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if ($column != $j) {
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$newMatrix[$r][$c] = $this->matrix[$i][$j];
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$c++;
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++$c;
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}
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}
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$r++;
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++$r;
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}
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}
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return new self($newMatrix, false);
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}
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}
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@ -64,7 +64,7 @@ class LeastSquares implements Regression
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}
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/**
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* coefficient(b) = (X'X)-1X'Y
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* coefficient(b) = (X'X)-1X'Y.
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*/
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private function computeCoefficients()
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{
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@ -22,7 +22,7 @@ class LeastSquaresTest extends \PHPUnit_Framework_TestCase
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$this->assertEquals(4.06, $regression->predict([64]), '', $delta);
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//http://www.stat.wmich.edu/s216/book/node127.html
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$samples = [[1 ,9300], [1, 10565], [1, 15000], [1, 15000], [1, 17764], [1, 57000], [1, 65940], [1, 73676], [1, 77006], [1, 93739], [1, 146088], [1, 153260]];
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$samples = [[1, 9300], [1, 10565], [1, 15000], [1, 15000], [1, 17764], [1, 57000], [1, 65940], [1, 73676], [1, 77006], [1, 93739], [1, 146088], [1, 153260]];
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$targets = [[7100], [15500], [4400], [4400], [5900], [4600], [8800], [2000], [2750], [2550], [960], [1025]];
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$regression = new LeastSquares();
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@ -40,13 +40,12 @@ class LeastSquaresTest extends \PHPUnit_Framework_TestCase
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$delta = 1;
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//http://www.stat.wmich.edu/s216/book/node129.html
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$samples = [[1, 73676, 1996],[1, 77006, 1998],[1, 10565, 2000],[1, 146088, 1995],[1, 15000, 2001],[1, 65940, 2000],[1, 9300, 2000],[1, 93739, 1996],[1, 153260, 1994],[1, 17764, 2002],[1, 57000, 1998],[1, 15000, 2000]];
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$targets = [[2000], [ 2750], [15500], [ 960], [ 4400], [ 8800], [ 7100], [ 2550], [ 1025], [ 5900], [ 4600], [ 4400]];
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$samples = [[1, 73676, 1996], [1, 77006, 1998], [1, 10565, 2000], [1, 146088, 1995], [1, 15000, 2001], [1, 65940, 2000], [1, 9300, 2000], [1, 93739, 1996], [1, 153260, 1994], [1, 17764, 2002], [1, 57000, 1998], [1, 15000, 2000]];
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$targets = [[2000], [2750], [15500], [960], [4400], [8800], [7100], [2550], [1025], [5900], [4600], [4400]];
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$regression = new LeastSquares();
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$regression->train($samples, $targets);
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$this->assertEquals(4094, $regression->predict([60000, 1996]), '', $delta);
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}
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}
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