Passed
Push — master ( 6281da...c1b1a5 )
by Arkadiusz
02:58
created
src/Phpml/Helper/Trainable.php 1 patch
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@@ -1,6 +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\Helper;
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src/Phpml/Dataset/Demo/IrisDataset.php 1 patch
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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\Dataset\Demo;
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src/Phpml/Dataset/Demo/WineDataset.php 1 patch
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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\Dataset\Demo;
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src/Phpml/Dataset/FilesDataset.php 1 patch
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@@ -1,6 +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\Dataset;
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src/Phpml/Dataset/ArrayDataset.php 1 patch
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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\Dataset;
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src/Phpml/Dataset/Dataset.php 1 patch
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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\Dataset;
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src/Phpml/Metric/ClassificationReport.php 1 patch
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@@ -1,6 +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\Metric;
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src/Phpml/Metric/ConfusionMatrix.php 1 patch
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@@ -1,6 +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\Metric;
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src/Phpml/Classification/DecisionTree.php 1 patch
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@@ -1,6 +1,6 @@  discard block
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-declare(strict_types=1);
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+declare(strict_types = 1);
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 namespace Phpml\Classification;
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@@ -75,7 +75,7 @@  discard block
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     protected function getColumnTypes(array $samples)
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     {
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         $types = [];
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-        for ($i=0; $i<$this->featureCount; $i++) {
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+        for ($i = 0; $i < $this->featureCount; $i++) {
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             $values = array_column($samples, $i);
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             $isCategorical = $this->isCategoricalColumn($values);
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             $types[] = $isCategorical ? self::NOMINAL : self::CONTINUOS;
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             $this->actualDepth = $depth;
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         }
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         $leftRecords = [];
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-        $rightRecords= [];
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+        $rightRecords = [];
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         $remainingTargets = [];
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         $prevRecord = null;
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         $allSame = true;
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             if ($split->evaluate($record)) {
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                 $leftRecords[] = $recordNo;
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             } else {
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-                $rightRecords[]= $recordNo;
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+                $rightRecords[] = $recordNo;
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             }
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             $target = $this->targets[$recordNo];
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-            if (! in_array($target, $remainingTargets)) {
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+            if (!in_array($target, $remainingTargets)) {
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                 $remainingTargets[] = $target;
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             }
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         }
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                 $split->leftLeaf = $this->getSplitLeaf($leftRecords, $depth + 1);
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             }
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             if ($rightRecords) {
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-                $split->rightLeaf= $this->getSplitLeaf($rightRecords, $depth + 1);
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+                $split->rightLeaf = $this->getSplitLeaf($rightRecords, $depth + 1);
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             }
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         }
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         return $split;
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         $samples = array_combine($records, $this->preprocess($samples));
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         $bestGiniVal = 1;
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         $bestSplit = null;
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-        for ($i=0; $i<$this->featureCount; $i++) {
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+        for ($i = 0; $i < $this->featureCount; $i++) {
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             $colValues = [];
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             $baseValue = null;
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             foreach ($samples as $index => $row) {
@@ -183,7 +183,7 @@  discard block
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             $countMatrix[$label][$rowIndex]++;
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         }
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         $giniParts = [0, 0];
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-        for ($i=0; $i<=1; $i++) {
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+        for ($i = 0; $i <= 1; $i++) {
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             $part = 0;
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             $sum = array_sum(array_column($countMatrix, $i));
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             if ($sum > 0) {
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         // Detect and convert continuous data column values into
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         // discrete values by using the median as a threshold value
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         $columns = [];
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-        for ($i=0; $i<$this->featureCount; $i++) {
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+        for ($i = 0; $i < $this->featureCount; $i++) {
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             $values = array_column($samples, $i);
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             if ($this->columnTypes[$i] == self::CONTINUOS) {
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                 $median = Mean::median($values);
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