add csv function so we can use csv file as sample

.gitignore

@@ -1,2 +1,2 @@
 # Test
-test/
+tests/

README.md

@@ -20,3 +20,33 @@ echo $data->result;     //output is c
 ```
 
 more examples are in example.php file
+
+### Using csv file as dataset
+You can use csv file as dataset. Here the tutorial how to use it.
+
+First create the dataset in csv format. Use this format below.
+
+```
+"parameter1", "parameter2", "parameter3", "etc", "label"
+```
+
+See file.csv inside dataset folder for example.
+Save it to dataset folder.
+
+The Code
+
+```php
+require('src/Knn.php');
+
+$csvFileName = 'files.csv';     //name of csv file, must containt .csv {required}
+$predict = [3,4,1];             //predict {required}
+$key = 3;                       //key {optional: default is 3}
+$inputToCsv = true;             //true, so the result will be inputed to csv file as the new sample. {optional: default is false}
+
+$data = new KnnCsv($csvFileName, $predict, $key, $inputToCsv);
+echo $data->result;
+
+```
+
+You can change the dataset folder in `src/KnnCsv.php`
+

dataset/file.csv

@@ -1,3 +1,9 @@
-24,43,"Apple"
-24,22,"Mango"
-21,54,"Apple"
+"weight", "size", "label"
+24,43,"Apple"
+24,22,"Mango"
+21,54,"Apple"
+1,7,"Apple"
+23,14,Mango
+24,134,Mango
+53,14,Mango
+13,52, Apple

example.php

@@ -5,7 +5,7 @@
 $datasample = [[7, 5, 6], [3, 4, 3], [5, 7, 7], [10, 6, 1], [12, 9, 8], [11, 1, 2]]; //Sample Data
 $datalabel = ['a', 'a', 'a', 'b', 'b', 'c']; //Label Data. [7,5,6] labeled by a, [10,6,1] labeled by b, etc
 $key = 3;     //optional. Default is 3
-$predict = [1, 7]; //Input
+$predict = [13, 41]; //Input
 
 $data = new Knn($datasample, $predict, $datalabel, $key);
 echo $data->result;

src/KnnCsv.php

@@ -1,24 +1,34 @@
 <?php
 
+/*KNN from CSV
+This is a class for processing KNN from dataset in csv type.
+
+Author : Khoerul Umam
+Email : [email protected]*/
+
 class KnnCsv
 {
 
     protected $filePath;
     public $sample;
     public $label;
     public $result;
+    public $newData;
+    public $prediction;
 
-    public function __construct($filePath, $predictData, $k = 3)
+    public function __construct($filePath, $predictData, $k = 3, $insertNewToCsv = false)
     {
-        $this->$filePath = $filePath;
-
-        $file = fopen('../dataset/' . $filePath, 'r');
+        $this->filePath = '../dataset/' . $filePath;
+        $this->prediction = $predictData;
+        $file = fopen($this->filePath, 'r');
         while (($line = fgetcsv($file)) !== false) {
 
             $resultCsv[] = $line;
         }
         fclose($file);
 
+        array_shift($resultCsv);
+
         for ($i = 0; $i < count($resultCsv); $i++) {
 
             $label[] = end($resultCsv[$i]);
@@ -30,5 +40,54 @@ public function __construct($filePath, $predictData, $k = 3)
 
         $result = new Knn($this->sample, $predictData, $this->label, $k);
         $this->result = $result->result;
+
+        if ($insertNewToCsv == true) {
+
+            $this->addToCsv($predictData);
+
+        }
+
+    }
+
+    private function addToCsv($dataToInsert)
+    {
+
+        $newData = $dataToInsert;
+        array_push($newData, $this->result);
+
+        $stringToInput = '';
+        $it = new RecursiveIteratorIterator(new RecursiveArrayIterator($newData));
+        foreach ($it as $v) {
+            $stringToInput .= $v . ",";
+        }
+
+        $newString = rtrim($stringToInput, ', ');
+        $dataArrayToInsert[] = $newString;
+
+        $fileCsv = fopen($this->filePath, "a");
+
+        foreach ($dataArrayToInsert as $line) {
+            fputcsv($fileCsv, explode(',', $line));
+        }
+
+        fclose($fileCsv);
+    }
+
+    public function getLabel()
+    {
+
+        return $this->label;
+    }
+
+    public function getSample()
+    {
+
+        return $this->sample;
+    }
+
+    public function getPrediction()
+    {
+
+        return $this->prediction;
     }
 }

tests/csv.php

@@ -8,12 +8,13 @@
 // $test = [[47, 5, 6], [3, 64, 3], [5, 7, 7], [10, 6, 1], [12, 9, 8], [11, 1, 2]]; //Sample Data
 // $label = ['a', 'a', 'a', 'b', 'b', 'c']; //Label Data. [7,5,6] labeled by a, [10,6,1] labeled by b, etc
 // $key = 3;     //optional. Default is 3
-$predict = [1, 7]; //Input
+$predict = [32, 13]; //Input
 
 // $csv = new KnnCsv('file.csv', $predict, 3);
 
 // print_r($csv->sample);
 // print_r($test);
 
 $data = new KnnCsv('file.csv', $predict, 3);
-echo $data->result;
+echo $data->result . "\n";
+print_r($data->result);