Add PHP variation of the RandomForestClassifier estimator

readme.md

@@ -69,7 +69,7 @@ Transpile trained [scikit-learn](https:/scikit-learn/scikit-learn) e
   <td align="center"><a href="examples/classifier/RandomForestClassifier/java/basics.ipynb">✓</a></td>
   <td align="center"><a href="examples/classifier/RandomForestClassifier/js/basics.ipynb">✓</a></td>
   <td align="center"></td>
-  <td align="center"></td>
+  <td align="center">✓</td>
   <td align="center"></td>
   </tr>
   <tr>

sklearn_porter/classifier/RandomForestClassifier/__init__.py

@@ -41,7 +41,15 @@ class RandomForestClassifier(Classifier):
  'arr': 'classes[{0}] = {1}',
  'indent': ' ',
  'join': '; ',
- }
+ },
+ 'php': {
+ 'if': 'if ($atts[{0}] {1} {2}) {{',
+ 'else': '} else {',
+ 'endif': '}',
+ 'arr': '$classes[{0}] = {1}',
+ 'indent': ' ',
+ 'join': '; ',
+ },
  }
  # @formatter:on
 
@@ -232,7 +240,7 @@ def create_method(self):
  fns = '\n'.join(fns)
 
  # Merge generated content:
- n_indents = 1 if self.target_language in ['java', 'js'] else 0
+ n_indents = 1 if self.target_language in ['java', 'js', 'php'] else 0
  temp_method = self.temp('method')
  out = temp_method.format(method_name=self.method_name,
  method_calls=fn_names, methods=fns,

sklearn_porter/classifier/RandomForestClassifier/templates/php/class.txt

@@ -0,0 +1,14 @@
+<?php
+
+class {class_name} {{
+
+ {method}
+
+}}
+
+if ($argc > 1) {{
+ array_shift($argv);
+ $prediction = {class_name}::{method_name}($argv);
+ fwrite(STDOUT, $prediction);
+ exit(0);
+}}

sklearn_porter/classifier/RandomForestClassifier/templates/php/method.txt

@@ -0,0 +1,15 @@
+{methods}
+public static function {method_name}($atts) {{
+ $n_classes = {n_classes};
+ $classes = array_fill(0, $n_classes, 0);
+ {method_calls}
+ $class_idx = 0;
+ $class_val = $classes[0];
+ for ($i = 0; $i < $n_classes; $i++) {{
+ if ($classes[$i] > $class_val) {{
+ $class_idx = $i;
+ $class_val = $classes[$i];
+ }}
+ }}
+ return $class_idx;
+}}

sklearn_porter/classifier/RandomForestClassifier/templates/php/method_calls.txt

@@ -0,0 +1 @@
+$classes[{class_name}::{method_name}($atts)]++;

sklearn_porter/classifier/RandomForestClassifier/templates/php/single_method.txt

@@ -0,0 +1,14 @@
+public static function {method_name}_{method_id}($atts) {{
+ $n_classes = {n_classes};
+ $classes = array_fill(0, $n_classes, 0);
+ {tree_branches}
+ $class_idx = 0;
+ $class_val = $classes[0];
+ for ($i = 0; $i < $n_classes; $i++) {{
+ if ($classes[$i] > $class_val) {{
+ $class_idx = $i;
+ $class_val = $classes[$i];
+ }}
+ }}
+ return $class_idx;
+}}

tests/classifier/RandomForestClassifier/RandomForestClassifierPHPTest.py

@@ -0,0 +1,27 @@
+# -*- coding: utf-8 -*-
+
+import unittest
+from unittest import TestCase
+
+from sklearn.ensemble import RandomForestClassifier
+
+from ..Classifier import Classifier
+from ...language.PHP import PHP
+
+
+class RandomForestClassifierPHPTest(PHP, Classifier, TestCase):
+
+ def setUp(self):
+ super(RandomForestClassifierPHPTest, self).setUp()
+ self.mdl = RandomForestClassifier(n_estimators=100, random_state=0)
+
+ def tearDown(self):
+ super(RandomForestClassifierPHPTest, self).tearDown()
+
+ @unittest.skip('The generated code would be too large.')
+ def test_existing_features_w_digits_data(self):
+ pass
+
+ @unittest.skip('The generated code would be too large.')
+ def test_random_features_w_digits_data(self):
+ pass