DecisionStump::train() - Code Metrics - Inspection of "Linear classifiers: Perceptron, Adaline, DecisionS..." - php-ai/php-ml - Measure and Improve Code Quality continuously with Scrutinizer

Completed

Push — master ( f0a798...cf222b )

by Arkadiusz

created 2017-02-16 22:23 UTC

DecisionStump::train() A

↳ Parent: DecisionStump

Complexity

Conditions	4
Paths	4

Size

Total Lines	13
Code Lines	6

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
dl	0
loc	13
rs	9.2
c	0
b	0
f	0
cc	4
eloc	6
nc	4
nop	2

<?php

declare(strict_types=1);

namespace Phpml\Classification\Linear;

use Phpml\Helper\Predictable;
use Phpml\Helper\Trainable;
use Phpml\Classification\Classifier;
use Phpml\Classification\DecisionTree;

class DecisionStump extends DecisionTree
{
    use Trainable, Predictable;

    /**
     * @var int
     */
    protected $columnIndex;


    /**
     * A DecisionStump classifier is a one-level deep DecisionTree. It is generally
     * used with ensemble algorithms as in the weak classifier role. <br>
     *
     * If columnIndex is given, then the stump tries to produce a decision node
     * on this column, otherwise in cases given the value of -1, the stump itself
     * decides which column to take for the decision (Default DecisionTree behaviour)
     *
     * @param int $columnIndex
     */
    public function __construct(int $columnIndex = -1)
    {
        $this->columnIndex = $columnIndex;

        parent::__construct(1);
    }

    /**
     * @param array $samples
     * @param array $targets
     */
    public function train(array $samples, array $targets)
    {
        // Check if a column index was given
        if ($this->columnIndex >= 0 && $this->columnIndex > count($samples[0]) - 1) {
            $this->columnIndex = -1;
        }

        if ($this->columnIndex >= 0) {
            $this->setSelectedFeatures([$this->columnIndex]);
        }

        parent::train($samples, $targets);
    }
}


1			<?php
2
3			declare(strict_types=1);
4
5			namespace Phpml\Classification\Linear;
6
7			use Phpml\Helper\Predictable;
8			use Phpml\Helper\Trainable;
9			use Phpml\Classification\Classifier;
10			use Phpml\Classification\DecisionTree;
11
12			class DecisionStump extends DecisionTree
13			{
14			use Trainable, Predictable;
15
16			/**
17			* @var int
18			*/
19			protected $columnIndex;
20
21
22			/**
23			* A DecisionStump classifier is a one-level deep DecisionTree. It is generally
24			* used with ensemble algorithms as in the weak classifier role. <br>
25			*
26			* If columnIndex is given, then the stump tries to produce a decision node
27			* on this column, otherwise in cases given the value of -1, the stump itself
28			* decides which column to take for the decision (Default DecisionTree behaviour)
29			*
30			* @param int $columnIndex
31			*/
32			public function __construct(int $columnIndex = -1)
33			{
34			$this->columnIndex = $columnIndex;
35
36			parent::__construct(1);
37			}
38
39			/**
40			* @param array $samples
41			* @param array $targets
42			*/
43			public function train(array $samples, array $targets)
44			{
45			// Check if a column index was given
46			if ($this->columnIndex >= 0 && $this->columnIndex > count($samples[0]) - 1) {
47			$this->columnIndex = -1;
48			}
49
50			if ($this->columnIndex >= 0) {
51			$this->setSelectedFeatures([$this->columnIndex]);
52			}
53
54			parent::train($samples, $targets);
55			}
56			}
57

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DecisionStump::train() A

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