Code Quality Hot Spots - zeopix/MachineLearning - Measure and Improve Code Quality continuously with Scrutinizer

A	Service\LinearRegressionService
A	MachineLearning\Domain\Model\Training
A	Normalization\AbstractNormalization
A	MachineLearning\Domain\Hypothesis\Linear
A	MachineLearning\Domain\Model\Dataset
A	MachineLearning\Domain\Model\Result
A	Domain\Model\Value\ScalarValue
A	Application\Algorithm\GradientDescendent
A	Normalization\MeanScaleNormalization
A	Domain\Model\Value\VectorValue

B	MeanScaleNormalization::prepareNormalizationData()
B	Algorithm\GradientDescendent::train()
B	MeanScaleNormalization::calculateCoefficient()
A	Algorithm\GradientDescendent::doStep()
A	LinearRegressionService::train()
A	GradientDescendent::calculateStepCost()
A	Domain\Model\Training::__construct()
A	Domain\Model\Training::predict()
A	AbstractNormalization::normalizeDataset()
A	Domain\Hypothesis\Linear::calculate()
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	CRAP Score	Lines
MeanScaleNormalization::prepareNormalizationData()	7	16
GradientDescendent::train()	4	28
GradientDescendent::doStep()	4	21
MeanScaleNormalization::calculateCoefficient()	3	32
Linear::derivative()	2	10
Linear::calculate()	2	11
GradientDescendent::calculateStepCost()	2	21
AbstractNormalization::normalizeDataset()	2	14
Dataset::key()	2	4
ScalarValue::scalar()	2	4
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zeopix / MachineLearning