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ML-Sharp
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Grade
Name
Complexity
Churn
Issues
A
src\ML.Core\Metrics\Categorical\CategoricalAccuracy.cs
3 4 -
A
src\ML.Core\Losses\Regularization.cs
0 2 -
A
src\ML.Core\Losses\RegressionLosses\MeanSquared.cs
4 4 -
A
src\ML.Core\Losses\RegressionLosses\MeanAbsolutePercentage.cs
4 4 -
A
src\ML.Core\Losses\RegressionLosses\MeanAbsolute.cs
4 4 -
A
src\ML.Core\Losses\RegressionLosses\LogCosh.cs
4 6 -
A
src\ML.Core\Losses\Loss.cs
17 14 4
A
src\ML.Core\Losses\CategoricalLosses\CategoricalCrossentropy.cs
5 12 1
A
src\ML.Core\Losses\CategoricalLoss.cs
5 6 1
A
src\ML.Core\Losses\BinaryLosses\BinarySoftmax.cs
6 14 1
A
src\ML.Core\Losses\BinaryLosses\BinaryLeastSquares.cs
6 14 1
A
src\ML.Core\Losses\BinaryLosses\BinaryCrossEntropy.cs
6 13 3
A
src\ML.Core\IRecorder.cs
 2 -
A
src\ML.Core.Transform\Transformer.cs
2 5 -
A
src\ML.Core.Transform\Normals\TrianglePoly.cs
3 4 1
A
src\ML.Core.Transform\Normals\Polynomial.cs
1 5 -
A
src\ML.Core.Transform\Normals\LinearFirstorder.cs
2 4 -
A
src\ML.Core.Transform\Kernels\Sigmoid.cs
1 6 1
A
src\ML.Core.Transform\Kernels\Poly.cs
1 6 -
A
src\ML.Core.Transform\Kernels\Lapras.cs
1 6 -