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ML-Sharp
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Grade
Name
Complexity
Churn
Issues
A
src\ML.Core\Losses\RegressionLosses\MeanAbsolutePercentage.cs
4 4 -
A
src\ML.Core\Losses\RegressionLosses\MeanSquared.cs
4 4 -
A
src\ML.Core.Test\Utility\TermMartixTest.cs
4 3 -
A
src\ML.Core.Test\Demo\Demo.cs
3 1 -
A
src\ML.Core.Transform\Kernels\Kernel.cs
3 2 -
A
src\ML.Core.Transform\Normals\TrianglePoly.cs
3 4 1
A
src\ML.Core.Data\DataStructs\LinearData.cs
3 1 1
A
src\ML.Core\Metrics\Regression\MeanSquaredLogarithmicError.cs
3 4 -
A
src\ML.Core.Data\DataStructs\OptdigitData.cs
3 4 2
A
src\ML.Core\Optimizers\Optimizer.cs
3 12 4
A
src\ML.Core\Metrics\Categorical\CategoricalAccuracy.cs
3 4 -
A
src\ML.Core\Optimizers\RMSProp.cs
3 10 2
A
src\ML.Core\Optimizers\Nadam.cs
3 9 5
A
src\ML.Core\Optimizers\AdaGrad.cs
3 11 1
A
src\ML.Core\Optimizers\AdaDelta.cs
3 10 3
A
src\ML.Core\Models\Supervised\Perceptron.cs
3 5 -
A
src\ML.Core\Models\NeuralNets\Sequential.cs
3 2 -
B
src\ML.Core\Optimizers\Adam.cs
3 11 5
A
src\ML.Core\Models\Supervised\BinaryLogicClassify.cs
3 4 2
A
src\ML.Core.Data\DataStructs\winequality.cs
3 2 3