xin-pu/ML-Sharp

master

ML-Sharp

Grade	Name	Complexity	Churn	Issues
A	src\ML.Utility\TermOp.cs	7	2	1
A	src\ML.Utility\NNOp.cs	7	2	1
A	src\ML.Core\Metrics\Metric.cs	7	9	1
A	src\ML.Core\Models\Cluster\Spectral.cs	6	7	2
A	src\ML.Core\Losses\BinaryLosses\BinaryLeastSquares.cs	6	14	1
A	src\ML.Core\Losses\BinaryLosses\BinarySoftmax.cs	6	14	1
A	src\ML.Core.Test\OptimizeTest.cs	6	5	1
A	src\ML.Core\Losses\BinaryLosses\BinaryCrossEntropy.cs	6	13	3
A	src\ML.Core.Test\TrainerTest.cs	6	23	3
A	src\ML.Core\Losses\CategoricalLoss.cs	5	6	1
A	src\ML.Core\Optimizers\Nesterov.cs	5	9	6
A	src\ML.Core\Optimizers\Momentum.cs	5	10	1
A	src\ML.Core.Test\OptdigitTest\OptdigitTest.cs	5	6	-
A	src\ML.Core\Losses\CategoricalLosses\CategoricalCrossentropy.cs	5	12	1
A	src\ML.Core\Losses\RegressionLosses\MeanAbsolute.cs	4	4	-
A	src\ML.Core\Losses\RegressionLosses\MeanSquared.cs	4	4	-
A	src\ML.Core.Data\DataView.cs	4	6	-
A	src\ML.Core\Losses\RegressionLosses\MeanAbsolutePercentage.cs	4	4	-
A	src\ML.Reinforce\Models\Environment.cs	4	1	1
A	src\ML.Core.Test\NNTest\LayerTest.cs	4	2	-