Added SparseCategoricalCrossEntropy Loss Function #36
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| @staticmethod | ||
| def loss(X, Y, W): | ||
| M=X.shape[0] | ||
| H=sigmoid(np.dot(X,W).T)*(len(Y)-1) |
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use softmax and use input one hot encoder and also use assert to check if the given y is one hot encoder.
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Added Sparse Categorical Cross Entropy Loss Function
Fixes #9
This pull request adds
SparseCategoricalCrossEntropyLoss function in MLlib/loss_func.py