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README.md

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@@ -36,7 +36,7 @@ ShortestPathGraphKernel{ConstVertexKernel}(0.0, ConstVertexKernel(1.0), nothing)
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# train a support vector machine with that kernel
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julia> model = svmtrain(X_train, y_train, kernel);
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# predict classed on the test data
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# predict classe on the test data
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julia> y_test_pred = svmpredict(model, X_test);
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# compare with the actual classes and calculate the accuracy
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### Julia
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- [GeometricFlux](Geometric Deep Learning for Flux ), Geometric Deep Learning for Flux
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- [GeometricFlux](https://github.com/FluxML/GeometricFlux.jl), Geometric Deep Learning for Flux
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### Python
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