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SVM classification using custom kernel + make plot.ly plots
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SVM example mapping 2-d non-linearly separable points to 3-d using a custom kernel. svm.py and svm.ipynb: generate points, fit model (using sklearn package) make_plotly*d.ipynb: generate plotly plots (2d makes use of plotly's matplotlib converter, but 3d--not supported by the converter--is written from scratch)