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@j1c j1c commented Oct 3, 2019

These are two methods for graph valued data.

  1. Graph-Edge-MORF randomly takes one row of the adjacency matrices, then randomly samples some number of elements of that row based on patch_height_min and patch_height_max. The sum of the selected elements is the new feature for that graph.

  2. Graph-Node-MORF randomly samples n \in [patch_height_min, patch_height_max] integers between [1, image_height]. You take the rows and cols based on the sampled integers, and sum the values in that small square. This is the new feature for that graph.

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netlify bot commented Oct 3, 2019

Deploy preview for rerf ready!

Built with commit b5839d1

https://deploy-preview-337--rerf.netlify.com

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j1c commented Oct 3, 2019

Not quite sure how to deal with different sized tabs cause tabs in C++ files vary in size. Can be 8 spaces or 4 or 2....

@j1c j1c requested a review from MrAE October 3, 2019 15:12
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