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New function: similarity_graph. If you are more interested in the high-dimensional graph/fuzzy simplicial set representation of your input data, and don't care about the low dimensional approximation, the similarity_graph function offers a similar API to umap, but neither the initialization nor optimization of low-dimensional coordinates will be performed. The return value is the same as that which would be returned in the results list as the fgraph member if you had provided ret_extra = c("fgraph"). Compared to getting the same result via running umap, this function is a bit more convenient to use, makes your intention clearer if you would be discarding the embedding, and saves a small amount of time. A t-SNE/LargeVis similarity graph can be returned by setting method = "largevis".
Bug fixes and minor improvements
If a model was generated without using pre-generated nearest neighbors, you couldn't use umap_transform with pre-generated nearest neighbors (also the error message was completely useless).Thank you to AustinHartman for reporting this (#97).