cyclesampler: Randomization Algorithms for Large Sparse Matrices

Makes training/test data split

1	trtesplit(data, nte = round(0.014 * dim(data)[1]), limit = 1)

data

Triplets where columns indicate row indices, column indices and values, respectively

Training set and test set.

edahelsinki/cyclesampler documentation built on June 9, 2019, 10:51 a.m.

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