Man pages for edahelsinki/cyclesampler
Randomization Algorithms for Large Sparse Matrices

addselfloopsaddselfloops
BFSPerforms Breadth-first search for a tree and finds a spanning...
bft2idxFinds the triplet indices that match the links in the...
cyclesamplerCyclesampler object.
cyclesampler-packagecyclesampler: Randomization Algorithms for Large Sparse...
delta1cycleFinds a random term to add to the cycle.
descaledataDescales the values of data from (0,1) back to original...
fexpU01expectation of exponential distribution defined in [0,1]
find1cycleFinds 1 cycle from the spanning tree.
findlambdaCfind values of lambdas in maxent method
findmergeFinds node at which the tree defined by bft merges if...
findrowsAuxiliary function that indexes a vector.
get_node_weightsGet node weights
makegraphMakes a graph of triplets.
makequeueEfficient implementation of a standard FIFO queue using...
maxentsamplerMaxentsampler2 object.
maxentsampler_oldMaxentsampler object.
nonzeroFinds mapping from indices so that they are mapped to...
normalizedataMakes "normalized" version of the data matrix such that the...
samplecyclesSamples n cycles and alters the random state accordingly
samplecycles2CC interface that is functionally equivalent to samplecycles....
samplecyclesCC interface that is functionally equivalent to samplecycles....
sampleU01Samples of exponential distribution parametrized by x
scaledataScales the values of data to (0,1) interval
trtesplitMakes training/test data split
edahelsinki/cyclesampler documentation built on June 9, 2019, 10:51 a.m.