asymptoticMemoryComplexityClass.Rd
Function to classify the memory complexity of the expression passed onto asymptoticMemoryUsage (which outputs a data frame to be used here)
asymptoticMemoryComplexityClass(model.df)
model.df | A data frame composed of columns 'Memory usage' and 'Data sizes', which can be obtained by asymptoticMemoryUsage() |
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A string specifying the resultant complexity class. (Eg: 'Linear', 'Log-linear', 'Quadratic')
For more information regarding its implementation or functionality/usage, please check https://anirban166.github.io//Complexity-classifiers/
# Memory profiling must be available in the running system: if(capabilities("profmem")) { # Allocating a square matrix of N*N dimensions against a set of increasing input data sizes: input.sizes = 10^seq(1, 3, by = 0.1) memory.usage.data <- asymptoticMemoryUsage(matrix(data = N:N, nrow = N, ncol = N), input.sizes) # Computing its memory complexity class based on the benchmarked data obtained above: asymptoticMemoryComplexityClass(memory.usage.data) # For allocating a square matrix, the quadratic space/memory complexity class is expected. }#> [1] "quadratic"