microbench | A micro-benchmarking library | Machine Learning library
kandi X-RAY | microbench Summary
kandi X-RAY | microbench Summary
microbench uses linear regression to estimate the execution time of code segments. For example, the following table might represent data collected by microbench about a code segment. microbench of course takes many more than 5 samples and the number of iterations grows geometrically rather than linearly, but the idea remains the same. After collecting data like this, microbench uses ordinary least squares (OLS) linear regression to estimate the actual execution time of the code segment. Using OLS with the above data would yield an estimated execution time of 9.6 nanoseconds with a goodness of fit (R²) of 0.992.
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QUESTION
I am using the R programming language. I want to learn how to measure and plot the run time of difference procedures as the size of the data increases.
I found a previous stackoverflow post that answers a similar question: Plot the run time of three functions
It seems that the "microbenchmark" library in R should be able to accomplish this task.
Suppose I simulate the following data:
...ANSWER
Answered 2020-Dec-26 at 17:59My first answer severely misunderstood your question. I hope this can be of some help.
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Install microbench
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.
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