CompEstPred: Complexity Estimation and Prediction
In GuessCompx: Empirically Estimates Algorithm Complexity
Description
Usage
Arguments
Value
Description
_Prediction function for the computation time of a whole dataset
Usage
1
CompEstPred(model.list, benchmark, N, use = "time")
Arguments
model.list
A list containing the fitted complexity functions, produced by CompEst()
benchmark
A vector of LOO errors of complexity functions, produced by CompEst()
N
number of rows of the whole dataset, produced by CompEst()
use
a string indicatif if the function deals "time" or "memory" data
Value
a string of the predicted time for the whole dataset
GuessCompx documentation built on June 3, 2019, 5:04 p.m.
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Description Usage Arguments Value
Description
_Prediction function for the computation time of a whole dataset
Usage
1 | CompEstPred(model.list, benchmark, N, use = "time")
|
Arguments
model.list |
A list containing the fitted complexity functions, produced by CompEst() |
benchmark |
A vector of LOO errors of complexity functions, produced by CompEst() |
N |
number of rows of the whole dataset, produced by CompEst() |
use |
a string indicatif if the function deals "time" or "memory" data |
Value
a string of the predicted time for the whole dataset
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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