check_score2: Check Score 2 Based on Prediction
In carlonlv/DataCenterSim: Simulations for Data Centers
Description
Usage
Arguments
Value
Description
Check score 2 of the prediction based on actual observation and the granularity of simulation.
Usage
1
check_score2(pi_up, actual_obs, granularity, how = "max_size")
Arguments
pi_up
A numeric value representing the prediction upper bound.
actual_obs
A numeric value representing the actual observation corresponding to the predictions.
granularity
A numeric value represneting granularity of response.
how
A character representing how the score is calculated. "max_size" by default schedules one job that takes maximum place. "\d_jobs" schedules "\d" jobs with equal sizes. "\d_cores" schedules jobs each with fixed \d number of cores, only works for granularity not being 0.
Value
A numeric value between 0 and 1 or NA.
carlonlv/DataCenterSim documentation built on Jan. 9, 2022, 3:26 p.m.
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Description Usage Arguments Value
Description
Check score 2 of the prediction based on actual observation and the granularity of simulation.
Usage
1 | check_score2(pi_up, actual_obs, granularity, how = "max_size")
|
Arguments
pi_up |
A numeric value representing the prediction upper bound. |
actual_obs |
A numeric value representing the actual observation corresponding to the predictions. |
granularity |
A numeric value represneting granularity of response. |
how |
A character representing how the score is calculated. |
Value
A numeric value between 0 and 1 or NA.
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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