run_pred: Predictions of Foreground Jobs.
In carlonlv/DataCenterSim: Simulations for Data Centers
Description
Usage
Arguments
Value
Description
Sequantially training and testing by predicting the runtime of a job.
Usage
1
run_pred(epoch_setting, x, xreg)
Arguments
epoch_setting
A dataframe representing a specific parameter setting.
x
A numeric vector of length m representing the target dataset for predictions.
xreg
A matrix of size n by m representing the dataset that target dataset depends on for predicting.
Value
A list of S4 pred result object.
carlonlv/DataCenterSim documentation built on Jan. 9, 2022, 3:26 p.m.
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Description Usage Arguments Value
Description
Sequantially training and testing by predicting the runtime of a job.
Usage
1 | run_pred(epoch_setting, x, xreg)
|
Arguments
epoch_setting |
A dataframe representing a specific parameter setting. |
x |
A numeric vector of length m representing the target dataset for predictions. |
xreg |
A matrix of size n by m representing the dataset that target dataset depends on for predicting. |
Value
A list of S4 pred result object.
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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