svt_predicting_sim: Simulation of Scheduling Jobs Based On Predictions On A...

In carlonlv/DataCenterSim: Simulations for Data Centers

Description

Sequantially training and testing by scheduling jobs based on predictions on a single trace.

Usage

svt_predicting_sim(
  ts_num,
  object,
  x,
  xreg = NULL,
  start_point = 1,
  wait_time = 0,
  write_type,
  plot_type,
  ...
)

Arguments

ts_num	The corresponding trace/column in dataset.
x	A numeric vector of length n representing the target dataset for scheduling and evaluations.
xreg	A numeric vector of length n representing the external regressor.
start_point	A numeric number that represents the starting point of the simulation. Default value is 1.
wait_time	A numeric number that represents the time between testing and next training. Default value is 0.
write_type	A character that represents how to write the result of simulation, can be one of "charwise", "tracewise", "paramwise" or "none".
plot_type	A character that can be one of "charwise", "tracewise", "paramwise" or "none".
...	Characters that represent the name of parent directories that will be passed to write_location_check.

Value

A list containing the resulting prediction informations.

carlonlv/DataCenterSim documentation built on Jan. 9, 2022, 3:26 p.m.