predict_model: Schedule Jobs Using Predictions On Given Test Set

In carlonlv/DataCenterSim: Simulations for Data Centers

Description

Sequantially schedule jobs using predictions on provided test set.

Usage

predict_model(
  object,
  trained_result,
  test_x,
  test_xreg,
  predict_info,
  switch_status
)

Arguments

object	A S4 sim object.
trained_result	A trained object depending on the model used for training.
test_x	A numeric vector representing the test set.
test_xreg	A numeric vector representing the dataset that target dataset depends on for scheduling and evaluations.
predict_info	A dataframe containing all the past predicted information.
switch_status	A list containing all the information about current switches and identifiers.

Value

A dataframe containing the past predicted information and the current predicted information.

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