pred-class: An S4 Class to Represent A Prediction.
In carlonlv/DataCenterSim: Simulations for Data Centers

An S4 Class to Represent A Prediction.

`max_cluter`	A numeric value representing the maximum number of clusters to be selected by information criterion.
`train_args`	A list representing additional call passed into the training function.

name: A character that represents the name of the simulation.
bins: A numeric vector that represents how response variable is discretized into bins. Default value is c(0,1,2,6,10,14,18,22,26,30,50,80,205).
train_policy: A character that represents the type of training policy that can either be "offline" or "fixed". Default value is "offline".
train_size: A numeric number that specify the training size used for simulations. Default values is 5000.
update_freq: A numeric number that specify the length of testing after each training step, also the amount of step to update after testing step is complete. Default values is 5000.