RemixAutoML (version 0.5.0)

RL_Initialize: RL_Initialize

RL_Initialize sets up the components necessary for RL

Description

RL_Initialize

RL_Initialize sets up the components necessary for RL

Usage

RL_Initialize(
  ParameterGridSet = NULL,
  Alpha = 1L,
  Beta = 1L,
  SubDivisions = 1000L
)

Arguments

ParameterGridSet

This is a list of tuning grids

Alpha

Prior successes

Beta

Prior trials

SubDivisions

Tolerance for integration

See Also

Other Reinforcement Learning: CatBoostGridTuner(), RL_ML_Update(), RL_Update(), RPM_Binomial_Bandit(), XGBoostGridTuner()

Examples

# NOT RUN {
RL_Start <- RL_Initialize(
  ParameterGridSet = GridClusters,
  Alpha = Alpha,
  Beta = Beta,
  SubDivisions = 1000L)
BanditArmsN <- RL_Start[["BanditArmsN"]]
Successes <- RL_Start[["Successes"]]
Trials <- RL_Start[["Trials"]]
GridIDs <- RL_Start[["GridIDs"]]
BanditProbs <- RL_Start[["BanditProbs"]]
# }