OptimizerCoordinateDescent.Rd
This class defines a new object for the greedy optimizer. The optimizer just calculates for each base-learner the sum of squared errors and returns the base-learner with the smallest SSE.
S4
object.
OptimizerCoordinateDescent$new() OptimizerCoordinateDescent$new(ncores)
ncores
[integer(1)
]Number of cores used to fit the algorithm. Note that number of used cores should be smaller or equal the number of base learner.
# Define optimizer: optimizer = OptimizerCoordinateDescent$new()