OptimizerAGBM: Nesterovs momentum
In schalkdaniel/compboost: Efficient Component-Wise Boosting Implementation
OptimizerAGBM R Documentation
Nesterovs momentum
Description
This class defines a new object to conduct Nesterovs momentum in function space.
Arguments
ncores
(integer(1))
Number of cores over which the base learner fitting is distributed.
momentum
(numeric(1))
Momentum term used to accelerate the fitting process. If chosen large, the algorithm trains
faster but also tends to overfit faster.
Format
S4 object.
Usage
OptimizerAGBM$new(momentum)
OptimizerAGBM$new(momentum, ncores)
Fields
This class doesn't contain public fields.
Methods
-
$getOptimizerType(): () -> character(1)
-
$getStepSize(): () -> numeric()
-
$getMomentumParameter(): () -> numeric(1)
-
$getSelectedMomentumBaselearner(): () -> character()
-
$getParameterMatrix(): () -> list(matrix()
-
$getErrorCorrectedPseudoResiduals(): () -> matrix()
Examples
optimizer = OptimizerAGBM$new(0.1)
schalkdaniel/compboost documentation built on April 15, 2023, 9:03 p.m.
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| OptimizerAGBM | R Documentation |
Nesterovs momentum
Description
This class defines a new object to conduct Nesterovs momentum in function space.
Arguments
ncores |
( |
momentum |
( |
Format
S4 object.
Usage
OptimizerAGBM$new(momentum) OptimizerAGBM$new(momentum, ncores)
Fields
This class doesn't contain public fields.
Methods
-
$getOptimizerType():() -> character(1) -
$getStepSize():() -> numeric() -
$getMomentumParameter():() -> numeric(1) -
$getSelectedMomentumBaselearner():() -> character() -
$getParameterMatrix():() -> list(matrix() -
$getErrorCorrectedPseudoResiduals():() -> matrix()
Examples
optimizer = OptimizerAGBM$new(0.1)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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