mlr_callback_set.lr_scheduler_reduce_on_plateau: Reduce On Plateau Learning Rate Scheduler
In mlr3torch: Deep Learning with 'mlr3'
mlr_callback_set.lr_scheduler_reduce_on_plateau R Documentation
Reduce On Plateau Learning Rate Scheduler
Description
Reduces the learning rate when the first validation metric stops improving for patience epochs.
Wraps torch::lr_reduce_on_plateau()
Super classes
mlr3torch::CallbackSet -> mlr3torch::CallbackSetLRScheduler -> CallbackSetLRSchedulerReduceOnPlateau
Methods
Public methods
Inherited methods
Method new()
Creates a new instance of this R6 class.
Usage
CallbackSetLRSchedulerReduceOnPlateau$new(...)
Arguments
...(any)
The scheduler-specific initialization arguments.
Method clone()
The objects of this class are cloneable with this method.
Usage
CallbackSetLRSchedulerReduceOnPlateau$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
mlr3torch documentation built on Aug. 26, 2025, 5:09 p.m.
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| mlr_callback_set.lr_scheduler_reduce_on_plateau | R Documentation |
Reduce On Plateau Learning Rate Scheduler
Description
Reduces the learning rate when the first validation metric stops improving for patience epochs.
Wraps torch::lr_reduce_on_plateau()
Super classes
mlr3torch::CallbackSet -> mlr3torch::CallbackSetLRScheduler -> CallbackSetLRSchedulerReduceOnPlateau
Methods
Public methods
Inherited methods
Method new()
Creates a new instance of this R6 class.
Usage
CallbackSetLRSchedulerReduceOnPlateau$new(...)
Arguments
...(any)
The scheduler-specific initialization arguments.
Method clone()
The objects of this class are cloneable with this method.
Usage
CallbackSetLRSchedulerReduceOnPlateau$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
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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