torch.optim.RMSpropOptions
export interface RMSpropOptions {
/** Learning rate (default: 1e-2) */
lr?: number;
/** Smoothing constant (default: 0.99) */
alpha?: number;
/** Term added to the denominator to improve numerical stability (default: 1e-8) */
eps?: number;
/** Weight decay (L2 penalty) (default: 0) */
weight_decay?: number;
/** Momentum factor (default: 0) */
momentum?: number;
/** If true, compute centered RMSprop (default: false) */
centered?: boolean;
/** Whether to use foreach implementation (default: false) */
foreach?: boolean;
/** Maximize the objective with respect to params (default: false) */
maximize?: boolean;
/** Whether to use a differentiable learning rate (default: false) */
differentiable?: boolean;
}lr(number)optional- – Learning rate (default: 1e-2)
alpha(number)optional- – Smoothing constant (default: 0.99)
eps(number)optional- – Term added to the denominator to improve numerical stability (default: 1e-8)
weight_decay(number)optional- – Weight decay (L2 penalty) (default: 0)
momentum(number)optional- – Momentum factor (default: 0)
centered(boolean)optional- – If true, compute centered RMSprop (default: false)
foreach(boolean)optional- – Whether to use foreach implementation (default: false)
maximize(boolean)optional- – Maximize the objective with respect to params (default: false)
differentiable(boolean)optional- – Whether to use a differentiable learning rate (default: false)
Options for RMSprop optimizer.