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  9. RpropOptions

torch.optim.RpropOptions

export interface RpropOptions {
  /** Learning rate (default: 1e-2) */
  lr?: number;
  /** Multiplicative increase/decrease factors (default: [0.5, 1.2]) */
  etas?: [number, number];
  /** Minimum/maximum allowed step sizes (default: [1e-6, 50]) */
  step_sizes?: [number, number];
  /** 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)
etas([number, number])optional
– Multiplicative increase/decrease factors (default: [0.5, 1.2])
step_sizes([number, number])optional
– Minimum/maximum allowed step sizes (default: [1e-6, 50])
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 Rprop optimizer.

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