ribs.emitters.opt.GradientAscentOpt¶
- class ribs.emitters.opt.GradientAscentOpt(theta0, lr)[source]¶
Vanilla gradient ascent.
- Parameters
theta0 (array-like) – Initial solution. 1D array.
lr (float) – Learning rate for the update.
Methods
reset(theta0)Resets the solution point to a new value.
step(gradient)Ascends the solution based on the given gradient.
Attributes
The current solution point.
- reset(theta0)[source]¶
Resets the solution point to a new value.
- Parameters
theta0 (array-like) – The new solution point. 1D array.
- step(gradient)[source]¶
Ascends the solution based on the given gradient.
- Parameters
gradient (array-like) – The (estimated) gradient of the current solution point. 1D array.
- property theta¶
The current solution point.