Optimizer¶
- class viabel.Optimizer[source]¶
An abstract class for optimization
Methods
optimize(n_iters, objective, init_param, ...)- Parameters:
- abstract optimize(n_iters, objective, init_param, **kwargs)[source]¶
- Parameters:
- n_itersint
Number of iterations of the optimization
- objectivefunction
Function for constructing the objective and gradient function
- init_paramnumpy.ndarray, shape(var_param_dim,)
Initial values of the variational parameters
- **kwargs
Keyword arguments to pass (example: smoothed_prop)
- Returns:
- resultsdict
Must contain at least opt_param, the estimate for the optimal variational parameter.