rcognita.optimizers.SciPyOptimizer
- class rcognita.optimizers.SciPyOptimizer(opt_method, opt_options, verbose=False)
Optimizer class using the SciPy optimization library.
- engine
Name of the optimization engine.
- Type
str
- opt_method
Optimization method to use.
- Type
str
- opt_options
Options for the optimization method.
- Type
dict
- verbose
Whether to print optimization progress and timing.
- Type
bool
- __init__(opt_method, opt_options, verbose=False)
Initialize a SciPyOptimizer instance.
- Parameters
opt_method – str, the name of the optimization method to use.
opt_options – dict, options for the optimization method.
verbose – bool, whether to print the optimization time and the objective function value before and after optimization.
Methods
__init__(opt_method, opt_options[, verbose])Initialize a SciPyOptimizer instance.
optimize(*args, **kwargs)verbose(opt_func)A static method decorator that makes the decorated function verbose.
Attributes