tpcp.OptimizableAlgorithm#
- class tpcp.OptimizableAlgorithm[source]#
Base class for algorithms with distinct parameter optimization.
Methods
clone()Create a new instance of the class with all parameters copied over.
get_params([deep])Get parameters for this algorithm.
self_optimize(*args, **kwargs)Optimize the input parameter of the algorithm using any logic.
set_params(**params)Set the parameters of this Algorithm.
- __init__(*args, **kwargs)#
- clone() typing_extensions.Self[source]#
Create a new instance of the class with all parameters copied over.
This will create a new instance of the class itself and all nested objects
- get_params(deep: bool = True) Dict[str, Any][source]#
Get parameters for this algorithm.
- Parameters
- deep
Only relevant if object contains nested algorithm objects. If this is the case and deep is True, the params of these nested objects are included in the output using a prefix like
nested_object_name__(Note the two “_” at the end)
- Returns
- params
Parameter names mapped to their values.
- self_optimize(*args: Any, **kwargs: Any) typing_extensions.Self[source]#
Optimize the input parameter of the algorithm using any logic.
This method can be used to adapt the input parameters (values provided in the init) based on any data-driven heuristic.
Note
The optimizations must only modify the input parameters that are marked as
optiparas/optimizable_parameters.- Returns
- self
The class instance with optimized input parameters.
