|
ocssw
V2022
|
Optimizer
Public Member Functions | |
| def | __init__ (self, function, opt_vars, has_default) |
| def | __call__ (self, *args, **kwargs) |
| def | fit (self, X, Y, wavelengths) |
| def | predict (self, *args, **kwargs) |
Public Attributes | |
| function | |
| trained_function | |
| opt_vars | |
| has_default | |
Detailed Description
Allow benchmark function parameters to be optimized via a set of training data
Constructor & Destructor Documentation
◆ __init__()
Member Function Documentation
◆ __call__()
◆ fit()
◆ predict()
Member Data Documentation
◆ function
◆ has_default
◆ opt_vars
◆ trained_function
The documentation for this class was generated from the following file:
- /gfs-oceanweb/web/ocssw/ocssw_src/src/aquaverse/MDN/benchmarks/utils.py
