#include <HyperOptimizer.h>
Inheritance diagram for PLearn::HTryAll:


Public Member Functions | |
| HTryAll () | |
| virtual void | optimize (PP< Learner > learner, const VMat &dataset, const HAliases &aliases) |
| Optimize the learner with respect to the given hyperparameters and dataset. | |
| PLEARN_DECLARE_OBJECT (HTryAll) | |
Static Public Member Functions | |
| void | declareOptions (OptionList &ol) |
| redefine this in subclasses: call declareOption(...) for each option, and then call inherited::declareOptions(options) ( see the declareOption function further down) | |
Public Attributes | |
| string | param |
| Array< string > | values |
Private Types | |
| typedef HyperOptimizer | inherited |
|
|
Reimplemented from PLearn::HyperOptimizer. Definition at line 117 of file HyperOptimizer.h. |
|
|
Definition at line 119 of file HyperOptimizer.h. |
|
|
redefine this in subclasses: call declareOption(...) for each option, and then call inherited::declareOptions(options) ( see the declareOption function further down) ex: static void declareOptions(OptionList& ol) { declareOption(ol, "inputsize", &MyObject::inputsize_, OptionBase::buildoption, "the size of the input\n it must be provided"); declareOption(ol, "weights", &MyObject::weights, OptionBase::learntoption, "the learnt model weights"); inherited::declareOptions(ol); } Reimplemented from PLearn::HyperOptimizer. Definition at line 89 of file HyperOptimizer.cc. References PLearn::declareOption(), and PLearn::OptionList. |
|
||||||||||||||||
|
Optimize the learner with respect to the given hyperparameters and dataset.
Implements PLearn::HyperOptimizer. Definition at line 99 of file HyperOptimizer.cc. References PLearn::argmin(), PLearn::HAliases, k, param, PLearn::TVec< string >::size(), values, and PLearn::Vec. |
|
|
|
|
|
Definition at line 127 of file HyperOptimizer.h. Referenced by optimize(). |
|
|
Definition at line 128 of file HyperOptimizer.h. Referenced by optimize(). |
1.3.7