#include <HyperOptimizer.h>
Inheritance diagram for PLearn::HTryCombinations:
Public Member Functions | |
HTryCombinations () | |
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 (HTryCombinations) | |
virtual void | build () |
Should call simply inherited::build(), then this class's build_(). | |
void | _build () |
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) | |
Protected Member Functions | |
real | recursive_optimize (PP< Learner > learner, const VMat &dataset, const Array< string > &aliases, int i) |
Protected Attributes | |
Array< Array< string > > | values |
Array< string > | params |
Private Types | |
typedef HyperOptimizer | inherited |
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Reimplemented from PLearn::HyperOptimizer. Definition at line 164 of file HyperOptimizer.h. |
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Definition at line 166 of file HyperOptimizer.h. |
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Definition at line 182 of file HyperOptimizer.cc. References params, PLERROR, PLearn::TVec< string >::size(), PLearn::TVec< Array< string > >::size(), and values. Referenced by build(). |
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Should call simply inherited::build(), then this class's build_(). This method should be callable again at later times, after modifying some option fields to change the "architecture" of the object. Reimplemented from PLearn::Object. Definition at line 175 of file HyperOptimizer.cc. References _build(). |
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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 139 of file HyperOptimizer.cc. References PLearn::declareOption(), and PLearn::OptionList. |
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Optimize the learner with respect to the given hyperparameters and dataset.
Implements PLearn::HyperOptimizer. Definition at line 149 of file HyperOptimizer.cc. References PLearn::HAliases, params, recursive_optimize(), and PLearn::TVec< string >::size(). |
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Definition at line 158 of file HyperOptimizer.cc. References PLearn::argmin(), k, params, recursive_optimize(), PLearn::TVec< string >::size(), PLearn::TVec< Array< string > >::size(), values, and PLearn::Vec. Referenced by optimize(), and recursive_optimize(). |
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Definition at line 181 of file HyperOptimizer.h. Referenced by _build(), optimize(), and recursive_optimize(). |
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Definition at line 180 of file HyperOptimizer.h. Referenced by _build(), and recursive_optimize(). |