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SG++-Doxygen-Documentation
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BoHyperparameterOptimizer coordinates data input, fitting and validation modules similarly to SparseGridMiner. More...
#include <BoHyperparameterOptimizer.hpp>
Public Member Functions | |
| BoHyperparameterOptimizer (SparseGridMiner *miner, FitterFactory *fitterFactory, DataMiningConfigParser &parser) | |
| Constructor. More... | |
| BoHyperparameterOptimizer (const BoHyperparameterOptimizer &rhs)=delete | |
| Copy constructor deleted - not all members can be copied or cloned . More... | |
| BoHyperparameterOptimizer (BoHyperparameterOptimizer &&rhs)=default | |
| Default Move constructor . More... | |
| BoHyperparameterOptimizer & | operator= (BoHyperparameterOptimizer &&rhs)=default |
| Default Move assign operator. More... | |
| BoHyperparameterOptimizer & | operator= (const BoHyperparameterOptimizer &rhs)=delete |
| Default copy assign operator deleted because not all members can be copied. More... | |
| double | run (bool writeToFile) override |
| Run hyperparameter optimization using Bayesian Optimization and random search to warm up. More... | |
| double | transformScore (double original) |
| Possible score function transformation to accentuate the optimum. More... | |
| ~BoHyperparameterOptimizer () override=default | |
| Default destructor. More... | |
Public Member Functions inherited from sgpp::datadriven::HyperparameterOptimizer | |
| HyperparameterOptimizer (SparseGridMiner *miner, FitterFactory *fitterFactory, DataMiningConfigParser &parser) | |
| Constructor. More... | |
| HyperparameterOptimizer (const HyperparameterOptimizer &rhs)=delete | |
| Copy constructor deleted - not all members can be copied or cloned . More... | |
| HyperparameterOptimizer (HyperparameterOptimizer &&rhs)=default | |
| Default Move constructor . More... | |
| HyperparameterOptimizer & | operator= (HyperparameterOptimizer &&rhs)=default |
| Default Move assign operator. More... | |
| HyperparameterOptimizer & | operator= (const HyperparameterOptimizer &rhs)=delete |
| Default copy assign operator deleted because not all members can be copied. More... | |
| virtual | ~HyperparameterOptimizer ()=default |
| Default destructor. More... | |
Additional Inherited Members | |
Protected Attributes inherited from sgpp::datadriven::HyperparameterOptimizer | |
| HPOConfig | config |
| Configuration for all hpo details. More... | |
| std::unique_ptr< FitterFactory > | fitterFactory |
| FitterFactory to provide fitters for running different hyperparameter configurations. More... | |
| std::unique_ptr< SparseGridMiner > | miner |
| Miner providing all testing facilities. More... | |
BoHyperparameterOptimizer coordinates data input, fitting and validation modules similarly to SparseGridMiner.
It offers access to different hyperparameter optimization procedures.
| sgpp::datadriven::BoHyperparameterOptimizer::BoHyperparameterOptimizer | ( | SparseGridMiner * | miner, |
| FitterFactory * | fitterFactory, | ||
| DataMiningConfigParser & | parser | ||
| ) |
Constructor.
| miner | configured instance of SGMiner object, that will provide the learning process. The HyperparameterOptimizer instance will take ownership of the passed object. |
| fitterFactory | configured instance of factory object that provides fitters with manipulated hyperparameters. The HyperparameterOptimizer instance will take ownership of the passed object. |
| parser | reference to parser object to read configuration info |
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delete |
Copy constructor deleted - not all members can be copied or cloned .
| rhs | the object to copy from |
|
default |
Default Move constructor .
| rhs | the object to move from |
|
overridedefault |
Default destructor.
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default |
Default Move assign operator.
| rhs | the object to move from |
|
delete |
Default copy assign operator deleted because not all members can be copied.
| rhs | the object to copy from |
|
overridevirtual |
Run hyperparameter optimization using Bayesian Optimization and random search to warm up.
Implements sgpp::datadriven::HyperparameterOptimizer.
References sgpp::datadriven::HyperparameterOptimizer::config, sgpp::optimization::Printer::disableStatusPrinting(), sgpp::datadriven::BayesianOptimization::fitScales(), sgpp::datadriven::HyperparameterOptimizer::fitterFactory, sgpp::optimization::Printer::getInstance(), sgpp::datadriven::HPOConfig::getNRandom(), sgpp::datadriven::HPOConfig::getNRuns(), sgpp::datadriven::HPOConfig::getSeed(), python.statsfileInfo::i, sgpp::datadriven::BayesianOptimization::main(), sgpp::datadriven::HyperparameterOptimizer::miner, sgpp::datadriven::BayesianOptimization::setScales(), sgpp::datadriven::BOConfig::setScore(), transformScore(), and sgpp::datadriven::BayesianOptimization::updateGP().
| double sgpp::datadriven::BoHyperparameterOptimizer::transformScore | ( | double | original | ) |
Possible score function transformation to accentuate the optimum.
| original |
Referenced by run().