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PLearn 0.1
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Go to the source code of this file.
Classes | |
| class | PLearn::OnlineGramNaturalGradientOptimizer |
| Implements an online natural gradient, based on keeping an estimate of the gradients' covariance C through its main eigen vectors and values which are updated through those of the gram matrix. More... | |
| class | PLearn::DiffTemplate< ObjectType, OnlineGramNaturalGradientOptimizer > |
| class | PLearn::TypeTraits< OnlineGramNaturalGradientOptimizer > |
Namespaces | |
| namespace | PLearn |
< for swap | |
Functions | |
| Object * | PLearn::toObjectPtr (const OnlineGramNaturalGradientOptimizer &o) |
| PStream & | PLearn::operator>> (PStream &in, OnlineGramNaturalGradientOptimizer &o) |
| PStream & | PLearn::operator>> (PStream &in, OnlineGramNaturalGradientOptimizer *&o) |
| PStream & | PLearn::operator<< (PStream &out, const OnlineGramNaturalGradientOptimizer &o) |
| PStream & | PLearn::operator>> (PStream &in, PP< OnlineGramNaturalGradientOptimizer > &o) |
| template<class ObjectType > | |
| int | PLearn::diff (const string &refer, const string &other, const Option< ObjectType, OnlineGramNaturalGradientOptimizer > *opt, PLearnDiff *diffs) |
Definition in file OnlineGramNaturalGradientOptimizer.h.
1.7.4