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PLearn 0.1
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#include <plearn/base/Object.h>#include <plearn/math/TMat_impl.h>#include <plearn_learners/generic/GradientCorrector.h>

Go to the source code of this file.
Classes | |
| class | PLearn::NatGradEstimator |
| Class used for converting a sequence of n-dimensional gradients g_t into covariance-corrected update directions v_t, approximating v_t = inv(C_t) g_t, with C_t = gamma C_{t-1} + g_t g_t'. More... | |
| class | PLearn::DiffTemplate< ObjectType, NatGradEstimator > |
| class | PLearn::TypeTraits< NatGradEstimator > |
Namespaces | |
| namespace | PLearn |
< for swap | |
Functions | |
| Object * | PLearn::toObjectPtr (const NatGradEstimator &o) |
| PStream & | PLearn::operator>> (PStream &in, NatGradEstimator &o) |
| PStream & | PLearn::operator>> (PStream &in, NatGradEstimator *&o) |
| PStream & | PLearn::operator<< (PStream &out, const NatGradEstimator &o) |
| PStream & | PLearn::operator>> (PStream &in, PP< NatGradEstimator > &o) |
| template<class ObjectType > | |
| int | PLearn::diff (const string &refer, const string &other, const Option< ObjectType, NatGradEstimator > *opt, PLearnDiff *diffs) |
Definition in file NatGradEstimator.h.
1.7.4