PLearn 0.1
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Go to the source code of this file.
Classes | |
class | PLearn::GaussianDBNRegression |
Does the same thing as Hinton's deep belief nets. More... | |
class | PLearn::DiffTemplate< ObjectType, GaussianDBNRegression > |
class | PLearn::TypeTraits< GaussianDBNRegression > |
Namespaces | |
namespace | PLearn |
< for swap | |
Functions | |
Object * | PLearn::toObjectPtr (const GaussianDBNRegression &o) |
PStream & | PLearn::operator>> (PStream &in, GaussianDBNRegression &o) |
PStream & | PLearn::operator>> (PStream &in, GaussianDBNRegression *&o) |
PStream & | PLearn::operator<< (PStream &out, const GaussianDBNRegression &o) |
PStream & | PLearn::operator>> (PStream &in, PP< GaussianDBNRegression > &o) |
template<class ObjectType > | |
int | PLearn::diff (const string &refer, const string &other, const Option< ObjectType, GaussianDBNRegression > *opt, PLearnDiff *diffs) |
Definition in file GaussianDBNRegression.h.