PLearn 0.1
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#include <plearn_learners/generic/PLearner.h>
#include <plearn_learners/nearest_neighbors/GenericNearestNeighbors.h>
Go to the source code of this file.
Classes | |
class | PLearn::KNNRegressor |
This class provides a simple multivariate regressor based upon an enclosed K-nearest-neighbors finder (derived from GenericNearestNeighbors; specified with the 'knn' option). More... | |
class | PLearn::DiffTemplate< ObjectType, KNNRegressor > |
class | PLearn::TypeTraits< KNNRegressor > |
Namespaces | |
namespace | PLearn |
< for swap | |
Functions | |
Object * | PLearn::toObjectPtr (const KNNRegressor &o) |
PStream & | PLearn::operator>> (PStream &in, KNNRegressor &o) |
PStream & | PLearn::operator>> (PStream &in, KNNRegressor *&o) |
PStream & | PLearn::operator<< (PStream &out, const KNNRegressor &o) |
PStream & | PLearn::operator>> (PStream &in, PP< KNNRegressor > &o) |
template<class ObjectType > | |
int | PLearn::diff (const string &refer, const string &other, const Option< ObjectType, KNNRegressor > *opt, PLearnDiff *diffs) |
Definition in file KNNRegressor.h.