PLearn 0.1
Classes | Namespaces | Functions
SparseIncrementalAffineTransformVariable.h File Reference
#include "BinaryVariable.h"
#include <plearn/math/StatsCollector.h>
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Classes

class  PLearn::SparseIncrementalAffineTransformVariable
 Affine transformation of a vector variable, with weights that are sparse and incrementally added Should work for both column and row vectors: result vector will be of same kind (row or col) First row of transformation matrix contains bias b, following rows contain linear-transformation T Will compute b + x.T. More...
class  PLearn::DiffTemplate< ObjectType, SparseIncrementalAffineTransformVariable >
class  PLearn::TypeTraits< SparseIncrementalAffineTransformVariable >

Namespaces

namespace  PLearn
 

< for swap


Functions

Object * PLearn::toObjectPtr (const SparseIncrementalAffineTransformVariable &o)
PStream & PLearn::operator>> (PStream &in, SparseIncrementalAffineTransformVariable &o)
PStream & PLearn::operator>> (PStream &in, SparseIncrementalAffineTransformVariable *&o)
PStream & PLearn::operator<< (PStream &out, const SparseIncrementalAffineTransformVariable &o)
PStream & PLearn::operator>> (PStream &in, PP< SparseIncrementalAffineTransformVariable > &o)
template<class ObjectType >
int PLearn::diff (const string &refer, const string &other, const Option< ObjectType, SparseIncrementalAffineTransformVariable > *opt, PLearnDiff *diffs)
Var PLearn::sparse_incremental_affine_transform (Var vec, Var transformation, real the_running_average_prop=0.01, real the_start_grad_prop=1)
 first row of transformation is the bias.
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