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PLearn 0.1
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#include <plearn_learners/second_iteration/ComputeDond2Target.h>#include <plearn_learners/second_iteration/FixDond2BinaryVariables.h>#include <plearn_learners/second_iteration/DichotomizeDond2DiscreteVariables.h>#include <plearn_learners/second_iteration/MeanMedianModeImputationVMatrix.h>#include <plearn_learners/second_iteration/GaussianizeVMatrix.h>#include <plearn_learners/second_iteration/MissingIndicatorVMatrix.h>#include <plearn_learners/generic/PLearner.h>#include <plearn_learners/testers/PTester.h>#include <plearn/vmat/FileVMatrix.h>#include <plearn/vmat/MemoryVMatrix.h>

Go to the source code of this file.
Classes | |
| class | PLearn::Preprocessing |
| Generate samples from a mixture of two gaussians. More... | |
| class | PLearn::DiffTemplate< ObjectType, Preprocessing > |
| class | PLearn::TypeTraits< Preprocessing > |
Namespaces | |
| namespace | PLearn |
< for swap | |
Functions | |
| Object * | PLearn::toObjectPtr (const Preprocessing &o) |
| PStream & | PLearn::operator>> (PStream &in, Preprocessing &o) |
| PStream & | PLearn::operator>> (PStream &in, Preprocessing *&o) |
| PStream & | PLearn::operator<< (PStream &out, const Preprocessing &o) |
| PStream & | PLearn::operator>> (PStream &in, PP< Preprocessing > &o) |
| template<class ObjectType > | |
| int | PLearn::diff (const string &refer, const string &other, const Option< ObjectType, Preprocessing > *opt, PLearnDiff *diffs) |
Definition in file Preprocessing.h.
1.7.4