aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
scoringCache.h File Reference

a cache for caching scores and independence tests results More...

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Classes

class  gum::learning::ScoringCache
 a cache for caching scores and independence tests results More...

Namespaces

namespace  gum
 gum is the global namespace for all aGrUM entities
namespace  gum::learning
 include the inlined functions if necessary

Detailed Description

a cache for caching scores and independence tests results

Caching previously computed scores or the results of conditional independence tests is very important for learning algorithms because computing a score or an independence test requires parsing the database and this is the most time consuming operation in learning. This class provides an efficient cache that can significantly alleviate the learning computational burden.

Author
Christophe GONZALES(_at_AMU) and Pierre-Henri WUILLEMIN(_at_LIP6)

Definition in file scoringCache.h.