CFModel Class Reference
The model to save to disk. More...
Public Member Functions | |
| CFModel () | |
| Create an empty CF model. More... | |
| ~CFModel () | |
| Clean up memory. More... | |
template < typename DecompositionPolicy , typename NormalizationType = NoNormalization > | |
| const CFType< DecompositionPolicy, NormalizationType > * | CFPtr () const |
| Get the pointer to CFType<> object. More... | |
template < typename NeighborSearchPolicy , typename InterpolationPolicy > | |
| void | GetRecommendations (const size_t numRecs, arma::Mat< size_t > &recommendations, const arma::Col< size_t > &users) |
| Compute recommendations for query users. More... | |
template < typename NeighborSearchPolicy , typename InterpolationPolicy > | |
| void | GetRecommendations (const size_t numRecs, arma::Mat< size_t > &recommendations) |
| Compute recommendations for all users. More... | |
template < typename NeighborSearchPolicy , typename InterpolationPolicy > | |
| void | Predict (const arma::Mat< size_t > &combinations, arma::vec &predictions) |
| Make predictions. More... | |
template < typename Archive > | |
| void | serialize (Archive &ar, const unsigned int) |
| Serialize the model. More... | |
template < typename DecompositionPolicy , typename MatType > | |
| void | Train (const MatType &data, const size_t numUsersForSimilarity, const size_t rank, const size_t maxIterations, const double minResidue, const bool mit, const std::string &normalizationType="none") |
| Train the model. More... | |
Detailed Description
The model to save to disk.
Definition at line 121 of file cf_model.hpp.
Constructor & Destructor Documentation
◆ CFModel()
|
inline |
Create an empty CF model.
Definition at line 177 of file cf_model.hpp.
◆ ~CFModel()
| ~CFModel | ( | ) |
Clean up memory.
Member Function Documentation
◆ CFPtr()
| const CFType<DecompositionPolicy, NormalizationType>* CFPtr | ( | ) | const |
Get the pointer to CFType<> object.
◆ GetRecommendations() [1/2]
| void GetRecommendations | ( | const size_t | numRecs, |
| arma::Mat< size_t > & | recommendations, | ||
| const arma::Col< size_t > & | users | ||
| ) |
Compute recommendations for query users.
◆ GetRecommendations() [2/2]
| void GetRecommendations | ( | const size_t | numRecs, |
| arma::Mat< size_t > & | recommendations | ||
| ) |
Compute recommendations for all users.
◆ Predict()
| void Predict | ( | const arma::Mat< size_t > & | combinations, |
| arma::vec & | predictions | ||
| ) |
Make predictions.
◆ serialize()
| void serialize | ( | Archive & | ar, |
| const unsigned | int | ||
| ) |
Serialize the model.
◆ Train()
| void Train | ( | const MatType & | data, |
| const size_t | numUsersForSimilarity, | ||
| const size_t | rank, | ||
| const size_t | maxIterations, | ||
| const double | minResidue, | ||
| const bool | mit, | ||
| const std::string & | normalizationType = "none" |
||
| ) |
Train the model.
The documentation for this class was generated from the following file:
- /home/ryan/src/mlpack.org-go/_src/mlpack-git/src/mlpack/methods/cf/cf_model.hpp