IIterativeModel Interface Reference

Interface representing iteratively trained models More...

Inheritance diagram for IIterativeModel:

Public Member Functions
float	ComputeObjective ()
	Compute the current optimization objective (usually loss plus regularization term) of the model More...
void	Iterate ()
	Run one iteration (= pass over the training data) More...

Properties
uint	NumIter [get, set]
	Number of iterations to run the training More...

Detailed Description

Interface representing iteratively trained models

Member Function Documentation

float ComputeObjective

(

)

Compute the current optimization objective (usually loss plus regularization term) of the model

Returns

the current objective; -1 if not implemented

Implemented in BiasedMatrixFactorization, BPRMF, SVDPlusPlus, MatrixFactorization, CoClustering, BPRSLIM, TimeAwareBaseline, LeastSquareSLIM, FactorWiseMatrixFactorization, UserItemBaseline, LatentFeatureLogLinearModel, SigmoidCombinedAsymmetricFactorModel, SigmoidItemAsymmetricFactorModel, SigmoidUserAsymmetricFactorModel, SocialMF, WRMF, MF, TimeAwareBaselineWithFrequencies, SoftMarginRankingMF, and SLIM.

void Iterate

(

)

Run one iteration (= pass over the training data)

Implemented in BiasedMatrixFactorization, TimeAwareBaseline, BPRMF, LeastSquareSLIM, MatrixFactorization, FactorWiseMatrixFactorization, LatentFeatureLogLinearModel, BPRSLIM, CoClustering, UserItemBaseline, SLIM, MF, and WRMF.

Property Documentation

uint NumIter

getset

Number of iterations to run the training

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The documentation for this interface was generated from the following file:

• IIterativeModel.cs