IIterativeModel Interface Reference

Interface representing iteratively trained models. More...

Inheritance diagram for IIterativeModel:

List of all members.

Public Member Functions
double	ComputeFit ()
	Compute the fit (e.g. RMSE for rating prediction or AUC for item prediction/ranking) on the training data.
void	Iterate ()
	Run one iteration (= pass over the training data).
Properties
uint	NumIter [get, set]
	Number of iterations to run the training.

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Detailed Description

Interface representing iteratively trained models.

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Member Function Documentation

double ComputeFit

(

)

Compute the fit (e.g. RMSE for rating prediction or AUC for item prediction/ranking) on the training data.

Returns:

the fit on the training data according to the optimization criterion; -1 if not implemented

Implemented in BPR_Linear, BPRMF, MF, WRMF, FactorWiseMatrixFactorization, MatrixFactorization, TimeAwareBaseline, TimeAwareBaselineWithFrequencies, and UserItemBaseline.

void Iterate

(

)

Run one iteration (= pass over the training data).

Implemented in BPR_Linear, BPRMF, MF, WRMF, BiasedMatrixFactorization, FactorWiseMatrixFactorization, MatrixFactorization, TimeAwareBaseline, and UserItemBaseline.

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Property Documentation

uint NumIter [get, set]

Number of iterations to run the training.

Implemented in BPR_Linear, MF, FactorWiseMatrixFactorization, MatrixFactorization, TimeAwareBaseline, and UserItemBaseline.

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

• IIterativeModel.cs