IIterativeModel Interface Reference

Interface representing iteratively trained models. More...

Inheritance diagram for IIterativeModel:

List of all members.

Public Member Functions
float	ComputeObjective ()
	Compute the current optimization objective (usually loss plus regularization term) of the model.
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

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 BPRLinear, BPRMF, MF, SoftMarginRankingMF, WRMF, BiasedMatrixFactorization, CoClustering, FactorWiseMatrixFactorization, LatentFeatureLogLinearModel, MatrixFactorization, SocialMF, TimeAwareBaseline, TimeAwareBaselineWithFrequencies, and UserItemBaseline.

void Iterate

(

)

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

Implemented in BPRLinear, BPRMF, MF, MultiCoreBPRMF, WRMF, BiasedMatrixFactorization, CoClustering, FactorWiseMatrixFactorization, LatentFeatureLogLinearModel, MatrixFactorization, TimeAwareBaseline, and UserItemBaseline.

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Property Documentation

uint NumIter [get, set]

Number of iterations to run the training.

Implemented in BPRLinear, MF, CoClustering, FactorWiseMatrixFactorization, LatentFeatureLogLinearModel, MatrixFactorization, TimeAwareBaseline, and UserItemBaseline.

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

• IIterativeModel.cs