public class BPoissMFRecommender extends MatrixFactorizationRecommender
Modifier and Type | Class and Description |
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class |
BPoissMFRecommender.GammaDenseMatrix |
class |
BPoissMFRecommender.GammaDenseMatrixGR |
class |
BPoissMFRecommender.GammaDenseVector |
initMean, initStd, itemFactors, learnRate, maxLearnRate, numFactors, numIterations, regItem, regUser, userFactors
conf, context, decay, earlyStop, globalMean, isBoldDriver, isRanking, itemMappingData, lastLoss, LOG, loss, maxRate, minRate, numItems, numRates, numUsers, ratingScale, recommendedList, testMatrix, topN, trainMatrix, userMappingData, validMatrix, verbose
Constructor and Description |
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BPoissMFRecommender() |
Modifier and Type | Method and Description |
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protected DenseVector |
getPhi(DenseMatrix Theta,
int indexTheta,
DenseMatrix Beta,
int indexBeta,
int number) |
protected double |
predict(int userIdx,
int itemIdx)
predict a specific rating for user userIdx on item itemIdx.
|
protected void |
setup()
setup
init member method
|
protected void |
trainModel()
train Model
|
updateLRate
cleanup, evaluate, evaluateMap, getContext, getDataModel, getRecommendedList, isConverged, loadModel, predict, recommend, recommend, recommendRank, recommendRating, saveModel, setContext
protected void setup() throws LibrecException
MatrixFactorizationRecommender
setup
in class MatrixFactorizationRecommender
LibrecException
- if error occurs during setting upprotected DenseVector getPhi(DenseMatrix Theta, int indexTheta, DenseMatrix Beta, int indexBeta, int number) throws LibrecException
LibrecException
protected void trainModel() throws LibrecException
AbstractRecommender
trainModel
in class AbstractRecommender
LibrecException
- if error occurs during training modelprotected double predict(int userIdx, int itemIdx) throws LibrecException
MatrixFactorizationRecommender
predict
in class MatrixFactorizationRecommender
userIdx
- user indexitemIdx
- item indexLibrecException
- if error occurs during predictingCopyright © 2017. All Rights Reserved.