def NaiveBayesPrepareFeatures(ctx, outFeaturesMaps, featuresBitMask):
logging.getLogger("NaiveBayes").info("prepare features")
MinerFeaturesUtils.initFeatures(ctx, outFeaturesMaps)
if (featuresBitMask & MinerFeaturesUtils.eFeaturesMaskBits.wordExists):
MinerFeaturesUtils.addFeaturesWordExists(ctx, outFeaturesMaps)
if (featuresBitMask & MinerFeaturesUtils.eFeaturesMaskBits.commentLength):
MinerFeaturesUtils.addFeaturesCommentLength(ctx, outFeaturesMaps)
if (featuresBitMask
& MinerFeaturesUtils.eFeaturesMaskBits.helpfullnessRatio):
MinerFeaturesUtils.addFeaturesHelpfulnessRatio(ctx, outFeaturesMaps)
if (featuresBitMask
& MinerFeaturesUtils.eFeaturesMaskBits.authorFreqInReview):
MinerFeaturesUtils.addFeaturesAuthorFreqInReview(ctx, outFeaturesMaps)
if (featuresBitMask
& MinerFeaturesUtils.eFeaturesMaskBits.reviewAuthorMentioned):
MinerFeaturesUtils.addFeaturesReviewAuthorMentioned(
ctx, outFeaturesMaps)
if (featuresBitMask
& MinerFeaturesUtils.eFeaturesMaskBits.commentAuthorMentioned):
MinerFeaturesUtils.addFeaturesCommentAuthorMentioned(
ctx, outFeaturesMaps)
if (featuresBitMask & MinerFeaturesUtils.eFeaturesMaskBits.dist):
MinerFeaturesUtils.addFeaturesDist(ctx, outFeaturesMaps)
if (featuresBitMask & MinerFeaturesUtils.eFeaturesMaskBits.phrases):
MinerFeaturesUtils.addFeaturesPhrases(ctx, outFeaturesMaps)
def SvmPrepareFeatures( ctx, outFeaturesMaps ):
logging.getLogger("Svm").info( "prepare features" )
MinerFeaturesUtils.initFeatures( ctx, outFeaturesMaps )
MinerFeaturesUtils.addFeaturesCommentLength( ctx, outFeaturesMaps )
MinerFeaturesUtils.addFeaturesHelpfulnessRatio( ctx, outFeaturesMaps )
MinerFeaturesUtils.addFeaturesPhrases( ctx, outFeaturesMaps )
MinerFeaturesUtils.addFeaturesWordExists( ctx, outFeaturesMaps )
MinerFeaturesUtils.addFeaturesAuthorFreqInReview(ctx, outFeaturesMaps)
MinerFeaturesUtils.addFeaturesReviewAuthorMentioned(ctx, outFeaturesMaps)
MinerFeaturesUtils.addFeaturesCommentAuthorMentioned( ctx, outFeaturesMaps )
MinerFeaturesUtils.addFeaturesCAR( ctx, outFeaturesMaps )
def SvmPrepareFeatures(ctx, outFeaturesMaps):
logging.getLogger("Svm").info("prepare features")
MinerFeaturesUtils.initFeatures(ctx, outFeaturesMaps)
MinerFeaturesUtils.addFeaturesCommentLength(ctx, outFeaturesMaps)
MinerFeaturesUtils.addFeaturesHelpfulnessRatio(ctx, outFeaturesMaps)
MinerFeaturesUtils.addFeaturesPhrases(ctx, outFeaturesMaps)
MinerFeaturesUtils.addFeaturesWordExists(ctx, outFeaturesMaps)
MinerFeaturesUtils.addFeaturesAuthorFreqInReview(ctx, outFeaturesMaps)
MinerFeaturesUtils.addFeaturesReviewAuthorMentioned(ctx, outFeaturesMaps)
MinerFeaturesUtils.addFeaturesCommentAuthorMentioned(ctx, outFeaturesMaps)
MinerFeaturesUtils.addFeaturesCAR(ctx, outFeaturesMaps)
def NaiveBayesPrepareFeatures( ctx, outFeaturesMaps, featuresBitMask ):
logging.getLogger("NaiveBayes").info( "prepare features" )
MinerFeaturesUtils.initFeatures( ctx, outFeaturesMaps )
if ( featuresBitMask & MinerFeaturesUtils.eFeaturesMaskBits.wordExists ):
MinerFeaturesUtils.addFeaturesWordExists( ctx, outFeaturesMaps )
if ( featuresBitMask & MinerFeaturesUtils.eFeaturesMaskBits.commentLength ):
MinerFeaturesUtils.addFeaturesCommentLength( ctx, outFeaturesMaps )
if ( featuresBitMask & MinerFeaturesUtils.eFeaturesMaskBits.helpfullnessRatio ):
MinerFeaturesUtils.addFeaturesHelpfulnessRatio( ctx, outFeaturesMaps )
if ( featuresBitMask & MinerFeaturesUtils.eFeaturesMaskBits.authorFreqInReview ):
MinerFeaturesUtils.addFeaturesAuthorFreqInReview(ctx, outFeaturesMaps)
if ( featuresBitMask & MinerFeaturesUtils.eFeaturesMaskBits.reviewAuthorMentioned ):
MinerFeaturesUtils.addFeaturesReviewAuthorMentioned(ctx, outFeaturesMaps)
if ( featuresBitMask & MinerFeaturesUtils.eFeaturesMaskBits.commentAuthorMentioned ):
MinerFeaturesUtils.addFeaturesCommentAuthorMentioned( ctx, outFeaturesMaps )
if ( featuresBitMask & MinerFeaturesUtils.eFeaturesMaskBits.dist ):
MinerFeaturesUtils.addFeaturesDist( ctx, outFeaturesMaps )
if ( featuresBitMask & MinerFeaturesUtils.eFeaturesMaskBits.phrases ):
MinerFeaturesUtils.addFeaturesPhrases( ctx, outFeaturesMaps )