Author: ssc
Date: Wed Jul 31 05:08:41 2013
New Revision: 1508726
URL: http://svn.apache.org/r1508726
Log:
MAHOUT-1296 - Remove deprecated algorithms
Removed:
mahout/trunk/src/conf/dirichlet.props
mahout/trunk/src/conf/fpg.props
mahout/trunk/src/conf/meanshift.props
Modified:
mahout/trunk/src/conf/driver.classes.default.props
Modified: mahout/trunk/src/conf/driver.classes.default.props
URL:
http://svn.apache.org/viewvc/mahout/trunk/src/conf/driver.classes.default.props?rev=1508726&r1=1508725&r2=1508726&view=diff
==============================================================================
--- mahout/trunk/src/conf/driver.classes.default.props (original)
+++ mahout/trunk/src/conf/driver.classes.default.props Wed Jul 31 05:08:41 2013
@@ -29,19 +29,13 @@ org.apache.mahout.math.hadoop.stochastic
#Clustering
org.apache.mahout.clustering.kmeans.KMeansDriver = kmeans : K-means clustering
org.apache.mahout.clustering.fuzzykmeans.FuzzyKMeansDriver = fkmeans : Fuzzy
K-means clustering
-org.apache.mahout.clustering.minhash.MinHashDriver = minhash : Run Minhash
clustering
org.apache.mahout.clustering.lda.cvb.CVB0Driver = cvb : LDA via Collapsed
Variation Bayes (0th deriv. approx)
org.apache.mahout.clustering.lda.cvb.InMemoryCollapsedVariationalBayes0 =
cvb0_local : LDA via Collapsed Variation Bayes, in memory locally.
-org.apache.mahout.clustering.dirichlet.DirichletDriver = dirichlet : Dirichlet
Clustering
-org.apache.mahout.clustering.meanshift.MeanShiftCanopyDriver = meanshift :
Mean Shift clustering
org.apache.mahout.clustering.canopy.CanopyDriver = canopy : Canopy clustering
-org.apache.mahout.clustering.spectral.eigencuts.EigencutsDriver = eigencuts :
Eigencuts spectral clustering
org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver =
spectralkmeans : Spectral k-means clustering
org.apache.mahout.clustering.topdown.postprocessor.ClusterOutputPostProcessorDriver
= clusterpp : Groups Clustering Output In Clusters
org.apache.mahout.clustering.streaming.mapreduce.StreamingKMeansDriver =
streamingkmeans : Streaming k-means clustering
-#Freq. Itemset Mining
-org.apache.mahout.fpm.pfpgrowth.FPGrowthDriver = fpg : Frequent Pattern Growth
#Classification
#new bayes
org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob = trainnb
: Train the Vector-based Bayes classifier
