Author: gsingers
Date: Sat Nov 5 14:17:52 2011
New Revision: 1197964
URL: http://svn.apache.org/viewvc?rev=1197964&view=rev
Log:
organize driver.classes.props
Modified:
mahout/trunk/src/conf/driver.classes.props
Modified: mahout/trunk/src/conf/driver.classes.props
URL:
http://svn.apache.org/viewvc/mahout/trunk/src/conf/driver.classes.props?rev=1197964&r1=1197963&r2=1197964&view=diff
==============================================================================
--- mahout/trunk/src/conf/driver.classes.props (original)
+++ mahout/trunk/src/conf/driver.classes.props Sat Nov 5 14:17:52 2011
@@ -1,53 +1,62 @@
+#Utils
org.apache.mahout.utils.vectors.VectorDumper = vectordump : Dump vectors from
a sequence file to text
org.apache.mahout.utils.clustering.ClusterDumper = clusterdump : Dump cluster
output to text
org.apache.mahout.utils.SequenceFileDumper = seqdumper : Generic Sequence File
dumper
-org.apache.mahout.cf.taste.hadoop.als.DatasetSplitter = splitDataset : split a
rating dataset into training and probe parts
-org.apache.mahout.cf.taste.hadoop.als.FactorizationEvaluator =
evaluateFactorization : compute RMSE and MAE of a rating matrix factorization
against probes
+org.apache.mahout.utils.vectors.lucene.Driver = lucene.vector : Generate
Vectors from a Lucene index
+org.apache.mahout.utils.vectors.arff.Driver = arff.vector : Generate Vectors
from an ARFF file or directory
+org.apache.mahout.utils.vectors.RowIdJob = rowid : Map
SequenceFile<Text,VectorWritable> to {SequenceFile<IntWritable,VectorWritable>,
SequenceFile<IntWritable,Text>}
+org.apache.mahout.utils.SplitInput = split : Split Input data into test and
train sets
+org.apache.mahout.utils.MatrixDumper = matrixdump : Dump matrix in CSV format
+org.apache.mahout.text.SequenceFilesFromDirectory = seqdirectory : Generate
sequence files (of Text) from a directory
+org.apache.mahout.vectorizer.SparseVectorsFromSequenceFiles = seq2sparse:
Sparse Vector generation from Text sequence files
+org.apache.mahout.vectorizer.EncodedVectorsFromSequenceFiles = seq2encoded:
Encoded Sparse Vector generation from Text sequence files
+org.apache.mahout.text.WikipediaToSequenceFile = seqwiki : Wikipedia xml dump
to sequence file
+
+#Math
+org.apache.mahout.math.hadoop.TransposeJob = transpose : Take the transpose of
a matrix
+org.apache.mahout.math.hadoop.MatrixMultiplicationJob = matrixmult : Take the
product of two matrices
+org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver = svd :
Lanczos Singular Value Decomposition
+org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob = cleansvd :
Cleanup and verification of SVD output
+org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob =
rowsimilarity : Compute the pairwise similarities of the rows of a matrix
+org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob =
vecdist : Compute the distances between a set of Vectors (or Cluster or Canopy,
they must fit in memory) and a list of Vectors
+org.apache.mahout.math.hadoop.stochasticsvd.SSVDCli = ssvd : Stochastic SVD
+#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.LDADriver = lda : Latent Dirchlet Allocation
org.apache.mahout.clustering.lda.LDAPrintTopics = ldatopics : LDA Print Topics
-org.apache.mahout.fpm.pfpgrowth.FPGrowthDriver = fpg : Frequent Pattern Growth
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.math.hadoop.TransposeJob = transpose : Take the transpose of
a matrix
-org.apache.mahout.math.hadoop.MatrixMultiplicationJob = matrixmult : Take the
product of two matrices
-org.apache.mahout.utils.vectors.lucene.Driver = lucene.vector : Generate
Vectors from a Lucene index
-org.apache.mahout.utils.vectors.arff.Driver = arff.vector : Generate Vectors
from an ARFF file or directory
-org.apache.mahout.text.SequenceFilesFromDirectory = seqdirectory : Generate
sequence files (of Text) from a directory
-org.apache.mahout.vectorizer.SparseVectorsFromSequenceFiles = seq2sparse:
Sparse Vector generation from Text sequence files
-org.apache.mahout.vectorizer.EncodedVectorsFromSequenceFiles = seq2encoded:
Encoded Sparse Vector generation from Text sequence files
-org.apache.mahout.utils.vectors.RowIdJob = rowid : Map
SequenceFile<Text,VectorWritable> to {SequenceFile<IntWritable,VectorWritable>,
SequenceFile<IntWritable,Text>}
-org.apache.mahout.text.WikipediaToSequenceFile = seqwiki : Wikipedia xml dump
to sequence file
+org.apache.mahout.clustering.spectral.eigencuts.EigencutsDriver = eigencuts :
Eigencuts spectral clustering
+org.apache.mahout.clustering.spectral.kmeans.SpectralKMeansDriver =
spectralkmeans : Spectral k-means clustering
+#Freq. Itemset Mining
+org.apache.mahout.fpm.pfpgrowth.FPGrowthDriver = fpg : Frequent Pattern Growth
+#Classification
org.apache.mahout.classifier.bayes.TestClassifier = testclassifier : Test the
text based Bayes Classifier
org.apache.mahout.classifier.bayes.TrainClassifier = trainclassifier : Train
the text based Bayes Classifier
org.apache.mahout.classifier.bayes.PrepareTwentyNewsgroups =
prepare20newsgroups : Reformat 20 newsgroups data
-org.apache.mahout.math.hadoop.decomposer.DistributedLanczosSolver = svd :
Lanczos Singular Value Decomposition
-org.apache.mahout.math.hadoop.decomposer.EigenVerificationJob = cleansvd :
Cleanup and verification of SVD output
-org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob =
rowsimilarity : Compute the pairwise similarities of the rows of a matrix
-org.apache.mahout.math.hadoop.similarity.VectorDistanceSimilarityJob =
vecdist : Compute the distances between a set of Vectors (or Cluster or Canopy,
they must fit in memory) and a list of Vectors
-org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob =
itemsimilarity : Compute the item-item-similarities for item-based
collaborative filtering
-org.apache.mahout.cf.taste.hadoop.item.RecommenderJob = recommenditembased :
Compute recommendations using item-based collaborative filtering
org.apache.mahout.classifier.sgd.TrainLogistic = trainlogistic : Train a
logistic regression using stochastic gradient descent
org.apache.mahout.classifier.sgd.RunLogistic = runlogistic : Run a logistic
regression model against CSV data
org.apache.mahout.classifier.sgd.PrintResourceOrFile = cat : Print a file or
resource as the logistic regression models would see it
org.apache.mahout.classifier.sgd.TrainAdaptiveLogistic = trainAdaptiveLogistic
: Train an AdaptivelogisticRegression model
org.apache.mahout.classifier.sgd.ValidateAdaptiveLogistic =
validateAdaptiveLogistic : Validate an AdaptivelogisticRegression model against
hold-out data set
org.apache.mahout.classifier.sgd.RunAdaptiveLogistic = runAdaptiveLogistic :
Score new production data using a probably trained and validated
AdaptivelogisticRegression model
-org.apache.mahout.classifier.bayes.WikipediaXmlSplitter = wikipediaXMLSplitter
: Reads wikipedia data and creates ch
+org.apache.mahout.classifier.bayes.WikipediaXmlSplitter = wikipediaXMLSplitter
: Reads wikipedia data and creates ch
org.apache.mahout.classifier.bayes.WikipediaDatasetCreatorDriver =
wikipediaDataSetCreator : Splits data set of wikipedia wrt feature like country
-org.apache.mahout.math.hadoop.stochasticsvd.SSVDCli = ssvd : Stochastic SVD
-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.cf.taste.hadoop.als.ParallelALSFactorizationJob =
parallelALS : ALS-WR factorization of a rating matrix
-org.apache.mahout.cf.taste.hadoop.als.RecommenderJob = recommendfactorized :
Compute recommendations using the factorization of a rating matrix
org.apache.mahout.classifier.sequencelearning.hmm.BaumWelchTrainer = baumwelch
: Baum-Welch algorithm for unsupervised HMM training
org.apache.mahout.classifier.sequencelearning.hmm.ViterbiEvaluator = viterbi :
Viterbi decoding of hidden states from given output states sequence
org.apache.mahout.classifier.sequencelearning.hmm.RandomSequenceGenerator =
hmmpredict : Generate random sequence of observations by given HMM
-org.apache.mahout.utils.SplitInput = split : Split Input data into test and
train sets
org.apache.mahout.classifier.naivebayes.training.TrainNaiveBayesJob = trainnb
: Train the Vector-based Bayes classifier
org.apache.mahout.classifier.naivebayes.test.TestNaiveBayesDriver = testnb :
Test the Vector-based Bayes classifier
org.apache.mahout.classifier.ConfusionMatrixDumper = cmdump : Dump confusion
matrix in HTML or text formats
-org.apache.mahout.utils.MatrixDumper = matrixdump : Dump matrix in CSV format
+
+
+org.apache.mahout.cf.taste.hadoop.als.DatasetSplitter = splitDataset : split a
rating dataset into training and probe parts
+org.apache.mahout.cf.taste.hadoop.als.FactorizationEvaluator =
evaluateFactorization : compute RMSE and MAE of a rating matrix factorization
against probes
+org.apache.mahout.cf.taste.hadoop.similarity.item.ItemSimilarityJob =
itemsimilarity : Compute the item-item-similarities for item-based
collaborative filtering
+org.apache.mahout.cf.taste.hadoop.item.RecommenderJob = recommenditembased :
Compute recommendations using item-based collaborative filtering
+org.apache.mahout.cf.taste.hadoop.als.ParallelALSFactorizationJob =
parallelALS : ALS-WR factorization of a rating matrix
+org.apache.mahout.cf.taste.hadoop.als.RecommenderJob = recommendfactorized :
Compute recommendations using the factorization of a rating matrix
+
