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From Suneel Marthi <suneel_mar...@yahoo.com>
Subject Re: Mahout fpg
Date Wed, 20 Nov 2013 03:25:54 GMT
Fpg has been removed from the codebase as it will not be supported.





On Tuesday, November 19, 2013 8:56 PM, Sameer Tilak <sstilak@live.com> wrote:
 
Hi everyone,I downloaded the latest version of Mahout and did mvn install. When I try to run
fog, I get the following errors. Do I need to download and compile FPG separately? Looks like
somehow it has not been included in the list of valid programs.
13/11/19 17:49:19 WARN driver.MahoutDriver: Unable to add class: fpg13/11/19 17:49:19 WARN
driver.MahoutDriver: No fpg.props found on classpath, will use command-line arguments onlyUnknown
program 'fpg' chosen.Valid program names are:  arff.vector: : Generate Vectors from an ARFF
file or directory  baumwelch: : Baum-Welch algorithm for unsupervised HMM training  canopy:
: Canopy clustering  cat: : Print a file or resource as the logistic regression models would
see it  cleansvd: : Cleanup and verification of SVD output  clusterdump: : Dump cluster
output to text  clusterpp: : Groups Clustering Output In Clusters  cmdump: : Dump confusion
matrix in HTML or text formats  concatmatrices: : Concatenates 2 matrices of same cardinality
into a single matrix  cvb: : LDA via Collapsed Variation Bayes (0th deriv. approx)  cvb0_local:
: LDA via Collapsed Variation Bayes, in memory locally.  evaluateFactorization: : compute
RMSE and MAE of a rating
 matrix factorization against probes  fkmeans: : Fuzzy K-means clustering  hmmpredict: :
Generate random sequence of observations by given HMM  itemsimilarity: : Compute the item-item-similarities
for item-based collaborative filtering  kmeans: : K-means clustering  lucene.vector: : Generate
Vectors from a Lucene index  lucene2seq: : Generate Text SequenceFiles from a Lucene index 
matrixdump: : Dump matrix in CSV format  matrixmult: : Take the product of two matrices 
parallelALS: : ALS-WR factorization of a rating matrix  qualcluster: : Runs clustering experiments
and summarizes results in a CSV  recommendfactorized: : Compute recommendations using the
factorization of a rating matrix  recommenditembased: : Compute recommendations using item-based
collaborative filtering  regexconverter: : Convert text files on a per line basis based on
regular expressions  resplit: : Splits a set of SequenceFiles into a number of equal splits 
rowid: :
 Map SequenceFile<Text,VectorWritable> to {SequenceFile<IntWritable,VectorWritable>,
SequenceFile<IntWritable,Text>}  rowsimilarity: : Compute the pairwise similarities
of the rows of a matrix  runAdaptiveLogistic: : Score new production data using a probably
trained and validated AdaptivelogisticRegression model  runlogistic: : Run a logistic regression
model against CSV data  seq2encoded: : Encoded Sparse Vector generation from Text sequence
files  seq2sparse: : Sparse Vector generation from Text sequence files  seqdirectory: :
Generate sequence files (of Text) from a directory  seqdumper: : Generic Sequence File dumper 
seqmailarchives: : Creates SequenceFile from a directory containing gzipped mail archives 
seqwiki: : Wikipedia xml dump to sequence file  spectralkmeans: : Spectral k-means clustering 
split: : Split Input data into test and train sets  splitDataset: : split a rating dataset
into training and probe parts  ssvd: :
 Stochastic SVD  streamingkmeans: : Streaming k-means clustering  svd: : Lanczos Singular
Value Decomposition  testnb: : Test the Vector-based Bayes classifier  trainAdaptiveLogistic:
: Train an AdaptivelogisticRegression model  trainlogistic: : Train a logistic regression
using stochastic gradient descent  trainnb: : Train the Vector-based Bayes classifier  transpose:
: Take the transpose of a matrix  validateAdaptiveLogistic: : Validate an AdaptivelogisticRegression
model against hold-out data set  vecdist: : Compute the distances between a set of Vectors
(or Cluster or Canopy, they must fit in memory) and a list of Vectors  vectordump: : Dump
vectors from a sequence file to text  viterbi: : Viterbi decoding of hidden states from given
output states sequence                           
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