- General
- Developers
- Mahout-Samsara
- Algorithms
- List of algorithms
- Distributed Matrix Decomposition
- Cholesky QR
- SSVD
- Distributed ALS
- SPCA
- Recommendations
- Recommender Overview
- Intro to cooccurrence-based
recommendations with Spark - Classification
- Spark Naive Bayes
- MapReduce Basics
- List of algorithms
- Overview
- Working with text
- Creating vectors from text
- Collocations
- Dimensionality reduction
- Singular Value Decomposition
- Stochastic SVD
- Topic Models
- Latent Dirichlet Allocation
- Mahout MapReduce
- Classification
- Naive Bayes
- Hidden Markov Models
- Logistic Regression (Single Machine)
- Random Forest
- Classification Examples
- Breiman example
- 20 newsgroups example
- SGD classifier bank marketing
- Wikipedia XML parser and classifier
- Clustering
- k-Means
- Canopy
- Fuzzy k-Means
- Streaming KMeans
- Spectral Clustering
- Clustering Commandline usage
- Options for k-Means
- Options for Canopy
- Options for Fuzzy k-Means
- Clustering Examples
- Synthetic data
- Cluster Post processing
- Cluster Dumper tool
- Cluster visualisation
- Recommendations
- First Timer FAQ
- A user-based recommender
in 5 minutes - Matrix factorization-based
recommenders - Overview
- Intro to item-based recommendations
with Hadoop - Intro to ALS recommendations
with Hadoop
Intro
Many of the Mahout libraries run as batch jobs, dumping results into Hadoop sequence files or other data structures. This page is intended to demonstrate the various ways one might inspect the outcome of various jobs. The page is organized by algorithms.
General Utilities
Sequence File Dumper
Clustering
Cluster Dumper
Run the following to print out all options:
java -cp "*" org.apache.mahout.utils.clustering.ClusterDumper --help
Example
java -cp "*" org.apache.mahout.utils.clustering.ClusterDumper --seqFileDir ./solr-clust-n2/out/clusters-2
--dictionary ./solr-clust-n2/dictionary.txt
--substring 100 --pointsDir ./solr-clust-n2/out/points/