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From conflue...@apache.org
Subject [CONF] Apache Mahout > Algorithm summary table
Date Sat, 16 Jul 2011 07:44:01 GMT
Space: Apache Mahout (https://cwiki.apache.org/confluence/display/MAHOUT)
Page: Algorithm summary table (https://cwiki.apache.org/confluence/display/MAHOUT/Algorithm+summary+table)


Edited by Sebastian Schelter:
---------------------------------------------------------------------
h3. Classification

|| algorithm name || description || production-ready? || needs Hadoop? || input format ||
run command ||
| SGD LogisticRegression command line | train a logistic regression model with Stochastic
Gradient Descent | x | | CSV with Header | trainAdaptiveLogistic |
| SGD LogisticRegression API | train a logistic regression model with Stochastic Gradient
Descent | x | | Mahout Vector, feature hashing API | custom code |
| Random Forest | build a random forest |  | x | CSV without header and quotes | BuildForest
|

h3. Collaborative Filtering

|| algorithm name || description || production-ready? || needs Hadoop? || input format ||
run command ||
| Itembased Collaborative Filtering |compute pairwise item-similarities | x | x | tab-separated
text files | itemsimilarity |
| Itembased Collaborative Filtering | compute recommendations as batch | x | x | tab-separated
text files | recommenditembased  |
| Matrix factorization with Alternating Least Squares | decompose a rating matrix |  | x |
tab-separated text files | parallelALS  |
| Matrix factorization with Alternating Least Squares | predict unknown preferences using
decomposed rating matrix |  | x | tab-separated text files | predictFromFactorization  |

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