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 | Change your notification preferences: https://cwiki.apache.org/confluence/users/viewnotifications.action
