Mahout Learning (3)

Public class tmahout03 {public static void main (string [] ARGs) throws ioexception, tasteexception {//-configuration and operation of accuracy and recall rate evaluation -//
Randomutils. usetestseed (); datamodel model = new filedatamodel (new file ("path/UA. base "); recommenderirstatsevaluator irstatsevaluator = new genericrecommenderirstatsevaluator (); recommenderbuilder = new recommenderbuilder () {@ override public recommender buildrecommender (datamodel Model) throws tasteexception {usersimilarity similarity = new feature (model); required neighborhood = new feature (2, similarity, model); return new feature (model, neighborhood, similarity );}}; irstatistics stats = irstatsevaluator. evaluate (recommenderbuilder, null, model, null, 2, genericrecommenderirstatsevaluator. choose_threshold, 1.0); system. out. println (stats. getprecision (); system. out. println (stats. getrecall ());}}

// Slopeonerecommender @ deprecated.

1 February 2014 - Apache Mahout 0.9 released Apache Mahout has reached version 0.9. All developers are encouraged to begin using version 0.9. Highlights include:     New and improved Mahout website based on Apache CMS - MAHOUT-1245    Early implementation of a Multi Layer Perceptron (MLP) classifier - MAHOUT-1265    Scala DSL Bindings for Mahout Math Linear Algebra. See this blogpost and MAHOUT-1297    Recommenders as Search. See [https://github.com/pferrel/solr-recommender] and MAHOUT-1288    Support for easy functional Matrix views and derivatives - MAHOUT-1300    JSON output format for ClusterDumper - MAHOUT-1343    Enabled randomised testing for all Mahout modules using Carrot RandomizedRunner - MAHOUT-1345    Online Algorithm for computing accurate Quantiles using 1-dimensional Clustering - See this pdf and MAHOUT-1361    Upgrade to Lucene 4.6.1 - MAHOUT-1364 Changes in 0.9 are detailed in the release notes. The following algorithms that were marked deprecated in 0.8 have been removed in 0.9:     Switched LDA implementation from Gibbs Sampling to Collapsed Variational Bayes    Meanshift - removed due to lack of actual usage and support    MinHash - removed due to lack of actual usage and support    Winnow - removed due to lack of actual usage and support    Perceptron - removed due to lack of actual usage and support<span style="color: #ff6600;"><strong>    Slope One - removed due to lack of actual usage</strong></span>    Distributed Pseudo recommender - removed due to lack of actual usage    TreeClusteringRecommender - removed due to lack of actual usage

 

 

Mahout Learning (3)