Title:
mahout-distribution-0.4-src
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- 2012-11-26
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Description: Apache Mahout is the Apache Software Foundation (ASF)' s an open source project, to provide some areas of expansion of the classic machine learning algorithm, designed to help developers more quickly and easily create intelligent applications. Classical algorithms such as clustering, classification, collaborative filtering, evolutionary programming, etc.
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mahout-distribution-0.4
.......................\buildtools
.......................\..........\src
.......................\..........\...\main
.......................\..........\...\....\resources
.......................\conf
.......................\core
.......................\....\src
.......................\....\...\main
.......................\....\...\....\assembly
.......................\....\...\....\java
.......................\....\...\....\....\org
.......................\....\...\....\....\...\apache
.......................\....\...\....\....\...\......\mahout
.......................\....\...\....\....\...\......\......\cf
.......................\....\...\....\....\...\......\......\..\taste
.......................\....\...\....\....\...\......\......\..\.....\common
.......................\....\...\....\....\...\......\......\..\.....\eval
.......................\....\...\....\....\...\......\......\..\.....\hadoop
.......................\....\...\....\....\...\......\......\..\.....\......\item
.......................\....\...\....\....\...\......\......\..\.....\......\pseudo
.......................\....\...\....\....\...\......\......\..\.....\......\similarity
.......................\....\...\....\....\...\......\......\..\.....\......\..........\item
.......................\....\...\....\....\...\......\......\..\.....\......\slopeone
.......................\....\...\....\....\...\......\......\..\.....\impl
.......................\....\...\....\....\...\......\......\..\.....\....\common
.......................\....\...\....\....\...\......\......\..\.....\....\......\jdbc
.......................\....\...\....\....\...\......\......\..\.....\....\eval
.......................\....\...\....\....\...\......\......\..\.....\....\model
.......................\....\...\....\....\...\......\......\..\.....\....\.....\file
.......................\....\...\....\....\...\......\......\..\.....\....\.....\jdbc
.......................\....\...\....\....\...\......\......\..\.....\....\neighborhood
.......................\....\...\....\....\...\......\......\..\.....\....\recommender
.......................\....\...\....\....\...\......\......\..\.....\....\...........\knn
.......................\....\...\....\....\...\......\......\..\.....\....\...........\slopeone
.......................\....\...\....\....\...\......\......\..\.....\....\...........\........\file
.......................\....\...\....\....\...\......\......\..\.....\....\...........\........\jdbc
.......................\....\...\....\....\...\......\......\..\.....\....\...........\svd
.......................\....\...\....\....\...\......\......\..\.....\....\similarity
.......................\....\...\....\....\...\......\......\..\.....\....\..........\file
.......................\....\...\....\....\...\......\......\..\.....\....\..........\jdbc
.......................\....\...\....\....\...\......\......\..\.....\....\transforms
.......................\....\...\....\....\...\......\......\..\.....\model
.......................\....\...\....\....\...\......\......\..\.....\neighborhood
.......................\....\...\....\....\...\......\......\..\.....\recommender
.......................\....\...\....\....\...\......\......\..\.....\...........\slopeone
.......................\....\...\....\....\...\......\......\..\.....\similarity
.......................\....\...\....\....\...\......\......\..\.....\transforms
.......................\....\...\....\....\...\......\......\classifier
.......................\....\...\....\....\...\......\......\..........\bayes
.......................\....\...\....\....\...\......\......\..........\.....\algorithm
.......................\....\...\....\....\...\......\......\..........\.....\common
.......................\....\...\....\....\...\......\......\..........\.....\datastore
.......................\....\...\....\....\...\......\......\..........\.....\exceptions
.......................\....\...\....\....\...\......\......\..........\.....\interfaces
.......................\....\...\....\....\...\......\
