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Data Formats - Apache Mahout - Apache Software Foundation - Mahout - [wiki]
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Simple text vectors represent documents. The dimensions are the set of terms in the entire document set. Each document vector stores a number in the position of each term it contains. This number...
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https://cwiki.apache.org/confluence/display/MAHOUT/Data+Formats
Author: Lance Norskog,
2011-11-11, 00:00
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Testing - Apache Mahout - Apache Software Foundation - Mahout - [wiki]
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... that expected numbers come out. 'mvn test' runs these tests. There is "positive" coverage of a great many utilities and algorithms. A much smaller percent include "negative" coverage (bogus setups...
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https://cwiki.apache.org/confluence/display/MAHOUT/Testing
Author: Lance Norskog,
2011-08-21, 00:00
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Creating Vectors from Text - Apache Mahout - Apache Software Foundation - Mahout - [wiki]
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...://www.lucidimagination.com/search/document/4a0e528982b2dac3/document_clustering
From a Database
TODO:
Other
Converting existing vectors to Mahout's format
If you are in the happy position to already own a document (as in...
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https://cwiki.apache.org/confluence/display/MAHOU.../Creating+Vectors+from+Text
Author: Grant Ingersoll,
2011-05-30, 00:00
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Mean Shift Clustering - Apache Mahout - Apache Software Foundation - Mahout - [wiki]
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... increase in the local density function. Then each window is migrated to a new position via the vector and the iteration resumes. Iterations complete when each window has reached a local maximum...
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... canopy to its new centroid position and outputs the canopy to the reducer with a constant key
A single reducer coalesces all the canopies from the combiners by performing another clustering...
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https://cwiki.apache.org/confluence/display/MAHOUT/Mean+Shift+Clustering
Author: Jeff Eastman,
2010-10-10, 00:00
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PearsonCorrelation - Apache Mahout - Apache Software Foundation - Mahout - [wiki]
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... correlation measures the degree to which two series of numbers tend to move together – values in corresponding positions tend to be high together, or low together. In particular it measures...
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https://cwiki.apache.org/confluence/display/MAHOUT/PearsonCorrelation
Author: Ted2Dunning,
2010-01-09, 00:00
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Support Vector Machines - Apache Mahout - Apache Software Foundation - Mahout - [wiki]
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.... In addition each object is assigned a binary label, let us assume the labels are "positive" and "negative". During learning, the algorithm tries to find a hyperplane in that space, that perfectly...
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... separates positive from negative objects.
It is trivial to think of settings where this might very well be impossible. To remedy this situation, objects can be assigned so called slack terms...
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| ... of there being no linear hyperplane to separate positive from negative objects is to simply project each feature vector into an higher dimensional feature space and search for a linear separating... |
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https://cwiki.apache.org/confluence/display/MAHOUT/Support+Vector+Machines
Author: David Houghton,
2008-11-14, 00:00
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Glossary - Apache Mahout - Apache Software Foundation - Mahout - [wiki]
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... tend to move together – values in corresponding positions tend to be high together, or low together. In particular it measures the strength of the linear relationship between the two series...
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https://cwiki.apache.org/confluence/display/MAHOUT/Glossary
Author: David Stuart,
2010-01-09, 00:00
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LLR - Log-likelihood Ratio - Apache Mahout - Apache Software Foundation - Mahout - [wiki]
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... pairs of features that have interesting degrees of cooccurrence and those that do not with usefully small false positive and false negative rates. The LLR is typically far more suitable...
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https://cwiki.apache.org/confluence/display/MAHOU.../LLR+-+Log-likelihood+Ratio
Author: Ted2Dunning,
2010-01-09, 00:00
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CholeskyDecomposition # isPositiveDefinite() - Mahout - [javadoc]
- [see source code]
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http://search-lucene.com/jd/ma...holeskyDecomposition.html#isPositiveDefinite()
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Logistic Regression: number of positives and negatives - Mahout - [mail # user]
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... more training examples with Y=0 than examples with Y=1. Do you think I should keep the number of negative examples equal to that of positive examples? Or should I ignore that number...
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Author: Svetlomir Kasabov,
2011-07-11, 13:56
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