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Last change
on this file since 1438 was
726,
checked in by sherbold, 12 years ago
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- added manuals for the commands calcCoverage, calcEntropy, deleteObject, flattenModel, generateFixedLengthSequences, generateGreedy, generateHybrid, generateReplayfile, listSymbols, load, loadObject, modelSize, printDot, printTrieDot, save, saveObject, sequenceStatistics, showMarkovModel, showTime, showTrie, startFileListener, stopFileListener, trainDFA, trainPPM, and updateModel
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File size:
476 bytes
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| 1 | Trains a Prediction by Partial Match (PPM) model from a collection of sequences. |
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| 2 | |
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| 3 | $USAGE$ |
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| 4 | <modelname> the name of the PPM model |
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| 5 | <sequences> the name of the sequences from which the model is trained |
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| 6 | <probEscape> defines the probability to use a lower order Markov model |
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| 7 | <maxOrder> defines the Markov order of the PPM model |
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| 8 | <minOrder> optional; defines the minimal Markov order of the PPM model; default: 0 |
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| 9 | |
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| 10 | Examples: |
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| 11 | trainPPM ppm sequences 0.1 3 |
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| 12 | trainPPM ppm sequences 0.1 3 1 |
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