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| <h1 title="Package opennlp.tools.ml.naivebayes" class="title">Package opennlp.tools.ml.naivebayes</h1> |
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| <div class="package-signature">package <span class="element-name">opennlp.tools.ml.naivebayes</span></div> |
| <section class="package-description" id="package-description"> |
| <div class="block">Package related to ML by means of the Naive Bayes algorithm.</div> |
| </section> |
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| <div class="table-header col-first">Package</div> |
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| <div class="col-first even-row-color"><a href="../package-summary.html">opennlp.tools.ml</a></div> |
| <div class="col-last even-row-color"> |
| <div class="block">Package related to Machine Learning (ML) features of OpenNLP, the related ML models, and trainers.</div> |
| </div> |
| <div class="col-first odd-row-color"><a href="../maxent/package-summary.html">opennlp.tools.ml.maxent</a></div> |
| <div class="col-last odd-row-color"> |
| <div class="block">Package related to ML by means of the Maximum Entropy (ME) algorithm.</div> |
| </div> |
| <div class="col-first even-row-color"><a href="../model/package-summary.html">opennlp.tools.ml.model</a></div> |
| <div class="col-last even-row-color"> |
| <div class="block">Package related to ML models and feature selection techniques.</div> |
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| <div class="col-first odd-row-color"><a href="../perceptron/package-summary.html">opennlp.tools.ml.perceptron</a></div> |
| <div class="col-last odd-row-color"> |
| <div class="block">Package related to ML by means of the perceptron algorithm.</div> |
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| <div class="caption"><span>Classes</span></div> |
| <div class="summary-table two-column-summary"> |
| <div class="table-header col-first">Class</div> |
| <div class="table-header col-last">Description</div> |
| <div class="col-first even-row-color class-summary class-summary-tab2"><a href="BinaryNaiveBayesModelReader.html" title="class in opennlp.tools.ml.naivebayes">BinaryNaiveBayesModelReader</a></div> |
| <div class="col-last even-row-color class-summary class-summary-tab2"> |
| <div class="block">A <a href="NaiveBayesModelReader.html" title="class in opennlp.tools.ml.naivebayes"><code>NaiveBayesModelReader</code></a> that reads models from a binary format.</div> |
| </div> |
| <div class="col-first odd-row-color class-summary class-summary-tab2"><a href="BinaryNaiveBayesModelWriter.html" title="class in opennlp.tools.ml.naivebayes">BinaryNaiveBayesModelWriter</a></div> |
| <div class="col-last odd-row-color class-summary class-summary-tab2"> |
| <div class="block">A <a href="NaiveBayesModelWriter.html" title="class in opennlp.tools.ml.naivebayes"><code>NaiveBayesModelWriter</code></a> that writes models in a binary format.</div> |
| </div> |
| <div class="col-first even-row-color class-summary class-summary-tab2"><a href="LogProbabilities.html" title="class in opennlp.tools.ml.naivebayes">LogProbabilities</a><T></div> |
| <div class="col-last even-row-color class-summary class-summary-tab2"> |
| <div class="block">Class implementing the probability distribution over labels returned by |
| a classifier as a log of probabilities.</div> |
| </div> |
| <div class="col-first odd-row-color class-summary class-summary-tab2"><a href="LogProbability.html" title="class in opennlp.tools.ml.naivebayes">LogProbability</a><T></div> |
| <div class="col-last odd-row-color class-summary class-summary-tab2"> |
| <div class="block">A class implementing the logarithmic <a href="Probability.html" title="class in opennlp.tools.ml.naivebayes"><code>Probability</code></a> for a label.</div> |
| </div> |
| <div class="col-first even-row-color class-summary class-summary-tab2"><a href="NaiveBayesEvalParameters.html" title="class in opennlp.tools.ml.naivebayes">NaiveBayesEvalParameters</a></div> |
| <div class="col-last even-row-color class-summary class-summary-tab2"> |
| <div class="block">Specialized <a href="../model/EvalParameters.html" title="class in opennlp.tools.ml.model"><code>parameters</code></a> for the evaluation of a naive bayes classifier</div> |
| </div> |
| <div class="col-first odd-row-color class-summary class-summary-tab2"><a href="NaiveBayesModel.html" title="class in opennlp.tools.ml.naivebayes">NaiveBayesModel</a></div> |
| <div class="col-last odd-row-color class-summary class-summary-tab2"> |
| <div class="block">A <a href="../model/MaxentModel.html" title="interface in opennlp.tools.ml.model"><code>MaxentModel</code></a> implementation of the multinomial Naive Bayes classifier model.</div> |
| </div> |
| <div class="col-first even-row-color class-summary class-summary-tab2"><a href="NaiveBayesModelReader.html" title="class in opennlp.tools.ml.naivebayes">NaiveBayesModelReader</a></div> |
| <div class="col-last even-row-color class-summary class-summary-tab2"> |
| <div class="block">The base class for readers of <a href="NaiveBayesModel.html" title="class in opennlp.tools.ml.naivebayes"><code>models</code></a>.</div> |
| </div> |
| <div class="col-first odd-row-color class-summary class-summary-tab2"><a href="NaiveBayesModelWriter.html" title="class in opennlp.tools.ml.naivebayes">NaiveBayesModelWriter</a></div> |
| <div class="col-last odd-row-color class-summary class-summary-tab2"> |
| <div class="block">The base class for <a href="NaiveBayesModel.html" title="class in opennlp.tools.ml.naivebayes"><code>NaiveBayesModel</code></a> writers.</div> |
| </div> |
| <div class="col-first even-row-color class-summary class-summary-tab2"><a href="NaiveBayesTrainer.html" title="class in opennlp.tools.ml.naivebayes">NaiveBayesTrainer</a></div> |
| <div class="col-last even-row-color class-summary class-summary-tab2"> |
| <div class="block">Trains <a href="NaiveBayesModel.html" title="class in opennlp.tools.ml.naivebayes"><code>models</code></a> using the combination of EM algorithm |
| and Naive Bayes classifier which is described in:</div> |
| </div> |
| <div class="col-first odd-row-color class-summary class-summary-tab2"><a href="PlainTextNaiveBayesModelReader.html" title="class in opennlp.tools.ml.naivebayes">PlainTextNaiveBayesModelReader</a></div> |
| <div class="col-last odd-row-color class-summary class-summary-tab2"> |
| <div class="block">A <a href="NaiveBayesModelReader.html" title="class in opennlp.tools.ml.naivebayes"><code>NaiveBayesModelReader</code></a> that reads models from a plain text format.</div> |
| </div> |
| <div class="col-first even-row-color class-summary class-summary-tab2"><a href="PlainTextNaiveBayesModelWriter.html" title="class in opennlp.tools.ml.naivebayes">PlainTextNaiveBayesModelWriter</a></div> |
| <div class="col-last even-row-color class-summary class-summary-tab2"> |
| <div class="block">A <a href="NaiveBayesModelWriter.html" title="class in opennlp.tools.ml.naivebayes"><code>NaiveBayesModelWriter</code></a> that writes models in a plain text format.</div> |
| </div> |
| <div class="col-first odd-row-color class-summary class-summary-tab2"><a href="Probabilities.html" title="class in opennlp.tools.ml.naivebayes">Probabilities</a><T></div> |
| <div class="col-last odd-row-color class-summary class-summary-tab2"> |
| <div class="block">Class implementing the probability distribution over labels returned by a classifier.</div> |
| </div> |
| <div class="col-first even-row-color class-summary class-summary-tab2"><a href="Probability.html" title="class in opennlp.tools.ml.naivebayes">Probability</a><T></div> |
| <div class="col-last even-row-color class-summary class-summary-tab2"> |
| <div class="block">Class implementing the probability for a label.</div> |
| </div> |
| </div> |
| </div> |
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