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| <div id="comment" class="fullcommenttop"><div class="comment cmt"><p>Collection of engine libraries that have no dependency on PredictionIO</p></div><div class="toggleContainer block"> |
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| <p class="shortcomment cmt">Model for naive Bayes classifiers with categorical variables.</p><div class="fullcomment"><div class="comment cmt"><p>Model for naive Bayes classifiers with categorical variables. |
| </p></div><dl class="paramcmts block"><dt class="param">priors</dt><dd class="cmt"><p>log prior probabilities</p></dd><dt class="param">likelihoods</dt><dd class="cmt"><p>log likelihood probabilities</p></dd></dl></div> |
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| <p class="shortcomment cmt">Class that represents the features and labels of a data point.</p><div class="fullcomment"><div class="comment cmt"><p>Class that represents the features and labels of a data point. |
| </p></div><dl class="paramcmts block"><dt class="param">label</dt><dd class="cmt"><p>Label of this data point</p></dd><dt class="param">features</dt><dd class="cmt"><p>Features of this data point</p></dd></dl></div> |
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| <p class="shortcomment cmt">Markov Chain model |
| </p><div class="fullcomment"><div class="comment cmt"><p>Markov Chain model |
| </p></div><dl class="paramcmts block"><dt class="param">transitionVectors</dt><dd class="cmt"><p>transition vectors</p></dd><dt class="param">n</dt><dd class="cmt"><p>top N used to construct the model</p></dd></dl></div> |
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| <p class="shortcomment cmt">Class for training a naive Bayes model with categorical variables</p> |
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| <p class="shortcomment cmt">Class for training a Markov Chain model</p> |
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| <div id="tooltip"></div> |
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| <div id="footer"> </div> |
| |
| |
| </body> |
| </html> |
