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<h1 title="Uses of Package org.apache.ignite.ml.inference" class="title">Uses of Package<br>org.apache.ignite.ml.inference</h1>
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<table class="useSummary" border="0" cellpadding="3" cellspacing="0" summary="Use table, listing packages, and an explanation">
<caption><span>Packages that use <a href="../../../../../org/apache/ignite/ml/inference/package-summary.html">org.apache.ignite.ml.inference</a></span><span class="tabEnd">&nbsp;</span></caption>
<tr>
<th class="colFirst" scope="col">Package</th>
<th class="colLast" scope="col">Description</th>
</tr>
<tbody>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml">org.apache.ignite.ml</a></td>
<td class="colLast">
<div class="block">Root ML package.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.catboost">org.apache.ignite.ml.catboost</a></td>
<td class="colLast">
<div class="block">Base package for XGBoost model parser, correspondent DTOs and util classes.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.clustering.gmm">org.apache.ignite.ml.clustering.gmm</a></td>
<td class="colLast">
<div class="block">Contains Gauss Mixture Model clustering algorithm (see <a href="../../../../../org/apache/ignite/ml/clustering/gmm/GmmModel.html" title="class in org.apache.ignite.ml.clustering.gmm"><code>GmmModel</code></a>).</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.clustering.kmeans">org.apache.ignite.ml.clustering.kmeans</a></td>
<td class="colLast">
<div class="block">Contains kMeans clustering algorithm.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.composition">org.apache.ignite.ml.composition</a></td>
<td class="colLast">
<div class="block">Contains classes for ensemble of models implementation.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.composition.bagging">org.apache.ignite.ml.composition.bagging</a></td>
<td class="colLast">&nbsp;</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.composition.boosting">org.apache.ignite.ml.composition.boosting</a></td>
<td class="colLast">
<div class="block">Contains Gradient Boosting regression and classification abstract classes
allowing regressor type selecting in child classes.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.composition.combinators.parallel">org.apache.ignite.ml.composition.combinators.parallel</a></td>
<td class="colLast">
<div class="block">Contains parallel combiners (ensembles) of trainers and models.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.composition.combinators.sequential">org.apache.ignite.ml.composition.combinators.sequential</a></td>
<td class="colLast">
<div class="block">Contains sequential combinators of trainers and models.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.composition.stacking">org.apache.ignite.ml.composition.stacking</a></td>
<td class="colLast">
<div class="block">Contains classes used for training with stacking technique.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.h2o">org.apache.ignite.ml.h2o</a></td>
<td class="colLast">
<div class="block">Base package for H2O MOJO model parser.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.inference">org.apache.ignite.ml.inference</a></td>
<td class="colLast">
<div class="block">Root package for model inference functionality.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.inference.builder">org.apache.ignite.ml.inference.builder</a></td>
<td class="colLast">
<div class="block">Root package for model inference builders.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.inference.parser">org.apache.ignite.ml.inference.parser</a></td>
<td class="colLast">
<div class="block">Root package for model inference parsers.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.inference.storage.descriptor">org.apache.ignite.ml.inference.storage.descriptor</a></td>
<td class="colLast">
<div class="block">Root package for inference model descriptor storages.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.knn">org.apache.ignite.ml.knn</a></td>
<td class="colLast">
<div class="block">Contains main APIs for kNN algorithms.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.knn.ann">org.apache.ignite.ml.knn.ann</a></td>
<td class="colLast">
<div class="block">Contains main APIs for ANN classification algorithms.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.knn.classification">org.apache.ignite.ml.knn.classification</a></td>
<td class="colLast">
<div class="block">Contains main APIs for kNN classification algorithms.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.knn.regression">org.apache.ignite.ml.knn.regression</a></td>
<td class="colLast">
<div class="block">Contains helper classes for kNN regression algorithms.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.multiclass">org.apache.ignite.ml.multiclass</a></td>
<td class="colLast">
<div class="block">Contains various multi-classifier models and trainers.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.naivebayes">org.apache.ignite.ml.naivebayes</a></td>
<td class="colLast">
<div class="block">Contains various naive Bayes classifiers.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.naivebayes.compound">org.apache.ignite.ml.naivebayes.compound</a></td>
<td class="colLast">
<div class="block">Contains Compound naive Bayes classifier.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.naivebayes.discrete">org.apache.ignite.ml.naivebayes.discrete</a></td>
<td class="colLast">
<div class="block">Contains Bernoulli naive Bayes classifier.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.naivebayes.gaussian">org.apache.ignite.ml.naivebayes.gaussian</a></td>
<td class="colLast">
<div class="block">Contains Gaussian naive Bayes classifier.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.nn">org.apache.ignite.ml.nn</a></td>
<td class="colLast">
<div class="block">Contains neural networks and related classes.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.optimization">org.apache.ignite.ml.optimization</a></td>
<td class="colLast">
<div class="block">Contains implementations of optimization algorithms and related classes.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.pipeline">org.apache.ignite.ml.pipeline</a></td>
<td class="colLast">
<div class="block">Contains Pipeline API.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.recommendation">org.apache.ignite.ml.recommendation</a></td>
<td class="colLast">
<div class="block">Contains recommendation system framework.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.regressions.linear">org.apache.ignite.ml.regressions.linear</a></td>
<td class="colLast">
<div class="block">Contains various linear regressions.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.regressions.logistic">org.apache.ignite.ml.regressions.logistic</a></td>
<td class="colLast">
<div class="block">Contains various logistic regressions.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.sparkmodelparser">org.apache.ignite.ml.sparkmodelparser</a></td>
<td class="colLast">
<div class="block">Base package for Spark model parser.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.svm">org.apache.ignite.ml.svm</a></td>
<td class="colLast">
<div class="block">Contains main APIs for SVM(support vector machines) algorithms.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.trainers">org.apache.ignite.ml.trainers</a></td>
<td class="colLast">
<div class="block">Contains model trainers.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.tree">org.apache.ignite.ml.tree</a></td>
<td class="colLast">
<div class="block">Root package for decision trees.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.tree.randomforest">org.apache.ignite.ml.tree.randomforest</a></td>
<td class="colLast">
<div class="block">Contains random forest implementation classes.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.tree.randomforest.data">org.apache.ignite.ml.tree.randomforest.data</a></td>
<td class="colLast">
<div class="block">Package contains helper data structures for random forest implementation.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="#org.apache.ignite.ml.xgboost">org.apache.ignite.ml.xgboost</a></td>
<td class="colLast">
<div class="block">Base package for XGBoost model parser, correspondent DTOs and util classes.</div>
</td>
</tr>
</tbody>
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<td class="colOne"><a href="../../../../../org/apache/ignite/ml/inference/class-use/Model.html#org.apache.ignite.ml">Model</a>
<div class="block">Inference model that can be used to make predictions.</div>
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