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 <h1 title="Uses of Package org.apache.ignite.ml.structures" class="title">Uses of Package<br>org.apache.ignite.ml.structures</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/structures/package-summary.html">org.apache.ignite.ml.structures</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.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.dataset.feature.extractor">org.apache.ignite.ml.dataset.feature.extractor</a></td>
 <td class="colLast">
 <div class="block">Package for upstream object vectorizations.</div>
 </td>
 </tr>
 <tr class="altColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.dataset.feature.extractor.impl">org.apache.ignite.ml.dataset.feature.extractor.impl</a></td>
 <td class="colLast">
 <div class="block">Package contains default implementations of <a href="../../../../../org/apache/ignite/ml/dataset/feature/extractor/Vectorizer.html" title="class in org.apache.ignite.ml.dataset.feature.extractor"><code>Vectorizer</code></a>.</div>
 </td>
 </tr>
 <tr class="rowColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.dataset.impl.bootstrapping">org.apache.ignite.ml.dataset.impl.bootstrapping</a></td>
 <td class="colLast">
 <div class="block">Base package for bootstrapped implementation of machine learning dataset.</div>
 </td>
 </tr>
 <tr class="altColor">
 <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="rowColor">
 <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="altColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.knn.utils">org.apache.ignite.ml.knn.utils</a></td>
 <td class="colLast">
 <div class="block">Contains util functionality for kNN algorithms.</div>
 </td>
 </tr>
 <tr class="rowColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.knn.utils.indices">org.apache.ignite.ml.knn.utils.indices</a></td>
 <td class="colLast">&nbsp;</td>
 </tr>
 <tr class="altColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.math.exceptions.preprocessing">org.apache.ignite.ml.math.exceptions.preprocessing</a></td>
 <td class="colLast">
 <div class="block">Contains exceptions for preprocessing.</div>
 </td>
 </tr>
 <tr class="rowColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.math.primitives.vector">org.apache.ignite.ml.math.primitives.vector</a></td>
 <td class="colLast">
 <div class="block">Contains vector related classes.</div>
 </td>
 </tr>
 <tr class="altColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.preprocessing">org.apache.ignite.ml.preprocessing</a></td>
 <td class="colLast">
 <div class="block">Base package for machine learning preprocessing classes.</div>
 </td>
 </tr>
 <tr class="rowColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.preprocessing.binarization">org.apache.ignite.ml.preprocessing.binarization</a></td>
 <td class="colLast">
 <div class="block">Contains binarization preprocessor.</div>
 </td>
 </tr>
 <tr class="altColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.preprocessing.developer">org.apache.ignite.ml.preprocessing.developer</a></td>
 <td class="colLast">
 <div class="block">Contains Developer API preprocessors.</div>
 </td>
 </tr>
 <tr class="rowColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.preprocessing.encoding.frequency">org.apache.ignite.ml.preprocessing.encoding.frequency</a></td>
 <td class="colLast">
 <div class="block">Contains frequency encoding preprocessor.</div>
 </td>
 </tr>
 <tr class="altColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.preprocessing.encoding.label">org.apache.ignite.ml.preprocessing.encoding.label</a></td>
 <td class="colLast">
 <div class="block">Contains label encoding preprocessor.</div>
 </td>
 </tr>
 <tr class="rowColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.preprocessing.encoding.onehotencoder">org.apache.ignite.ml.preprocessing.encoding.onehotencoder</a></td>
 <td class="colLast">
 <div class="block">Contains one hot encoding preprocessor.</div>
 </td>
 </tr>
 <tr class="altColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.preprocessing.encoding.stringencoder">org.apache.ignite.ml.preprocessing.encoding.stringencoder</a></td>
 <td class="colLast">
 <div class="block">Contains string encoding preprocessor.</div>
 </td>
 </tr>
 <tr class="rowColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.preprocessing.encoding.target">org.apache.ignite.ml.preprocessing.encoding.target</a></td>
 <td class="colLast">
 <div class="block">Contains frequency encoding preprocessor.</div>
 </td>
 </tr>
 <tr class="altColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.preprocessing.finalization">org.apache.ignite.ml.preprocessing.finalization</a></td>
 <td class="colLast">
 <div class="block">Contains vector finalization preprocessor.</div>
 </td>
 </tr>
 <tr class="rowColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.preprocessing.imputing">org.apache.ignite.ml.preprocessing.imputing</a></td>
 <td class="colLast">
 <div class="block">Contains Imputer preprocessor.</div>
 </td>
 </tr>
 <tr class="altColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.preprocessing.maxabsscaling">org.apache.ignite.ml.preprocessing.maxabsscaling</a></td>
 <td class="colLast">
 <div class="block">Contains Max Abs Scaler preprocessor.</div>
 </td>
 </tr>
 <tr class="rowColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.preprocessing.minmaxscaling">org.apache.ignite.ml.preprocessing.minmaxscaling</a></td>
 <td class="colLast">
 <div class="block">Contains Min Max Scaler preprocessor.</div>
 </td>
 </tr>
 <tr class="altColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.preprocessing.normalization">org.apache.ignite.ml.preprocessing.normalization</a></td>
 <td class="colLast">
 <div class="block">Contains Normalizer preprocessor.</div>
 </td>
 </tr>
 <tr class="rowColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.preprocessing.standardscaling">org.apache.ignite.ml.preprocessing.standardscaling</a></td>
 <td class="colLast">
 <div class="block">Contains Standard scaler preprocessor.</div>
 </td>
 </tr>
 <tr class="altColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.selection.scoring.evaluator.aggregator">org.apache.ignite.ml.selection.scoring.evaluator.aggregator</a></td>
 <td class="colLast">
 <div class="block">Package contains aggregators for metrics computation.</div>
 </td>
 </tr>
 <tr class="rowColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.selection.scoring.evaluator.context">org.apache.ignite.ml.selection.scoring.evaluator.context</a></td>
 <td class="colLast">
 <div class="block">Package for metric evaluation contexts.</div>
 </td>
 </tr>
 <tr class="altColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.structures">org.apache.ignite.ml.structures</a></td>
 <td class="colLast">
 <div class="block">Contains some internal utility structures.</div>
 </td>
 </tr>
 <tr class="rowColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.structures.partition">org.apache.ignite.ml.structures.partition</a></td>
 <td class="colLast">
 <div class="block">Contains internal APIs for dataset partitioned labeled datasets.</div>
 </td>
 </tr>
 <tr class="altColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.structures.preprocessing">org.apache.ignite.ml.structures.preprocessing</a></td>
 <td class="colLast">
 <div class="block">Contains internal APIs for dataset pre-processing.</div>
 </td>
 </tr>
 <tr class="rowColor">
 <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="altColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.util.generators">org.apache.ignite.ml.util.generators</a></td>
 <td class="colLast">
 <div class="block">Contains utility classes for data streams generation.</div>
 </td>
 </tr>
 <tr class="rowColor">
 <td class="colFirst"><a href="#org.apache.ignite.ml.util.generators.standard">org.apache.ignite.ml.util.generators.standard</a></td>
 <td class="colLast">
 <div class="block">Contains classes for predefined data stream generators.</div>
 </td>
 </tr>
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 <th class="colOne" scope="col">Class and Description</th>
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 <td class="colOne"><a href="../../../../../org/apache/ignite/ml/structures/class-use/LabeledVector.html#org.apache.ignite.ml.composition.combinators.sequential">LabeledVector</a>
 <div class="block">Class for vector with label.</div>
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 <td class="colOne"><a href="../../../../../org/apache/ignite/ml/structures/class-use/LabeledVector.html#org.apache.ignite.ml.dataset.feature.extractor">LabeledVector</a>
 <div class="block">Class for vector with label.</div>
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 <td class="colOne"><a href="../../../../../org/apache/ignite/ml/structures/class-use/LabeledVector.html#org.apache.ignite.ml.dataset.feature.extractor.impl">LabeledVector</a>
 <div class="block">Class for vector with label.</div>
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 <td class="colOne"><a href="../../../../../org/apache/ignite/ml/structures/class-use/DatasetRow.html#org.apache.ignite.ml.dataset.impl.bootstrapping">DatasetRow</a>
 <div class="block">Class to keep one observation in dataset.</div>
 </td>
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 <tr class="rowColor">
 <td class="colOne"><a href="../../../../../org/apache/ignite/ml/structures/class-use/LabeledVector.html#org.apache.ignite.ml.dataset.impl.bootstrapping">LabeledVector</a>
 <div class="block">Class for vector with label.</div>
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 <td class="colOne"><a href="../../../../../org/apache/ignite/ml/structures/class-use/LabeledVector.html#org.apache.ignite.ml.knn">LabeledVector</a>
 <div class="block">Class for vector with label.</div>
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 <td class="colOne"><a href="../../../../../org/apache/ignite/ml/structures/class-use/LabeledVectorSet.html#org.apache.ignite.ml.knn">LabeledVectorSet</a>
 <div class="block">The set of labeled vectors used in local partition calculations.</div>
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 <td class="colOne"><a href="../../../../../org/apache/ignite/ml/structures/class-use/LabeledVector.html#org.apache.ignite.ml.knn.ann">LabeledVector</a>
 <div class="block">Class for vector with label.</div>
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 <td class="colOne"><a href="../../../../../org/apache/ignite/ml/structures/class-use/LabeledVectorSet.html#org.apache.ignite.ml.knn.ann">LabeledVectorSet</a>
 <div class="block">The set of labeled vectors used in local partition calculations.</div>
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 <td class="colOne"><a href="../../../../../org/apache/ignite/ml/structures/class-use/LabeledVector.html#org.apache.ignite.ml.knn.utils">LabeledVector</a>
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