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| <h1 title="Uses of Package org.apache.ignite.ml.math.primitives.vector" class="title">Uses of Package<br>org.apache.ignite.ml.math.primitives.vector</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/math/primitives/vector/package-summary.html">org.apache.ignite.ml.math.primitives.vector</a></span><span class="tabEnd"> </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.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="rowColor"> |
| <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="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.boosting.convergence">org.apache.ignite.ml.composition.boosting.convergence</a></td> |
| <td class="colLast"> |
| <div class="block">Package contains implementation of convergency checking algorithms for gradient boosting.</div> |
| </td> |
| </tr> |
| <tr class="altColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.composition.boosting.convergence.mean">org.apache.ignite.ml.composition.boosting.convergence.mean</a></td> |
| <td class="colLast"> |
| <div class="block">Contains implementation of convergence checking computer by mean of absolute value of errors in dataset.</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.composition.boosting.convergence.median">org.apache.ignite.ml.composition.boosting.convergence.median</a></td> |
| <td class="colLast"> |
| <div class="block">Contains implementation of convergence checking computer by median of medians of errors in dataset.</div> |
| </td> |
| </tr> |
| <tr class="altColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.composition.boosting.convergence.simple">org.apache.ignite.ml.composition.boosting.convergence.simple</a></td> |
| <td class="colLast"> |
| <div class="block">Contains implementation of Stub for convergence checking.</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.dataset">org.apache.ignite.ml.dataset</a></td> |
| <td class="colLast"> |
| <div class="block">Base package for machine learning dataset classes.</div> |
| </td> |
| </tr> |
| <tr class="altColor"> |
| <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="rowColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.dataset.primitive">org.apache.ignite.ml.dataset.primitive</a></td> |
| <td class="colLast"> |
| <div class="block">Package that contains basic primitives build on top of <a href="../../../../../../../org/apache/ignite/ml/dataset/Dataset.html" title="interface in org.apache.ignite.ml.dataset"><code>Dataset</code></a>.</div> |
| </td> |
| </tr> |
| <tr class="altColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.dataset.primitive.builder.data">org.apache.ignite.ml.dataset.primitive.builder.data</a></td> |
| <td class="colLast"> |
| <div class="block">Contains partition <code>data</code> builders.</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.environment.logging">org.apache.ignite.ml.environment.logging</a></td> |
| <td class="colLast"> |
| <div class="block">Package contains several logging strategy realisations.</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.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="rowColor"> |
| <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="altColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.math">org.apache.ignite.ml.math</a></td> |
| <td class="colLast"> |
| <div class="block">Contains main APIs for matrix/vector algebra.</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.math.distances">org.apache.ignite.ml.math.distances</a></td> |
| <td class="colLast"> |
| <div class="block">Contains main APIs for distances.</div> |
| </td> |
| </tr> |
| <tr class="altColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.math.functions">org.apache.ignite.ml.math.functions</a></td> |
| <td class="colLast"> |
| <div class="block">Contains serializable functions for distributed code algebra.</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.math.primitives.matrix">org.apache.ignite.ml.math.primitives.matrix</a></td> |
| <td class="colLast"> |
| <div class="block">Contains matrix related classes.</div> |
| </td> |
| </tr> |
| <tr class="altColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.math.primitives.matrix.impl">org.apache.ignite.ml.math.primitives.matrix.impl</a></td> |
| <td class="colLast"> |
| <div class="block">Contains several matrix implementations.</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.math.primitives.vector.impl">org.apache.ignite.ml.math.primitives.vector.impl</a></td> |
| <td class="colLast"> |
| <div class="block">Contains several vector implementations.</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.math.primitives.vector.storage">org.apache.ignite.ml.math.primitives.vector.storage</a></td> |
| <td class="colLast"> |
| <div class="block">Contains several vector storages.</div> |
| </td> |
| </tr> |
| <tr class="altColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.math.util">org.apache.ignite.ml.math.util</a></td> |
| <td class="colLast"> |
| <div class="block">Some math utils.</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <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="altColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.nn.initializers">org.apache.ignite.ml.nn.initializers</a></td> |
| <td class="colLast"> |
| <div class="block">Contains multilayer perceptron parameters initializers.</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.optimization.updatecalculators">org.apache.ignite.ml.optimization.updatecalculators</a></td> |
| <td class="colLast"> |
| <div class="block">Contains update calculators.</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <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="altColor"> |
| <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="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.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.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="altColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.regressions.logistic.binomial">org.apache.ignite.ml.regressions.logistic.binomial</a></td> |
| <td class="colLast"> |
| <div class="block">Contains binomial logistic regression.</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.regressions.logistic.multiclass">org.apache.ignite.ml.regressions.logistic.multiclass</a></td> |
| <td class="colLast"> |
| <div class="block">Contains multi-class logistic regression.</div> |
| </td> |
| </tr> |
| <tr class="altColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.selection.cv">org.apache.ignite.ml.selection.cv</a></td> |
| <td class="colLast"> |
| <div class="block">Root package for cross-validation algorithms.</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.selection.scoring.cursor">org.apache.ignite.ml.selection.scoring.cursor</a></td> |
| <td class="colLast"> |
| <div class="block">Util classes used for score calculation.</div> |
| </td> |
| </tr> |
| <tr class="altColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.selection.scoring.evaluator">org.apache.ignite.ml.selection.scoring.evaluator</a></td> |
| <td class="colLast"> </td> |
| </tr> |
| <tr class="rowColor"> |
| <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="altColor"> |
| <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="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.boosting">org.apache.ignite.ml.tree.boosting</a></td> |
| <td class="colLast"> |
| <div class="block">Contains implementation of gradient boosting on trees.</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.tree.data">org.apache.ignite.ml.tree.data</a></td> |
| <td class="colLast"> |
| <div class="block">Contains data and data builder required for decision tree trainers built on top of partition based dataset.</div> |
| </td> |
| </tr> |
| <tr class="altColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.tree.impurity">org.apache.ignite.ml.tree.impurity</a></td> |
| <td class="colLast"> |
| <div class="block">Root package for decision tree impurity measures and calculators.</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <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="altColor"> |
| <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> |
| </tbody> |
| </table> |
| </li> |
| <li class="blockList"><a name="org.apache.ignite.ml.clustering.kmeans"> |
| <!-- --> |
| </a> |
| <table class="useSummary" border="0" cellpadding="3" cellspacing="0" summary="Use table, listing classes, and an explanation"> |
| <caption><span>Classes in <a href="../../../../../../../org/apache/ignite/ml/math/primitives/vector/package-summary.html">org.apache.ignite.ml.math.primitives.vector</a> used by <a href="../../../../../../../org/apache/ignite/ml/clustering/kmeans/package-summary.html">org.apache.ignite.ml.clustering.kmeans</a></span><span class="tabEnd"> </span></caption> |
| <tr> |
| <th class="colOne" scope="col">Class and Description</th> |
| </tr> |
| <tbody> |
| <tr class="altColor"> |
| <td class="colOne"><a href="../../../../../../../org/apache/ignite/ml/math/primitives/vector/class-use/Vector.html#org.apache.ignite.ml.clustering.kmeans">Vector</a> |
| <div class="block">A vector interface.</div> |
| </td> |
| </tr> |
| </tbody> |
| </table> |
| </li> |
| <li class="blockList"><a name="org.apache.ignite.ml.composition"> |
| <!-- --> |
| </a> |
| <table class="useSummary" border="0" cellpadding="3" cellspacing="0" summary="Use table, listing classes, and an explanation"> |
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