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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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| <div class="contentContainer"> |
| <ul class="blockList"> |
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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.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="rowColor"> |
| <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="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.bagging">org.apache.ignite.ml.composition.bagging</a></td> |
| <td class="colLast"> </td> |
| </tr> |
| <tr class="rowColor"> |
| <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="altColor"> |
| <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 convergence checking algorithms for gradient boosting.</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.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="rowColor"> |
| <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="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.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.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.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.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"> </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.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.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="altColor"> |
| <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="rowColor"> |
| <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="altColor"> |
| <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="rowColor"> |
| <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="altColor"> |
| <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="rowColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.math.stat">org.apache.ignite.ml.math.stat</a></td> |
| <td class="colLast"> |
| <div class="block">Contains utility classes for distributions.</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.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.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="rowColor"> |
| <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="altColor"> |
| <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="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.imputing">org.apache.ignite.ml.preprocessing.imputing</a></td> |
| <td class="colLast"> |
| <div class="block">Contains Imputer preprocessor.</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.recommendation.util">org.apache.ignite.ml.recommendation.util</a></td> |
| <td class="colLast"> |
| <div class="block">Contains util classes used in recommendation system framework.</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">org.apache.ignite.ml.regressions.logistic</a></td> |
| <td class="colLast"> |
| <div class="block">Contains various logistic regressions.</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <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="altColor"> |
| <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="rowColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.selection.scoring.evaluator">org.apache.ignite.ml.selection.scoring.evaluator</a></td> |
| <td class="colLast"> |
| <div class="block">Package for model evaluator classes.</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.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.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="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.tree">org.apache.ignite.ml.tree</a></td> |
| <td class="colLast"> |
| <div class="block">Root package for decision trees.</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <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="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.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.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.primitives.scalar">org.apache.ignite.ml.util.generators.primitives.scalar</a></td> |
| <td class="colLast"> |
| <div class="block">Contains generators of pseudo-random scalars in according to specific distribution.</div> |
| </td> |
| </tr> |
| <tr class="altColor"> |
| <td class="colFirst"><a href="#org.apache.ignite.ml.util.generators.primitives.vector">org.apache.ignite.ml.util.generators.primitives.vector</a></td> |
| <td class="colLast"> |
| <div class="block">Contains generators of pseudo-random vectors in according to specific distribution.</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> |
| <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> |
| </table> |
| </li> |
| <li class="blockList"><a name="org.apache.ignite.ml.catboost"> |
| <!-- --> |
| </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/catboost/package-summary.html">org.apache.ignite.ml.catboost</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/NamedVector.html#org.apache.ignite.ml.catboost">NamedVector</a> |
| <div class="block">A named vector interface based on <a href="../../../../../../../org/apache/ignite/ml/math/primitives/vector/Vector.html" title="interface in org.apache.ignite.ml.math.primitives.vector"><code>Vector</code></a>.</div> |
| </td> |
| </tr> |
| </tbody> |
| </table> |
| </li> |
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