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| <div class="subTitle">org.apache.ignite.ml.regressions.linear</div> |
| <h2 title="Class LinearRegressionSGDTrainer" class="title">Class LinearRegressionSGDTrainer<span class='angle_bracket'><</span>P extends <a href="https://docs.oracle.com/javase/8/docs/api/java/io/Serializable.html?is-external=true" title="class or interface in java.io">Serializable</a><span class='angle_bracket'>></span></h2> |
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| <li><a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html" title="class in org.apache.ignite.ml.trainers">org.apache.ignite.ml.trainers.DatasetTrainer</a><span class='angle_bracket'><</span>M,<a href="https://docs.oracle.com/javase/8/docs/api/java/lang/Double.html?is-external=true" title="class or interface in java.lang">Double</a><span class='angle_bracket'>></span></li> |
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| <li><a href="../../../../../../org/apache/ignite/ml/trainers/SingleLabelDatasetTrainer.html" title="class in org.apache.ignite.ml.trainers">org.apache.ignite.ml.trainers.SingleLabelDatasetTrainer</a><span class='angle_bracket'><</span><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionModel.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionModel</a><span class='angle_bracket'>></span></li> |
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| <li>org.apache.ignite.ml.regressions.linear.LinearRegressionSGDTrainer<span class='angle_bracket'><</span>P<span class='angle_bracket'>></span></li> |
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| <pre>public class <span class="typeNameLabel">LinearRegressionSGDTrainer<span class='angle_bracket'><</span>P extends <a href="https://docs.oracle.com/javase/8/docs/api/java/io/Serializable.html?is-external=true" title="class or interface in java.io">Serializable</a><span class='angle_bracket'>></span></span> |
| extends <a href="../../../../../../org/apache/ignite/ml/trainers/SingleLabelDatasetTrainer.html" title="class in org.apache.ignite.ml.trainers">SingleLabelDatasetTrainer</a><span class='angle_bracket'><</span><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionModel.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionModel</a><span class='angle_bracket'>></span></pre> |
| <div class="block">Trainer of the linear regression model based on stochastic gradient descent algorithm.</div> |
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| <code><a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.EmptyDatasetException.html" title="class in org.apache.ignite.ml.trainers">DatasetTrainer.EmptyDatasetException</a></code></li> |
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| <code><a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#envBuilder">envBuilder</a>, <a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#environment">environment</a></code></li> |
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| <caption><span>Constructors</span><span class="tabEnd"> </span></caption> |
| <tr> |
| <th class="colOne" scope="col">Constructor and Description</th> |
| </tr> |
| <tr class="altColor"> |
| <td class="colOne"><code><span class="memberNameLink"><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html#LinearRegressionSGDTrainer-org.apache.ignite.ml.nn.UpdatesStrategy-">LinearRegressionSGDTrainer</a></span>(<a href="../../../../../../org/apache/ignite/ml/nn/UpdatesStrategy.html" title="class in org.apache.ignite.ml.nn">UpdatesStrategy</a><span class='angle_bracket'><</span>? super <a href="../../../../../../org/apache/ignite/ml/nn/MultilayerPerceptron.html" title="class in org.apache.ignite.ml.nn">MultilayerPerceptron</a>,<a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="type parameter in LinearRegressionSGDTrainer">P</a><span class='angle_bracket'>></span> updatesStgy)</code> |
| <div class="block">Constructs a new instance of linear regression SGD trainer.</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <td class="colOne"><code><span class="memberNameLink"><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html#LinearRegressionSGDTrainer-org.apache.ignite.ml.nn.UpdatesStrategy-int-int-int-long-">LinearRegressionSGDTrainer</a></span>(<a href="../../../../../../org/apache/ignite/ml/nn/UpdatesStrategy.html" title="class in org.apache.ignite.ml.nn">UpdatesStrategy</a><span class='angle_bracket'><</span>? super <a href="../../../../../../org/apache/ignite/ml/nn/MultilayerPerceptron.html" title="class in org.apache.ignite.ml.nn">MultilayerPerceptron</a>,<a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="type parameter in LinearRegressionSGDTrainer">P</a><span class='angle_bracket'>></span> updatesStgy, |
| int maxIterations, |
| int batchSize, |
| int locIterations, |
| long seed)</code> |
| <div class="block">Constructs a new instance of linear regression SGD trainer.</div> |
| </td> |
| </tr> |
| </table> |
| </li> |
| </ul> |
| <!-- ========== METHOD SUMMARY =========== --> |
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| <h3>Method Summary</h3> |
| <table class="memberSummary" border="0" cellpadding="3" cellspacing="0" summary="Method Summary table, listing methods, and an explanation"> |
| <caption><span id="t0" class="activeTableTab"><span>All Methods</span><span class="tabEnd"> </span></span><span id="t2" class="tableTab"><span><a href="javascript:show(2);">Instance Methods</a></span><span class="tabEnd"> </span></span><span id="t4" class="tableTab"><span><a href="javascript:show(8);">Concrete Methods</a></span><span class="tabEnd"> </span></span></caption> |
| <tr> |
| <th class="colFirst" scope="col">Modifier and Type</th> |
| <th class="colLast" scope="col">Method and Description</th> |
| </tr> |
| <tr id="i0" class="altColor"> |
| <td class="colFirst"><code><span class='angle_bracket'><</span>K,V<span class='angle_bracket'>></span> <a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionModel.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionModel</a></code></td> |
| <td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html#fitWithInitializedDeployingContext-org.apache.ignite.ml.dataset.DatasetBuilder-org.apache.ignite.ml.preprocessing.Preprocessor-">fitWithInitializedDeployingContext</a></span>(<a href="../../../../../../org/apache/ignite/ml/dataset/DatasetBuilder.html" title="interface in org.apache.ignite.ml.dataset">DatasetBuilder</a><span class='angle_bracket'><</span>K,V<span class='angle_bracket'>></span> datasetBuilder, |
| <a href="../../../../../../org/apache/ignite/ml/preprocessing/Preprocessor.html" title="interface in org.apache.ignite.ml.preprocessing">Preprocessor</a><span class='angle_bracket'><</span>K,V<span class='angle_bracket'>></span> extractor)</code> |
| <div class="block">Trains model based on the specified data.</div> |
| </td> |
| </tr> |
| <tr id="i1" class="rowColor"> |
| <td class="colFirst"><code>int</code></td> |
| <td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html#getBatchSize--">getBatchSize</a></span>()</code> |
| <div class="block">Get the batch size.</div> |
| </td> |
| </tr> |
| <tr id="i2" class="altColor"> |
| <td class="colFirst"><code>int</code></td> |
| <td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html#getLocIterations--">getLocIterations</a></span>()</code> |
| <div class="block">Get the amount of local iterations.</div> |
| </td> |
| </tr> |
| <tr id="i3" class="rowColor"> |
| <td class="colFirst"><code>int</code></td> |
| <td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html#getMaxIterations--">getMaxIterations</a></span>()</code> |
| <div class="block">Get the max amount of iterations.</div> |
| </td> |
| </tr> |
| <tr id="i4" class="altColor"> |
| <td class="colFirst"><code>long</code></td> |
| <td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html#getSeed--">getSeed</a></span>()</code> |
| <div class="block">Get the seed for random generator.</div> |
| </td> |
| </tr> |
| <tr id="i5" class="rowColor"> |
| <td class="colFirst"><code><a href="../../../../../../org/apache/ignite/ml/nn/UpdatesStrategy.html" title="class in org.apache.ignite.ml.nn">UpdatesStrategy</a><span class='angle_bracket'><</span>? super <a href="../../../../../../org/apache/ignite/ml/nn/MultilayerPerceptron.html" title="class in org.apache.ignite.ml.nn">MultilayerPerceptron</a>,<a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="type parameter in LinearRegressionSGDTrainer">P</a><span class='angle_bracket'>></span></code></td> |
| <td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html#getUpdatesStgy--">getUpdatesStgy</a></span>()</code> |
| <div class="block">Get the update strategy.</div> |
| </td> |
| </tr> |
| <tr id="i6" class="altColor"> |
| <td class="colFirst"><code>boolean</code></td> |
| <td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html#isUpdateable-org.apache.ignite.ml.regressions.linear.LinearRegressionModel-">isUpdateable</a></span>(<a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionModel.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionModel</a> mdl)</code></td> |
| </tr> |
| <tr id="i7" class="rowColor"> |
| <td class="colFirst"><code>protected <span class='angle_bracket'><</span>K,V<span class='angle_bracket'>></span> <a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionModel.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionModel</a></code></td> |
| <td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html#updateModel-org.apache.ignite.ml.regressions.linear.LinearRegressionModel-org.apache.ignite.ml.dataset.DatasetBuilder-org.apache.ignite.ml.preprocessing.Preprocessor-">updateModel</a></span>(<a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionModel.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionModel</a> mdl, |
| <a href="../../../../../../org/apache/ignite/ml/dataset/DatasetBuilder.html" title="interface in org.apache.ignite.ml.dataset">DatasetBuilder</a><span class='angle_bracket'><</span>K,V<span class='angle_bracket'>></span> datasetBuilder, |
| <a href="../../../../../../org/apache/ignite/ml/preprocessing/Preprocessor.html" title="interface in org.apache.ignite.ml.preprocessing">Preprocessor</a><span class='angle_bracket'><</span>K,V<span class='angle_bracket'>></span> extractor)</code> |
| <div class="block">Gets state of model in arguments, update in according to new data and return new model.</div> |
| </td> |
| </tr> |
| <tr id="i8" class="altColor"> |
| <td class="colFirst"><code><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionSGDTrainer</a><span class='angle_bracket'><</span><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="type parameter in LinearRegressionSGDTrainer">P</a><span class='angle_bracket'>></span></code></td> |
| <td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html#withBatchSize-int-">withBatchSize</a></span>(int batchSize)</code> |
| <div class="block">Set up the batchSize parameter.</div> |
| </td> |
| </tr> |
| <tr id="i9" class="rowColor"> |
| <td class="colFirst"><code><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionSGDTrainer</a><span class='angle_bracket'><</span><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="type parameter in LinearRegressionSGDTrainer">P</a><span class='angle_bracket'>></span></code></td> |
| <td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html#withLocIterations-int-">withLocIterations</a></span>(int amountOfLocIterations)</code> |
| <div class="block">Set up the amount of local iterations of SGD algorithm.</div> |
| </td> |
| </tr> |
| <tr id="i10" class="altColor"> |
| <td class="colFirst"><code><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionSGDTrainer</a><span class='angle_bracket'><</span><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="type parameter in LinearRegressionSGDTrainer">P</a><span class='angle_bracket'>></span></code></td> |
| <td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html#withMaxIterations-int-">withMaxIterations</a></span>(int maxIterations)</code> |
| <div class="block">Set up the max amount of iterations before convergence.</div> |
| </td> |
| </tr> |
| <tr id="i11" class="rowColor"> |
| <td class="colFirst"><code><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionSGDTrainer</a><span class='angle_bracket'><</span><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="type parameter in LinearRegressionSGDTrainer">P</a><span class='angle_bracket'>></span></code></td> |
| <td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html#withSeed-long-">withSeed</a></span>(long seed)</code> |
| <div class="block">Set up the random seed parameter.</div> |
| </td> |
| </tr> |
| </table> |
| <ul class="blockList"> |
| <li class="blockList"><a name="methods.inherited.from.class.org.apache.ignite.ml.trainers.DatasetTrainer"> |
| <!-- --> |
| </a> |
| <h3>Methods inherited from class org.apache.ignite.ml.trainers.<a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html" title="class in org.apache.ignite.ml.trainers">DatasetTrainer</a></h3> |
| <code><a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#fit-org.apache.ignite.ml.dataset.DatasetBuilder-org.apache.ignite.ml.preprocessing.Preprocessor-">fit</a>, <a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#fit-org.apache.ignite.ml.dataset.DatasetBuilder-org.apache.ignite.ml.preprocessing.Preprocessor-org.apache.ignite.ml.environment.LearningEnvironment-">fit</a>, <a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#fit-org.apache.ignite.Ignite-org.apache.ignite.IgniteCache-org.apache.ignite.lang.IgniteBiPredicate-org.apache.ignite.ml.preprocessing.Preprocessor-">fit</a>, <a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#fit-org.apache.ignite.Ignite-org.apache.ignite.IgniteCache-org.apache.ignite.ml.preprocessing.Preprocessor-">fit</a>, <a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#fit-java.util.Map-org.apache.ignite.lang.IgniteBiPredicate-int-org.apache.ignite.ml.preprocessing.Preprocessor-">fit</a>, <a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#fit-java.util.Map-int-org.apache.ignite.ml.preprocessing.Preprocessor-">fit</a>, <a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#getLastTrainedModelOrThrowEmptyDatasetException-M-">getLastTrainedModelOrThrowEmptyDatasetException</a>, <a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#identityTrainer--">identityTrainer</a>, <a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#learningEnvironment--">learningEnvironment</a>, <a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#update-M-org.apache.ignite.ml.dataset.DatasetBuilder-org.apache.ignite.ml.preprocessing.Preprocessor-">update</a>, <a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#update-M-org.apache.ignite.Ignite-org.apache.ignite.IgniteCache-org.apache.ignite.lang.IgniteBiPredicate-org.apache.ignite.ml.preprocessing.Preprocessor-">update</a>, <a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#update-M-org.apache.ignite.Ignite-org.apache.ignite.IgniteCache-org.apache.ignite.ml.preprocessing.Preprocessor-">update</a>, <a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#update-M-java.util.Map-org.apache.ignite.lang.IgniteBiPredicate-int-org.apache.ignite.ml.preprocessing.Preprocessor-">update</a>, <a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#update-M-java.util.Map-int-org.apache.ignite.ml.preprocessing.Preprocessor-">update</a>, <a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#withConvertedLabels-org.apache.ignite.ml.math.functions.IgniteFunction-">withConvertedLabels</a>, <a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#withEnvironmentBuilder-org.apache.ignite.ml.environment.LearningEnvironmentBuilder-">withEnvironmentBuilder</a></code></li> |
| </ul> |
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| <h3>Methods inherited from class java.lang.<a href="https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html?is-external=true" title="class or interface in java.lang">Object</a></h3> |
| <code><a href="https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html?is-external=true#clone--" title="class or interface in java.lang">clone</a>, <a href="https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html?is-external=true#equals-java.lang.Object-" title="class or interface in java.lang">equals</a>, <a href="https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html?is-external=true#finalize--" title="class or interface in java.lang">finalize</a>, <a href="https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html?is-external=true#getClass--" title="class or interface in java.lang">getClass</a>, <a href="https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html?is-external=true#hashCode--" title="class or interface in java.lang">hashCode</a>, <a href="https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html?is-external=true#notify--" title="class or interface in java.lang">notify</a>, <a href="https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html?is-external=true#notifyAll--" title="class or interface in java.lang">notifyAll</a>, <a href="https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html?is-external=true#toString--" title="class or interface in java.lang">toString</a>, <a href="https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html?is-external=true#wait--" title="class or interface in java.lang">wait</a>, <a href="https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html?is-external=true#wait-long-" title="class or interface in java.lang">wait</a>, <a href="https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html?is-external=true#wait-long-int-" title="class or interface in java.lang">wait</a></code></li> |
| </ul> |
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| <!-- ========= CONSTRUCTOR DETAIL ======== --> |
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| <h3>Constructor Detail</h3> |
| <a name="LinearRegressionSGDTrainer-org.apache.ignite.ml.nn.UpdatesStrategy-int-int-int-long-"> |
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| </a> |
| <ul class="blockList"> |
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| <h4>LinearRegressionSGDTrainer</h4> |
| <pre>public LinearRegressionSGDTrainer(<a href="../../../../../../org/apache/ignite/ml/nn/UpdatesStrategy.html" title="class in org.apache.ignite.ml.nn">UpdatesStrategy</a><span class='angle_bracket'><</span>? super <a href="../../../../../../org/apache/ignite/ml/nn/MultilayerPerceptron.html" title="class in org.apache.ignite.ml.nn">MultilayerPerceptron</a>,<a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="type parameter in LinearRegressionSGDTrainer">P</a><span class='angle_bracket'>></span> updatesStgy, |
| int maxIterations, |
| int batchSize, |
| int locIterations, |
| long seed)</pre> |
| <div class="block">Constructs a new instance of linear regression SGD trainer.</div> |
| <dl> |
| <dt><span class="paramLabel">Parameters:</span></dt> |
| <dd><code>updatesStgy</code> - Update strategy.</dd> |
| <dd><code>maxIterations</code> - Max number of iteration.</dd> |
| <dd><code>batchSize</code> - Batch size.</dd> |
| <dd><code>locIterations</code> - Number of local iterations.</dd> |
| <dd><code>seed</code> - Seed for random generator.</dd> |
| </dl> |
| </li> |
| </ul> |
| <a name="LinearRegressionSGDTrainer-org.apache.ignite.ml.nn.UpdatesStrategy-"> |
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| <h4>LinearRegressionSGDTrainer</h4> |
| <pre>public LinearRegressionSGDTrainer(<a href="../../../../../../org/apache/ignite/ml/nn/UpdatesStrategy.html" title="class in org.apache.ignite.ml.nn">UpdatesStrategy</a><span class='angle_bracket'><</span>? super <a href="../../../../../../org/apache/ignite/ml/nn/MultilayerPerceptron.html" title="class in org.apache.ignite.ml.nn">MultilayerPerceptron</a>,<a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="type parameter in LinearRegressionSGDTrainer">P</a><span class='angle_bracket'>></span> updatesStgy)</pre> |
| <div class="block">Constructs a new instance of linear regression SGD trainer.</div> |
| </li> |
| </ul> |
| </li> |
| </ul> |
| <!-- ============ METHOD DETAIL ========== --> |
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| <h3>Method Detail</h3> |
| <a name="fitWithInitializedDeployingContext-org.apache.ignite.ml.dataset.DatasetBuilder-org.apache.ignite.ml.preprocessing.Preprocessor-"> |
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| </a> |
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| <h4>fitWithInitializedDeployingContext</h4> |
| <pre>public <span class='angle_bracket'><</span>K,V<span class='angle_bracket'>></span> <a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionModel.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionModel</a> fitWithInitializedDeployingContext(<a href="../../../../../../org/apache/ignite/ml/dataset/DatasetBuilder.html" title="interface in org.apache.ignite.ml.dataset">DatasetBuilder</a><span class='angle_bracket'><</span>K,V<span class='angle_bracket'>></span> datasetBuilder, |
| <a href="../../../../../../org/apache/ignite/ml/preprocessing/Preprocessor.html" title="interface in org.apache.ignite.ml.preprocessing">Preprocessor</a><span class='angle_bracket'><</span>K,V<span class='angle_bracket'>></span> extractor)</pre> |
| <div class="block">Trains model based on the specified data.</div> |
| <dl> |
| <dt><span class="overrideSpecifyLabel">Specified by:</span></dt> |
| <dd><code><a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#fitWithInitializedDeployingContext-org.apache.ignite.ml.dataset.DatasetBuilder-org.apache.ignite.ml.preprocessing.Preprocessor-">fitWithInitializedDeployingContext</a></code> in class <code><a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html" title="class in org.apache.ignite.ml.trainers">DatasetTrainer</a><span class='angle_bracket'><</span><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionModel.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionModel</a>,<a href="https://docs.oracle.com/javase/8/docs/api/java/lang/Double.html?is-external=true" title="class or interface in java.lang">Double</a><span class='angle_bracket'>></span></code></dd> |
| <dt><span class="paramLabel">Type Parameters:</span></dt> |
| <dd><code>K</code> - Type of a key in <code>upstream</code> data.</dd> |
| <dd><code>V</code> - Type of a value in <code>upstream</code> data.</dd> |
| <dt><span class="paramLabel">Parameters:</span></dt> |
| <dd><code>datasetBuilder</code> - Dataset builder.</dd> |
| <dd><code>extractor</code> - Extractor of <a href="../../../../../../org/apache/ignite/ml/dataset/UpstreamEntry.html" title="class in org.apache.ignite.ml.dataset"><code>UpstreamEntry</code></a> into <a href="../../../../../../org/apache/ignite/ml/structures/LabeledVector.html" title="class in org.apache.ignite.ml.structures"><code>LabeledVector</code></a>.</dd> |
| <dt><span class="returnLabel">Returns:</span></dt> |
| <dd>Model.</dd> |
| </dl> |
| </li> |
| </ul> |
| <a name="updateModel-org.apache.ignite.ml.regressions.linear.LinearRegressionModel-org.apache.ignite.ml.dataset.DatasetBuilder-org.apache.ignite.ml.preprocessing.Preprocessor-"> |
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| <h4>updateModel</h4> |
| <pre>protected <span class='angle_bracket'><</span>K,V<span class='angle_bracket'>></span> <a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionModel.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionModel</a> updateModel(<a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionModel.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionModel</a> mdl, |
| <a href="../../../../../../org/apache/ignite/ml/dataset/DatasetBuilder.html" title="interface in org.apache.ignite.ml.dataset">DatasetBuilder</a><span class='angle_bracket'><</span>K,V<span class='angle_bracket'>></span> datasetBuilder, |
| <a href="../../../../../../org/apache/ignite/ml/preprocessing/Preprocessor.html" title="interface in org.apache.ignite.ml.preprocessing">Preprocessor</a><span class='angle_bracket'><</span>K,V<span class='angle_bracket'>></span> extractor)</pre> |
| <div class="block">Gets state of model in arguments, update in according to new data and return new model.</div> |
| <dl> |
| <dt><span class="overrideSpecifyLabel">Specified by:</span></dt> |
| <dd><code><a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#updateModel-M-org.apache.ignite.ml.dataset.DatasetBuilder-org.apache.ignite.ml.preprocessing.Preprocessor-">updateModel</a></code> in class <code><a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html" title="class in org.apache.ignite.ml.trainers">DatasetTrainer</a><span class='angle_bracket'><</span><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionModel.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionModel</a>,<a href="https://docs.oracle.com/javase/8/docs/api/java/lang/Double.html?is-external=true" title="class or interface in java.lang">Double</a><span class='angle_bracket'>></span></code></dd> |
| <dt><span class="paramLabel">Type Parameters:</span></dt> |
| <dd><code>K</code> - Type of a key in <code>upstream</code> data.</dd> |
| <dd><code>V</code> - Type of a value in <code>upstream</code> data.</dd> |
| <dt><span class="paramLabel">Parameters:</span></dt> |
| <dd><code>mdl</code> - Learned model.</dd> |
| <dd><code>datasetBuilder</code> - Dataset builder.</dd> |
| <dd><code>extractor</code> - Extractor of <a href="../../../../../../org/apache/ignite/ml/dataset/UpstreamEntry.html" title="class in org.apache.ignite.ml.dataset"><code>UpstreamEntry</code></a> into <a href="../../../../../../org/apache/ignite/ml/structures/LabeledVector.html" title="class in org.apache.ignite.ml.structures"><code>LabeledVector</code></a>.</dd> |
| <dt><span class="returnLabel">Returns:</span></dt> |
| <dd>Updated model.</dd> |
| </dl> |
| </li> |
| </ul> |
| <a name="isUpdateable-org.apache.ignite.ml.regressions.linear.LinearRegressionModel-"> |
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| <h4>isUpdateable</h4> |
| <pre>public boolean isUpdateable(<a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionModel.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionModel</a> mdl)</pre> |
| <dl> |
| <dt><span class="overrideSpecifyLabel">Specified by:</span></dt> |
| <dd><code><a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html#isUpdateable-M-">isUpdateable</a></code> in class <code><a href="../../../../../../org/apache/ignite/ml/trainers/DatasetTrainer.html" title="class in org.apache.ignite.ml.trainers">DatasetTrainer</a><span class='angle_bracket'><</span><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionModel.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionModel</a>,<a href="https://docs.oracle.com/javase/8/docs/api/java/lang/Double.html?is-external=true" title="class or interface in java.lang">Double</a><span class='angle_bracket'>></span></code></dd> |
| <dt><span class="paramLabel">Parameters:</span></dt> |
| <dd><code>mdl</code> - Model.</dd> |
| <dt><span class="returnLabel">Returns:</span></dt> |
| <dd>True if current critical for training parameters correspond to parameters from last training.</dd> |
| </dl> |
| </li> |
| </ul> |
| <a name="withMaxIterations-int-"> |
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| </a> |
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| <h4>withMaxIterations</h4> |
| <pre>public <a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionSGDTrainer</a><span class='angle_bracket'><</span><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="type parameter in LinearRegressionSGDTrainer">P</a><span class='angle_bracket'>></span> withMaxIterations(int maxIterations)</pre> |
| <div class="block">Set up the max amount of iterations before convergence.</div> |
| <dl> |
| <dt><span class="paramLabel">Parameters:</span></dt> |
| <dd><code>maxIterations</code> - The parameter value.</dd> |
| <dt><span class="returnLabel">Returns:</span></dt> |
| <dd>Model with new max number of iterations before convergence parameter value.</dd> |
| </dl> |
| </li> |
| </ul> |
| <a name="withBatchSize-int-"> |
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| <h4>withBatchSize</h4> |
| <pre>public <a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionSGDTrainer</a><span class='angle_bracket'><</span><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="type parameter in LinearRegressionSGDTrainer">P</a><span class='angle_bracket'>></span> withBatchSize(int batchSize)</pre> |
| <div class="block">Set up the batchSize parameter.</div> |
| <dl> |
| <dt><span class="paramLabel">Parameters:</span></dt> |
| <dd><code>batchSize</code> - The size of learning batch.</dd> |
| <dt><span class="returnLabel">Returns:</span></dt> |
| <dd>Trainer with new batch size parameter value.</dd> |
| </dl> |
| </li> |
| </ul> |
| <a name="withLocIterations-int-"> |
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| </a> |
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| <h4>withLocIterations</h4> |
| <pre>public <a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionSGDTrainer</a><span class='angle_bracket'><</span><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="type parameter in LinearRegressionSGDTrainer">P</a><span class='angle_bracket'>></span> withLocIterations(int amountOfLocIterations)</pre> |
| <div class="block">Set up the amount of local iterations of SGD algorithm.</div> |
| <dl> |
| <dt><span class="paramLabel">Parameters:</span></dt> |
| <dd><code>amountOfLocIterations</code> - The parameter value.</dd> |
| <dt><span class="returnLabel">Returns:</span></dt> |
| <dd>Trainer with new locIterations parameter value.</dd> |
| </dl> |
| </li> |
| </ul> |
| <a name="withSeed-long-"> |
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| </a> |
| <ul class="blockList"> |
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| <h4>withSeed</h4> |
| <pre>public <a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="class in org.apache.ignite.ml.regressions.linear">LinearRegressionSGDTrainer</a><span class='angle_bracket'><</span><a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="type parameter in LinearRegressionSGDTrainer">P</a><span class='angle_bracket'>></span> withSeed(long seed)</pre> |
| <div class="block">Set up the random seed parameter.</div> |
| <dl> |
| <dt><span class="paramLabel">Parameters:</span></dt> |
| <dd><code>seed</code> - Seed for random generator.</dd> |
| <dt><span class="returnLabel">Returns:</span></dt> |
| <dd>Trainer with new seed parameter value.</dd> |
| </dl> |
| </li> |
| </ul> |
| <a name="getUpdatesStgy--"> |
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| </a> |
| <ul class="blockList"> |
| <li class="blockList"> |
| <h4>getUpdatesStgy</h4> |
| <pre>public <a href="../../../../../../org/apache/ignite/ml/nn/UpdatesStrategy.html" title="class in org.apache.ignite.ml.nn">UpdatesStrategy</a><span class='angle_bracket'><</span>? super <a href="../../../../../../org/apache/ignite/ml/nn/MultilayerPerceptron.html" title="class in org.apache.ignite.ml.nn">MultilayerPerceptron</a>,<a href="../../../../../../org/apache/ignite/ml/regressions/linear/LinearRegressionSGDTrainer.html" title="type parameter in LinearRegressionSGDTrainer">P</a><span class='angle_bracket'>></span> getUpdatesStgy()</pre> |
| <div class="block">Get the update strategy.</div> |
| <dl> |
| <dt><span class="returnLabel">Returns:</span></dt> |
| <dd>The property value.</dd> |
| </dl> |
| </li> |
| </ul> |
| <a name="getMaxIterations--"> |
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| </a> |
| <ul class="blockList"> |
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| <h4>getMaxIterations</h4> |
| <pre>public int getMaxIterations()</pre> |
| <div class="block">Get the max amount of iterations.</div> |
| <dl> |
| <dt><span class="returnLabel">Returns:</span></dt> |
| <dd>The property value.</dd> |
| </dl> |
| </li> |
| </ul> |
| <a name="getBatchSize--"> |
| <!-- --> |
| </a> |
| <ul class="blockList"> |
| <li class="blockList"> |
| <h4>getBatchSize</h4> |
| <pre>public int getBatchSize()</pre> |
| <div class="block">Get the batch size.</div> |
| <dl> |
| <dt><span class="returnLabel">Returns:</span></dt> |
| <dd>The property value.</dd> |
| </dl> |
| </li> |
| </ul> |
| <a name="getLocIterations--"> |
| <!-- --> |
| </a> |
| <ul class="blockList"> |
| <li class="blockList"> |
| <h4>getLocIterations</h4> |
| <pre>public int getLocIterations()</pre> |
| <div class="block">Get the amount of local iterations.</div> |
| <dl> |
| <dt><span class="returnLabel">Returns:</span></dt> |
| <dd>The property value.</dd> |
| </dl> |
| </li> |
| </ul> |
| <a name="getSeed--"> |
| <!-- --> |
| </a> |
| <ul class="blockListLast"> |
| <li class="blockList"> |
| <h4>getSeed</h4> |
| <pre>public long getSeed()</pre> |
| <div class="block">Get the seed for random generator.</div> |
| <dl> |
| <dt><span class="returnLabel">Returns:</span></dt> |
| <dd>The property value.</dd> |
| </dl> |
| </li> |
| </ul> |
| </li> |
| </ul> |
| </li> |
| </ul> |
| </div> |
| </div> |
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