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<h1 title="Package" class="title">Package org.apache.spark.ml</h1>
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<div class="block">Spark ML is a BETA component that adds a new set of machine learning APIs to let users quickly
assemble and configure practical machine learning pipelines.</div>
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<p>See: <a href="#package_description">Description</a></p>
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<th class="colFirst" scope="col">Class</th>
<th class="colLast" scope="col">Description</th>
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<td class="colFirst"><a href="../../../../org/apache/spark/ml/Estimator.html" title="class in org.apache.spark.ml">Estimator</a><M extends <a href="../../../../org/apache/spark/ml/Model.html" title="class in org.apache.spark.ml">Model</a><M>></td>
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<div class="block">:: DeveloperApi ::
Abstract class for estimators that fit models to data.</div>
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<td class="colFirst"><a href="../../../../org/apache/spark/ml/Model.html" title="class in org.apache.spark.ml">Model</a><M extends <a href="../../../../org/apache/spark/ml/Model.html" title="class in org.apache.spark.ml">Model</a><M>></td>
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<div class="block">:: DeveloperApi ::
A fitted model, i.e., a <a href="../../../../org/apache/spark/ml/Transformer.html" title="class in org.apache.spark.ml"><code>Transformer</code></a> produced by an <a href="../../../../org/apache/spark/ml/Estimator.html" title="class in org.apache.spark.ml"><code>Estimator</code></a>.</div>
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<td class="colFirst"><a href="../../../../org/apache/spark/ml/Pipeline.html" title="class in org.apache.spark.ml">Pipeline</a></td>
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<div class="block">:: Experimental ::
A simple pipeline, which acts as an estimator.</div>
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<td class="colFirst"><a href="../../../../org/apache/spark/ml/PipelineModel.html" title="class in org.apache.spark.ml">PipelineModel</a></td>
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<div class="block">:: Experimental ::
Represents a fitted pipeline.</div>
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<td class="colFirst"><a href="../../../../org/apache/spark/ml/PipelineStage.html" title="class in org.apache.spark.ml">PipelineStage</a></td>
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<div class="block">:: DeveloperApi ::
A stage in a pipeline, either an <a href="../../../../org/apache/spark/ml/Estimator.html" title="class in org.apache.spark.ml"><code>Estimator</code></a> or a <a href="../../../../org/apache/spark/ml/Transformer.html" title="class in org.apache.spark.ml"><code>Transformer</code></a>.</div>
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<td class="colFirst"><a href="../../../../org/apache/spark/ml/PredictionModel.html" title="class in org.apache.spark.ml">PredictionModel</a><FeaturesType,M extends <a href="../../../../org/apache/spark/ml/PredictionModel.html" title="class in org.apache.spark.ml">PredictionModel</a><FeaturesType,M>></td>
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<div class="block">:: DeveloperApi ::
Abstraction for a model for prediction tasks (regression and classification).</div>
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<td class="colFirst"><a href="../../../../org/apache/spark/ml/Predictor.html" title="class in org.apache.spark.ml">Predictor</a><FeaturesType,Learner extends <a href="../../../../org/apache/spark/ml/Predictor.html" title="class in org.apache.spark.ml">Predictor</a><FeaturesType,Learner,M>,M extends <a href="../../../../org/apache/spark/ml/PredictionModel.html" title="class in org.apache.spark.ml">PredictionModel</a><FeaturesType,M>></td>
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<div class="block">:: DeveloperApi ::
Abstraction for prediction problems (regression and classification).</div>
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<td class="colFirst"><a href="../../../../org/apache/spark/ml/Transformer.html" title="class in org.apache.spark.ml">Transformer</a></td>
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<div class="block">:: DeveloperApi ::
Abstract class for transformers that transform one dataset into another.</div>
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<td class="colFirst"><a href="../../../../org/apache/spark/ml/UnaryTransformer.html" title="class in org.apache.spark.ml">UnaryTransformer</a><IN,OUT,T extends <a href="../../../../org/apache/spark/ml/UnaryTransformer.html" title="class in org.apache.spark.ml">UnaryTransformer</a><IN,OUT,T>></td>
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<div class="block">:: DeveloperApi ::
Abstract class for transformers that take one input column, apply transformation, and output the
result as a new column.</div>
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<h2 title="Package org.apache.spark.ml Description">Package org.apache.spark.ml Description</h2>
<div class="block">Spark ML is a BETA component that adds a new set of machine learning APIs to let users quickly
assemble and configure practical machine learning pipelines.</div>
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