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<h3><a href="ml-guide.html">MLlib: Main Guide</a></h3>
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<h1 class="title">MLlib: RDD-based API</h1>
<p>This page documents sections of the MLlib guide for the RDD-based API (the <code class="language-plaintext highlighter-rouge">spark.mllib</code> package).
Please see the <a href="ml-guide.html">MLlib Main Guide</a> for the DataFrame-based API (the <code class="language-plaintext highlighter-rouge">spark.ml</code> package),
which is now the primary API for MLlib.</p>
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<li><a href="mllib-data-types.html">Data types</a></li>
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<li><a href="mllib-statistics.html#summary-statistics">summary statistics</a></li>
<li><a href="mllib-statistics.html#correlations">correlations</a></li>
<li><a href="mllib-statistics.html#stratified-sampling">stratified sampling</a></li>
<li><a href="mllib-statistics.html#hypothesis-testing">hypothesis testing</a></li>
<li><a href="mllib-statistics.html#streaming-significance-testing">streaming significance testing</a></li>
<li><a href="mllib-statistics.html#random-data-generation">random data generation</a></li>
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<li><a href="mllib-linear-methods.html">linear models (SVMs, logistic regression, linear regression)</a></li>
<li><a href="mllib-naive-bayes.html">naive Bayes</a></li>
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<li><a href="mllib-collaborative-filtering.html">Collaborative filtering</a>
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<li><a href="mllib-collaborative-filtering.html#collaborative-filtering">alternating least squares (ALS)</a></li>
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<li><a href="mllib-clustering.html">Clustering</a>
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<li><a href="mllib-clustering.html#gaussian-mixture">Gaussian mixture</a></li>
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<li><a href="mllib-dimensionality-reduction.html">Dimensionality reduction</a>
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<li><a href="mllib-dimensionality-reduction.html#singular-value-decomposition-svd">singular value decomposition (SVD)</a></li>
<li><a href="mllib-dimensionality-reduction.html#principal-component-analysis-pca">principal component analysis (PCA)</a></li>
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<li><a href="mllib-optimization.html#limited-memory-bfgs-l-bfgs">limited-memory BFGS (L-BFGS)</a></li>
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