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<h1>Source code for pyspark.mllib.stat.distribution</h1><div class="highlight"><pre>
<span class="c">#</span>
<span class="c"># Licensed to the Apache Software Foundation (ASF) under one or more</span>
<span class="c"># contributor license agreements. See the NOTICE file distributed with</span>
<span class="c"># this work for additional information regarding copyright ownership.</span>
<span class="c"># The ASF licenses this file to You under the Apache License, Version 2.0</span>
<span class="c"># (the "License"); you may not use this file except in compliance with</span>
<span class="c"># the License. You may obtain a copy of the License at</span>
<span class="c">#</span>
<span class="c"># http://www.apache.org/licenses/LICENSE-2.0</span>
<span class="c">#</span>
<span class="c"># Unless required by applicable law or agreed to in writing, software</span>
<span class="c"># distributed under the License is distributed on an "AS IS" BASIS,</span>
<span class="c"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
<span class="c"># See the License for the specific language governing permissions and</span>
<span class="c"># limitations under the License.</span>
<span class="c">#</span>
<span class="kn">from</span> <span class="nn">collections</span> <span class="kn">import</span> <span class="n">namedtuple</span>
<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s">'MultivariateGaussian'</span><span class="p">]</span>
<div class="viewcode-block" id="MultivariateGaussian"><a class="viewcode-back" href="../../../../pyspark.mllib.html#pyspark.mllib.stat.MultivariateGaussian">[docs]</a><span class="k">class</span> <span class="nc">MultivariateGaussian</span><span class="p">(</span><span class="n">namedtuple</span><span class="p">(</span><span class="s">'MultivariateGaussian'</span><span class="p">,</span> <span class="p">[</span><span class="s">'mu'</span><span class="p">,</span> <span class="s">'sigma'</span><span class="p">])):</span>
<span class="sd">"""Represents a (mu, sigma) tuple</span>
<span class="sd"> >>> m = MultivariateGaussian(Vectors.dense([11,12]),DenseMatrix(2, 2, (1.0, 3.0, 5.0, 2.0)))</span>
<span class="sd"> >>> (m.mu, m.sigma.toArray())</span>
<span class="sd"> (DenseVector([11.0, 12.0]), array([[ 1., 5.],[ 3., 2.]]))</span>
<span class="sd"> >>> (m[0], m[1])</span>
<span class="sd"> (DenseVector([11.0, 12.0]), array([[ 1., 5.],[ 3., 2.]]))</span>
<span class="sd"> """</span></div>
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