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<a href="pyspark-module.html">Package pyspark</a> ::
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Module linalg
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<h1 class="epydoc">Source Code for <a href="pyspark.mllib.linalg-module.html">Module pyspark.mllib.linalg</a></h1>
<pre class="py-src">
<a name="L1"></a><tt class="py-lineno"> 1</tt> <tt class="py-line"><tt class="py-comment">#</tt> </tt>
<a name="L2"></a><tt class="py-lineno"> 2</tt> <tt class="py-line"><tt class="py-comment"># Licensed to the Apache Software Foundation (ASF) under one or more</tt> </tt>
<a name="L3"></a><tt class="py-lineno"> 3</tt> <tt class="py-line"><tt class="py-comment"># contributor license agreements. See the NOTICE file distributed with</tt> </tt>
<a name="L4"></a><tt class="py-lineno"> 4</tt> <tt class="py-line"><tt class="py-comment"># this work for additional information regarding copyright ownership.</tt> </tt>
<a name="L5"></a><tt class="py-lineno"> 5</tt> <tt class="py-line"><tt class="py-comment"># The ASF licenses this file to You under the Apache License, Version 2.0</tt> </tt>
<a name="L6"></a><tt class="py-lineno"> 6</tt> <tt class="py-line"><tt class="py-comment"># (the "License"); you may not use this file except in compliance with</tt> </tt>
<a name="L7"></a><tt class="py-lineno"> 7</tt> <tt class="py-line"><tt class="py-comment"># the License. You may obtain a copy of the License at</tt> </tt>
<a name="L8"></a><tt class="py-lineno"> 8</tt> <tt class="py-line"><tt class="py-comment">#</tt> </tt>
<a name="L9"></a><tt class="py-lineno"> 9</tt> <tt class="py-line"><tt class="py-comment"># http://www.apache.org/licenses/LICENSE-2.0</tt> </tt>
<a name="L10"></a><tt class="py-lineno"> 10</tt> <tt class="py-line"><tt class="py-comment">#</tt> </tt>
<a name="L11"></a><tt class="py-lineno"> 11</tt> <tt class="py-line"><tt class="py-comment"># Unless required by applicable law or agreed to in writing, software</tt> </tt>
<a name="L12"></a><tt class="py-lineno"> 12</tt> <tt class="py-line"><tt class="py-comment"># distributed under the License is distributed on an "AS IS" BASIS,</tt> </tt>
<a name="L13"></a><tt class="py-lineno"> 13</tt> <tt class="py-line"><tt class="py-comment"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</tt> </tt>
<a name="L14"></a><tt class="py-lineno"> 14</tt> <tt class="py-line"><tt class="py-comment"># See the License for the specific language governing permissions and</tt> </tt>
<a name="L15"></a><tt class="py-lineno"> 15</tt> <tt class="py-line"><tt class="py-comment"># limitations under the License.</tt> </tt>
<a name="L16"></a><tt class="py-lineno"> 16</tt> <tt class="py-line"><tt class="py-comment">#</tt> </tt>
<a name="L17"></a><tt class="py-lineno"> 17</tt> <tt class="py-line"> </tt>
<a name="L18"></a><tt class="py-lineno"> 18</tt> <tt class="py-line"><tt class="py-docstring">"""</tt> </tt>
<a name="L19"></a><tt class="py-lineno"> 19</tt> <tt class="py-line"><tt class="py-docstring">MLlib utilities for linear algebra. For dense vectors, MLlib</tt> </tt>
<a name="L20"></a><tt class="py-lineno"> 20</tt> <tt class="py-line"><tt class="py-docstring">uses the NumPy C{array} type, so you can simply pass NumPy arrays</tt> </tt>
<a name="L21"></a><tt class="py-lineno"> 21</tt> <tt class="py-line"><tt class="py-docstring">around. For sparse vectors, users can construct a L{SparseVector}</tt> </tt>
<a name="L22"></a><tt class="py-lineno"> 22</tt> <tt class="py-line"><tt class="py-docstring">object from MLlib or pass SciPy C{scipy.sparse} column vectors if</tt> </tt>
<a name="L23"></a><tt class="py-lineno"> 23</tt> <tt class="py-line"><tt class="py-docstring">SciPy is available in their environment.</tt> </tt>
<a name="L24"></a><tt class="py-lineno"> 24</tt> <tt class="py-line"><tt class="py-docstring">"""</tt> </tt>
<a name="L25"></a><tt class="py-lineno"> 25</tt> <tt class="py-line"> </tt>
<a name="L26"></a><tt class="py-lineno"> 26</tt> <tt class="py-line"><tt class="py-keyword">from</tt> <tt class="py-name">numpy</tt> <tt class="py-keyword">import</tt> <tt class="py-name">array</tt><tt class="py-op">,</tt> <tt class="py-name">array_equal</tt><tt class="py-op">,</tt> <tt class="py-name">ndarray</tt><tt class="py-op">,</tt> <tt class="py-name">float64</tt><tt class="py-op">,</tt> <tt class="py-name">int32</tt> </tt>
<a name="SparseVector"></a><div id="SparseVector-def"><a name="L27"></a><tt class="py-lineno"> 27</tt> <tt class="py-line"> </tt>
<a name="L28"></a><tt class="py-lineno"> 28</tt> <tt class="py-line"> </tt>
<a name="L29"></a><tt class="py-lineno"> 29</tt> <a class="py-toggle" href="#" id="SparseVector-toggle" onclick="return toggle('SparseVector');">-</a><tt class="py-line"><tt class="py-keyword">class</tt> <a class="py-def-name" href="pyspark.mllib.linalg.SparseVector-class.html">SparseVector</a><tt class="py-op">(</tt><tt class="py-base-class">object</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="SparseVector-collapsed" style="display:none;" pad="+++" indent="++++"></div><div id="SparseVector-expanded"><a name="L30"></a><tt class="py-lineno"> 30</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
<a name="L31"></a><tt class="py-lineno"> 31</tt> <tt class="py-line"><tt class="py-docstring"> A simple sparse vector class for passing data to MLlib. Users may</tt> </tt>
<a name="L32"></a><tt class="py-lineno"> 32</tt> <tt class="py-line"><tt class="py-docstring"> alternatively pass SciPy's {scipy.sparse} data types.</tt> </tt>
<a name="L33"></a><tt class="py-lineno"> 33</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
<a name="L34"></a><tt class="py-lineno"> 34</tt> <tt class="py-line"> </tt>
<a name="SparseVector.__init__"></a><div id="SparseVector.__init__-def"><a name="L35"></a><tt class="py-lineno"> 35</tt> <a class="py-toggle" href="#" id="SparseVector.__init__-toggle" onclick="return toggle('SparseVector.__init__');">-</a><tt class="py-line"> <tt class="py-keyword">def</tt> <a class="py-def-name" href="pyspark.mllib.linalg.SparseVector-class.html#__init__">__init__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">size</tt><tt class="py-op">,</tt> <tt class="py-op">*</tt><tt class="py-param">args</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="SparseVector.__init__-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="SparseVector.__init__-expanded"><a name="L36"></a><tt class="py-lineno"> 36</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
<a name="L37"></a><tt class="py-lineno"> 37</tt> <tt class="py-line"><tt class="py-docstring"> Create a sparse vector, using either a dictionary, a list of</tt> </tt>
<a name="L38"></a><tt class="py-lineno"> 38</tt> <tt class="py-line"><tt class="py-docstring"> (index, value) pairs, or two separate arrays of indices and</tt> </tt>
<a name="L39"></a><tt class="py-lineno"> 39</tt> <tt class="py-line"><tt class="py-docstring"> values (sorted by index).</tt> </tt>
<a name="L40"></a><tt class="py-lineno"> 40</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L41"></a><tt class="py-lineno"> 41</tt> <tt class="py-line"><tt class="py-docstring"> @param size: Size of the vector.</tt> </tt>
<a name="L42"></a><tt class="py-lineno"> 42</tt> <tt class="py-line"><tt class="py-docstring"> @param args: Non-zero entries, as a dictionary, list of tupes,</tt> </tt>
<a name="L43"></a><tt class="py-lineno"> 43</tt> <tt class="py-line"><tt class="py-docstring"> or two sorted lists containing indices and values.</tt> </tt>
<a name="L44"></a><tt class="py-lineno"> 44</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L45"></a><tt class="py-lineno"> 45</tt> <tt class="py-line"><tt class="py-docstring"> >>> print SparseVector(4, {1: 1.0, 3: 5.5})</tt> </tt>
<a name="L46"></a><tt class="py-lineno"> 46</tt> <tt class="py-line"><tt class="py-docstring"> [1: 1.0, 3: 5.5]</tt> </tt>
<a name="L47"></a><tt class="py-lineno"> 47</tt> <tt class="py-line"><tt class="py-docstring"> >>> print SparseVector(4, [(1, 1.0), (3, 5.5)])</tt> </tt>
<a name="L48"></a><tt class="py-lineno"> 48</tt> <tt class="py-line"><tt class="py-docstring"> [1: 1.0, 3: 5.5]</tt> </tt>
<a name="L49"></a><tt class="py-lineno"> 49</tt> <tt class="py-line"><tt class="py-docstring"> >>> print SparseVector(4, [1, 3], [1.0, 5.5])</tt> </tt>
<a name="L50"></a><tt class="py-lineno"> 50</tt> <tt class="py-line"><tt class="py-docstring"> [1: 1.0, 3: 5.5]</tt> </tt>
<a name="L51"></a><tt class="py-lineno"> 51</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
<a name="L52"></a><tt class="py-lineno"> 52</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">size</tt> <tt class="py-op">=</tt> <tt class="py-name">int</tt><tt class="py-op">(</tt><tt class="py-name">size</tt><tt class="py-op">)</tt> </tt>
<a name="L53"></a><tt class="py-lineno"> 53</tt> <tt class="py-line"> <tt class="py-keyword">assert</tt> <tt class="py-number">1</tt> <tt class="py-op"><=</tt> <tt class="py-name">len</tt><tt class="py-op">(</tt><tt class="py-name">args</tt><tt class="py-op">)</tt> <tt class="py-op"><=</tt> <tt class="py-number">2</tt><tt class="py-op">,</tt> <tt class="py-string">"must pass either 2 or 3 arguments"</tt> </tt>
<a name="L54"></a><tt class="py-lineno"> 54</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">len</tt><tt class="py-op">(</tt><tt class="py-name">args</tt><tt class="py-op">)</tt> <tt class="py-op">==</tt> <tt class="py-number">1</tt><tt class="py-op">:</tt> </tt>
<a name="L55"></a><tt class="py-lineno"> 55</tt> <tt class="py-line"> <tt class="py-name">pairs</tt> <tt class="py-op">=</tt> <tt class="py-name">args</tt><tt class="py-op">[</tt><tt class="py-number">0</tt><tt class="py-op">]</tt> </tt>
<a name="L56"></a><tt class="py-lineno"> 56</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">type</tt><tt class="py-op">(</tt><tt class="py-name">pairs</tt><tt class="py-op">)</tt> <tt class="py-op">==</tt> <tt class="py-name">dict</tt><tt class="py-op">:</tt> </tt>
<a name="L57"></a><tt class="py-lineno"> 57</tt> <tt class="py-line"> <tt class="py-name">pairs</tt> <tt class="py-op">=</tt> <tt class="py-name">pairs</tt><tt class="py-op">.</tt><tt class="py-name">items</tt><tt class="py-op">(</tt><tt class="py-op">)</tt> </tt>
<a name="L58"></a><tt class="py-lineno"> 58</tt> <tt class="py-line"> <tt class="py-name">pairs</tt> <tt class="py-op">=</tt> <tt class="py-name">sorted</tt><tt class="py-op">(</tt><tt class="py-name">pairs</tt><tt class="py-op">)</tt> </tt>
<a name="L59"></a><tt class="py-lineno"> 59</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt> <tt class="py-op">=</tt> <tt class="py-name">array</tt><tt class="py-op">(</tt><tt class="py-op">[</tt><tt class="py-name">p</tt><tt class="py-op">[</tt><tt class="py-number">0</tt><tt class="py-op">]</tt> <tt class="py-keyword">for</tt> <tt class="py-name">p</tt> <tt class="py-keyword">in</tt> <tt class="py-name">pairs</tt><tt class="py-op">]</tt><tt class="py-op">,</tt> <tt class="py-name">dtype</tt><tt class="py-op">=</tt><tt class="py-name">int32</tt><tt class="py-op">)</tt> </tt>
<a name="L60"></a><tt class="py-lineno"> 60</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-0" class="py-name" targets="Method pyspark.rdd.RDD.values()=pyspark.rdd.RDD-class.html#values"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-0', 'values', 'link-0');">values</a></tt> <tt class="py-op">=</tt> <tt class="py-name">array</tt><tt class="py-op">(</tt><tt class="py-op">[</tt><tt class="py-name">p</tt><tt class="py-op">[</tt><tt class="py-number">1</tt><tt class="py-op">]</tt> <tt class="py-keyword">for</tt> <tt class="py-name">p</tt> <tt class="py-keyword">in</tt> <tt class="py-name">pairs</tt><tt class="py-op">]</tt><tt class="py-op">,</tt> <tt class="py-name">dtype</tt><tt class="py-op">=</tt><tt class="py-name">float64</tt><tt class="py-op">)</tt> </tt>
<a name="L61"></a><tt class="py-lineno"> 61</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
<a name="L62"></a><tt class="py-lineno"> 62</tt> <tt class="py-line"> <tt class="py-keyword">assert</tt> <tt class="py-name">len</tt><tt class="py-op">(</tt><tt class="py-name">args</tt><tt class="py-op">[</tt><tt class="py-number">0</tt><tt class="py-op">]</tt><tt class="py-op">)</tt> <tt class="py-op">==</tt> <tt class="py-name">len</tt><tt class="py-op">(</tt><tt class="py-name">args</tt><tt class="py-op">[</tt><tt class="py-number">1</tt><tt class="py-op">]</tt><tt class="py-op">)</tt><tt class="py-op">,</tt> <tt class="py-string">"index and value arrays not same length"</tt> </tt>
<a name="L63"></a><tt class="py-lineno"> 63</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt> <tt class="py-op">=</tt> <tt class="py-name">array</tt><tt class="py-op">(</tt><tt class="py-name">args</tt><tt class="py-op">[</tt><tt class="py-number">0</tt><tt class="py-op">]</tt><tt class="py-op">,</tt> <tt class="py-name">dtype</tt><tt class="py-op">=</tt><tt class="py-name">int32</tt><tt class="py-op">)</tt> </tt>
<a name="L64"></a><tt class="py-lineno"> 64</tt> <tt class="py-line"> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-1" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-1', 'values', 'link-0');">values</a></tt> <tt class="py-op">=</tt> <tt class="py-name">array</tt><tt class="py-op">(</tt><tt class="py-name">args</tt><tt class="py-op">[</tt><tt class="py-number">1</tt><tt class="py-op">]</tt><tt class="py-op">,</tt> <tt class="py-name">dtype</tt><tt class="py-op">=</tt><tt class="py-name">float64</tt><tt class="py-op">)</tt> </tt>
<a name="L65"></a><tt class="py-lineno"> 65</tt> <tt class="py-line"> <tt class="py-keyword">for</tt> <tt class="py-name">i</tt> <tt class="py-keyword">in</tt> <tt class="py-name">xrange</tt><tt class="py-op">(</tt><tt class="py-name">len</tt><tt class="py-op">(</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">)</tt> <tt class="py-op">-</tt> <tt class="py-number">1</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
<a name="L66"></a><tt class="py-lineno"> 66</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt> <tt class="py-op">>=</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">[</tt><tt class="py-name">i</tt> <tt class="py-op">+</tt> <tt class="py-number">1</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
<a name="L67"></a><tt class="py-lineno"> 67</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">TypeError</tt><tt class="py-op">(</tt><tt class="py-string">"indices array must be sorted"</tt><tt class="py-op">)</tt> </tt>
</div><a name="L68"></a><tt class="py-lineno"> 68</tt> <tt class="py-line"> </tt>
<a name="SparseVector.dot"></a><div id="SparseVector.dot-def"><a name="L69"></a><tt class="py-lineno"> 69</tt> <a class="py-toggle" href="#" id="SparseVector.dot-toggle" onclick="return toggle('SparseVector.dot');">-</a><tt class="py-line"> <tt class="py-keyword">def</tt> <a class="py-def-name" href="pyspark.mllib.linalg.SparseVector-class.html#dot">dot</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">other</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="SparseVector.dot-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="SparseVector.dot-expanded"><a name="L70"></a><tt class="py-lineno"> 70</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
<a name="L71"></a><tt class="py-lineno"> 71</tt> <tt class="py-line"><tt class="py-docstring"> Dot product with a SparseVector or 1- or 2-dimensional Numpy array.</tt> </tt>
<a name="L72"></a><tt class="py-lineno"> 72</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L73"></a><tt class="py-lineno"> 73</tt> <tt class="py-line"><tt class="py-docstring"> >>> a = SparseVector(4, [1, 3], [3.0, 4.0])</tt> </tt>
<a name="L74"></a><tt class="py-lineno"> 74</tt> <tt class="py-line"><tt class="py-docstring"> >>> a.dot(a)</tt> </tt>
<a name="L75"></a><tt class="py-lineno"> 75</tt> <tt class="py-line"><tt class="py-docstring"> 25.0</tt> </tt>
<a name="L76"></a><tt class="py-lineno"> 76</tt> <tt class="py-line"><tt class="py-docstring"> >>> a.dot(array([1., 2., 3., 4.]))</tt> </tt>
<a name="L77"></a><tt class="py-lineno"> 77</tt> <tt class="py-line"><tt class="py-docstring"> 22.0</tt> </tt>
<a name="L78"></a><tt class="py-lineno"> 78</tt> <tt class="py-line"><tt class="py-docstring"> >>> b = SparseVector(4, [2, 4], [1.0, 2.0])</tt> </tt>
<a name="L79"></a><tt class="py-lineno"> 79</tt> <tt class="py-line"><tt class="py-docstring"> >>> a.dot(b)</tt> </tt>
<a name="L80"></a><tt class="py-lineno"> 80</tt> <tt class="py-line"><tt class="py-docstring"> 0.0</tt> </tt>
<a name="L81"></a><tt class="py-lineno"> 81</tt> <tt class="py-line"><tt class="py-docstring"> >>> a.dot(array([[1, 1], [2, 2], [3, 3], [4, 4]]))</tt> </tt>
<a name="L82"></a><tt class="py-lineno"> 82</tt> <tt class="py-line"><tt class="py-docstring"> array([ 22., 22.])</tt> </tt>
<a name="L83"></a><tt class="py-lineno"> 83</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
<a name="L84"></a><tt class="py-lineno"> 84</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">type</tt><tt class="py-op">(</tt><tt class="py-name">other</tt><tt class="py-op">)</tt> <tt class="py-op">==</tt> <tt class="py-name">ndarray</tt><tt class="py-op">:</tt> </tt>
<a name="L85"></a><tt class="py-lineno"> 85</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">other</tt><tt class="py-op">.</tt><tt class="py-name">ndim</tt> <tt class="py-op">==</tt> <tt class="py-number">1</tt><tt class="py-op">:</tt> </tt>
<a name="L86"></a><tt class="py-lineno"> 86</tt> <tt class="py-line"> <tt class="py-name">result</tt> <tt class="py-op">=</tt> <tt class="py-number">0.0</tt> </tt>
<a name="L87"></a><tt class="py-lineno"> 87</tt> <tt class="py-line"> <tt class="py-keyword">for</tt> <tt class="py-name">i</tt> <tt class="py-keyword">in</tt> <tt class="py-name">xrange</tt><tt class="py-op">(</tt><tt class="py-name">len</tt><tt class="py-op">(</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">)</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
<a name="L88"></a><tt class="py-lineno"> 88</tt> <tt class="py-line"> <tt class="py-name">result</tt> <tt class="py-op">+=</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-2" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-2', 'values', 'link-0');">values</a></tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt> <tt class="py-op">*</tt> <tt class="py-name">other</tt><tt class="py-op">[</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt><tt class="py-op">]</tt> </tt>
<a name="L89"></a><tt class="py-lineno"> 89</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">result</tt> </tt>
<a name="L90"></a><tt class="py-lineno"> 90</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">other</tt><tt class="py-op">.</tt><tt class="py-name">ndim</tt> <tt class="py-op">==</tt> <tt class="py-number">2</tt><tt class="py-op">:</tt> </tt>
<a name="L91"></a><tt class="py-lineno"> 91</tt> <tt class="py-line"> <tt class="py-name">results</tt> <tt class="py-op">=</tt> <tt class="py-op">[</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-3" class="py-name" targets="Method pyspark.mllib.linalg.SparseVector.dot()=pyspark.mllib.linalg.SparseVector-class.html#dot"><a title="pyspark.mllib.linalg.SparseVector.dot" class="py-name" href="#" onclick="return doclink('link-3', 'dot', 'link-3');">dot</a></tt><tt class="py-op">(</tt><tt class="py-name">other</tt><tt class="py-op">[</tt><tt class="py-op">:</tt><tt class="py-op">,</tt> <tt class="py-name">i</tt><tt class="py-op">]</tt><tt class="py-op">)</tt> <tt class="py-keyword">for</tt> <tt class="py-name">i</tt> <tt class="py-keyword">in</tt> <tt class="py-name">xrange</tt><tt class="py-op">(</tt><tt class="py-name">other</tt><tt class="py-op">.</tt><tt class="py-name">shape</tt><tt class="py-op">[</tt><tt class="py-number">1</tt><tt class="py-op">]</tt><tt class="py-op">)</tt><tt class="py-op">]</tt> </tt>
<a name="L92"></a><tt class="py-lineno"> 92</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">array</tt><tt class="py-op">(</tt><tt class="py-name">results</tt><tt class="py-op">)</tt> </tt>
<a name="L93"></a><tt class="py-lineno"> 93</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
<a name="L94"></a><tt class="py-lineno"> 94</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">Exception</tt><tt class="py-op">(</tt><tt class="py-string">"Cannot call dot with %d-dimensional array"</tt> <tt class="py-op">%</tt> <tt class="py-name">other</tt><tt class="py-op">.</tt><tt class="py-name">ndim</tt><tt class="py-op">)</tt> </tt>
<a name="L95"></a><tt class="py-lineno"> 95</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
<a name="L96"></a><tt class="py-lineno"> 96</tt> <tt class="py-line"> <tt class="py-name">result</tt> <tt class="py-op">=</tt> <tt class="py-number">0.0</tt> </tt>
<a name="L97"></a><tt class="py-lineno"> 97</tt> <tt class="py-line"> <tt class="py-name">i</tt><tt class="py-op">,</tt> <tt class="py-name">j</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt><tt class="py-op">,</tt> <tt class="py-number">0</tt> </tt>
<a name="L98"></a><tt class="py-lineno"> 98</tt> <tt class="py-line"> <tt class="py-keyword">while</tt> <tt class="py-name">i</tt> <tt class="py-op"><</tt> <tt class="py-name">len</tt><tt class="py-op">(</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">)</tt> <tt class="py-keyword">and</tt> <tt class="py-name">j</tt> <tt class="py-op"><</tt> <tt class="py-name">len</tt><tt class="py-op">(</tt><tt class="py-name">other</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
<a name="L99"></a><tt class="py-lineno"> 99</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt> <tt class="py-op">==</tt> <tt class="py-name">other</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">[</tt><tt class="py-name">j</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
<a name="L100"></a><tt class="py-lineno">100</tt> <tt class="py-line"> <tt class="py-name">result</tt> <tt class="py-op">+=</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-4" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-4', 'values', 'link-0');">values</a></tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt> <tt class="py-op">*</tt> <tt class="py-name">other</tt><tt class="py-op">.</tt><tt id="link-5" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-5', 'values', 'link-0');">values</a></tt><tt class="py-op">[</tt><tt class="py-name">j</tt><tt class="py-op">]</tt> </tt>
<a name="L101"></a><tt class="py-lineno">101</tt> <tt class="py-line"> <tt class="py-name">i</tt> <tt class="py-op">+=</tt> <tt class="py-number">1</tt> </tt>
<a name="L102"></a><tt class="py-lineno">102</tt> <tt class="py-line"> <tt class="py-name">j</tt> <tt class="py-op">+=</tt> <tt class="py-number">1</tt> </tt>
<a name="L103"></a><tt class="py-lineno">103</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt> <tt class="py-op"><</tt> <tt class="py-name">other</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">[</tt><tt class="py-name">j</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
<a name="L104"></a><tt class="py-lineno">104</tt> <tt class="py-line"> <tt class="py-name">i</tt> <tt class="py-op">+=</tt> <tt class="py-number">1</tt> </tt>
<a name="L105"></a><tt class="py-lineno">105</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
<a name="L106"></a><tt class="py-lineno">106</tt> <tt class="py-line"> <tt class="py-name">j</tt> <tt class="py-op">+=</tt> <tt class="py-number">1</tt> </tt>
<a name="L107"></a><tt class="py-lineno">107</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">result</tt> </tt>
</div><a name="L108"></a><tt class="py-lineno">108</tt> <tt class="py-line"> </tt>
<a name="SparseVector.squared_distance"></a><div id="SparseVector.squared_distance-def"><a name="L109"></a><tt class="py-lineno">109</tt> <a class="py-toggle" href="#" id="SparseVector.squared_distance-toggle" onclick="return toggle('SparseVector.squared_distance');">-</a><tt class="py-line"> <tt class="py-keyword">def</tt> <a class="py-def-name" href="pyspark.mllib.linalg.SparseVector-class.html#squared_distance">squared_distance</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">other</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="SparseVector.squared_distance-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="SparseVector.squared_distance-expanded"><a name="L110"></a><tt class="py-lineno">110</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
<a name="L111"></a><tt class="py-lineno">111</tt> <tt class="py-line"><tt class="py-docstring"> Squared distance from a SparseVector or 1-dimensional NumPy array.</tt> </tt>
<a name="L112"></a><tt class="py-lineno">112</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L113"></a><tt class="py-lineno">113</tt> <tt class="py-line"><tt class="py-docstring"> >>> a = SparseVector(4, [1, 3], [3.0, 4.0])</tt> </tt>
<a name="L114"></a><tt class="py-lineno">114</tt> <tt class="py-line"><tt class="py-docstring"> >>> a.squared_distance(a)</tt> </tt>
<a name="L115"></a><tt class="py-lineno">115</tt> <tt class="py-line"><tt class="py-docstring"> 0.0</tt> </tt>
<a name="L116"></a><tt class="py-lineno">116</tt> <tt class="py-line"><tt class="py-docstring"> >>> a.squared_distance(array([1., 2., 3., 4.]))</tt> </tt>
<a name="L117"></a><tt class="py-lineno">117</tt> <tt class="py-line"><tt class="py-docstring"> 11.0</tt> </tt>
<a name="L118"></a><tt class="py-lineno">118</tt> <tt class="py-line"><tt class="py-docstring"> >>> b = SparseVector(4, [2, 4], [1.0, 2.0])</tt> </tt>
<a name="L119"></a><tt class="py-lineno">119</tt> <tt class="py-line"><tt class="py-docstring"> >>> a.squared_distance(b)</tt> </tt>
<a name="L120"></a><tt class="py-lineno">120</tt> <tt class="py-line"><tt class="py-docstring"> 30.0</tt> </tt>
<a name="L121"></a><tt class="py-lineno">121</tt> <tt class="py-line"><tt class="py-docstring"> >>> b.squared_distance(a)</tt> </tt>
<a name="L122"></a><tt class="py-lineno">122</tt> <tt class="py-line"><tt class="py-docstring"> 30.0</tt> </tt>
<a name="L123"></a><tt class="py-lineno">123</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
<a name="L124"></a><tt class="py-lineno">124</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">type</tt><tt class="py-op">(</tt><tt class="py-name">other</tt><tt class="py-op">)</tt> <tt class="py-op">==</tt> <tt class="py-name">ndarray</tt><tt class="py-op">:</tt> </tt>
<a name="L125"></a><tt class="py-lineno">125</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">other</tt><tt class="py-op">.</tt><tt class="py-name">ndim</tt> <tt class="py-op">==</tt> <tt class="py-number">1</tt><tt class="py-op">:</tt> </tt>
<a name="L126"></a><tt class="py-lineno">126</tt> <tt class="py-line"> <tt class="py-name">result</tt> <tt class="py-op">=</tt> <tt class="py-number">0.0</tt> </tt>
<a name="L127"></a><tt class="py-lineno">127</tt> <tt class="py-line"> <tt class="py-name">j</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt> <tt class="py-comment"># index into our own array</tt> </tt>
<a name="L128"></a><tt class="py-lineno">128</tt> <tt class="py-line"> <tt class="py-keyword">for</tt> <tt class="py-name">i</tt> <tt class="py-keyword">in</tt> <tt class="py-name">xrange</tt><tt class="py-op">(</tt><tt class="py-name">other</tt><tt class="py-op">.</tt><tt class="py-name">shape</tt><tt class="py-op">[</tt><tt class="py-number">0</tt><tt class="py-op">]</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
<a name="L129"></a><tt class="py-lineno">129</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">j</tt> <tt class="py-op"><</tt> <tt class="py-name">len</tt><tt class="py-op">(</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">)</tt> <tt class="py-keyword">and</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">[</tt><tt class="py-name">j</tt><tt class="py-op">]</tt> <tt class="py-op">==</tt> <tt class="py-name">i</tt><tt class="py-op">:</tt> </tt>
<a name="L130"></a><tt class="py-lineno">130</tt> <tt class="py-line"> <tt class="py-name">diff</tt> <tt class="py-op">=</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-6" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-6', 'values', 'link-0');">values</a></tt><tt class="py-op">[</tt><tt class="py-name">j</tt><tt class="py-op">]</tt> <tt class="py-op">-</tt> <tt class="py-name">other</tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt> </tt>
<a name="L131"></a><tt class="py-lineno">131</tt> <tt class="py-line"> <tt class="py-name">result</tt> <tt class="py-op">+=</tt> <tt class="py-name">diff</tt> <tt class="py-op">*</tt> <tt class="py-name">diff</tt> </tt>
<a name="L132"></a><tt class="py-lineno">132</tt> <tt class="py-line"> <tt class="py-name">j</tt> <tt class="py-op">+=</tt> <tt class="py-number">1</tt> </tt>
<a name="L133"></a><tt class="py-lineno">133</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
<a name="L134"></a><tt class="py-lineno">134</tt> <tt class="py-line"> <tt class="py-name">result</tt> <tt class="py-op">+=</tt> <tt class="py-name">other</tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt> <tt class="py-op">*</tt> <tt class="py-name">other</tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt> </tt>
<a name="L135"></a><tt class="py-lineno">135</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">result</tt> </tt>
<a name="L136"></a><tt class="py-lineno">136</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
<a name="L137"></a><tt class="py-lineno">137</tt> <tt class="py-line"> <tt class="py-keyword">raise</tt> <tt class="py-name">Exception</tt><tt class="py-op">(</tt><tt class="py-string">"Cannot call squared_distance with %d-dimensional array"</tt> <tt class="py-op">%</tt> </tt>
<a name="L138"></a><tt class="py-lineno">138</tt> <tt class="py-line"> <tt class="py-name">other</tt><tt class="py-op">.</tt><tt class="py-name">ndim</tt><tt class="py-op">)</tt> </tt>
<a name="L139"></a><tt class="py-lineno">139</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
<a name="L140"></a><tt class="py-lineno">140</tt> <tt class="py-line"> <tt class="py-name">result</tt> <tt class="py-op">=</tt> <tt class="py-number">0.0</tt> </tt>
<a name="L141"></a><tt class="py-lineno">141</tt> <tt class="py-line"> <tt class="py-name">i</tt><tt class="py-op">,</tt> <tt class="py-name">j</tt> <tt class="py-op">=</tt> <tt class="py-number">0</tt><tt class="py-op">,</tt> <tt class="py-number">0</tt> </tt>
<a name="L142"></a><tt class="py-lineno">142</tt> <tt class="py-line"> <tt class="py-keyword">while</tt> <tt class="py-name">i</tt> <tt class="py-op"><</tt> <tt class="py-name">len</tt><tt class="py-op">(</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">)</tt> <tt class="py-keyword">and</tt> <tt class="py-name">j</tt> <tt class="py-op"><</tt> <tt class="py-name">len</tt><tt class="py-op">(</tt><tt class="py-name">other</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
<a name="L143"></a><tt class="py-lineno">143</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt> <tt class="py-op">==</tt> <tt class="py-name">other</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">[</tt><tt class="py-name">j</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
<a name="L144"></a><tt class="py-lineno">144</tt> <tt class="py-line"> <tt class="py-name">diff</tt> <tt class="py-op">=</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-7" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-7', 'values', 'link-0');">values</a></tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt> <tt class="py-op">-</tt> <tt class="py-name">other</tt><tt class="py-op">.</tt><tt id="link-8" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-8', 'values', 'link-0');">values</a></tt><tt class="py-op">[</tt><tt class="py-name">j</tt><tt class="py-op">]</tt> </tt>
<a name="L145"></a><tt class="py-lineno">145</tt> <tt class="py-line"> <tt class="py-name">result</tt> <tt class="py-op">+=</tt> <tt class="py-name">diff</tt> <tt class="py-op">*</tt> <tt class="py-name">diff</tt> </tt>
<a name="L146"></a><tt class="py-lineno">146</tt> <tt class="py-line"> <tt class="py-name">i</tt> <tt class="py-op">+=</tt> <tt class="py-number">1</tt> </tt>
<a name="L147"></a><tt class="py-lineno">147</tt> <tt class="py-line"> <tt class="py-name">j</tt> <tt class="py-op">+=</tt> <tt class="py-number">1</tt> </tt>
<a name="L148"></a><tt class="py-lineno">148</tt> <tt class="py-line"> <tt class="py-keyword">elif</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt> <tt class="py-op"><</tt> <tt class="py-name">other</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">[</tt><tt class="py-name">j</tt><tt class="py-op">]</tt><tt class="py-op">:</tt> </tt>
<a name="L149"></a><tt class="py-lineno">149</tt> <tt class="py-line"> <tt class="py-name">result</tt> <tt class="py-op">+=</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-9" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-9', 'values', 'link-0');">values</a></tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt> <tt class="py-op">*</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-10" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-10', 'values', 'link-0');">values</a></tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt> </tt>
<a name="L150"></a><tt class="py-lineno">150</tt> <tt class="py-line"> <tt class="py-name">i</tt> <tt class="py-op">+=</tt> <tt class="py-number">1</tt> </tt>
<a name="L151"></a><tt class="py-lineno">151</tt> <tt class="py-line"> <tt class="py-keyword">else</tt><tt class="py-op">:</tt> </tt>
<a name="L152"></a><tt class="py-lineno">152</tt> <tt class="py-line"> <tt class="py-name">result</tt> <tt class="py-op">+=</tt> <tt class="py-name">other</tt><tt class="py-op">.</tt><tt id="link-11" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-11', 'values', 'link-0');">values</a></tt><tt class="py-op">[</tt><tt class="py-name">j</tt><tt class="py-op">]</tt> <tt class="py-op">*</tt> <tt class="py-name">other</tt><tt class="py-op">.</tt><tt id="link-12" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-12', 'values', 'link-0');">values</a></tt><tt class="py-op">[</tt><tt class="py-name">j</tt><tt class="py-op">]</tt> </tt>
<a name="L153"></a><tt class="py-lineno">153</tt> <tt class="py-line"> <tt class="py-name">j</tt> <tt class="py-op">+=</tt> <tt class="py-number">1</tt> </tt>
<a name="L154"></a><tt class="py-lineno">154</tt> <tt class="py-line"> <tt class="py-keyword">while</tt> <tt class="py-name">i</tt> <tt class="py-op"><</tt> <tt class="py-name">len</tt><tt class="py-op">(</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
<a name="L155"></a><tt class="py-lineno">155</tt> <tt class="py-line"> <tt class="py-name">result</tt> <tt class="py-op">+=</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-13" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-13', 'values', 'link-0');">values</a></tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt> <tt class="py-op">*</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-14" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-14', 'values', 'link-0');">values</a></tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt> </tt>
<a name="L156"></a><tt class="py-lineno">156</tt> <tt class="py-line"> <tt class="py-name">i</tt> <tt class="py-op">+=</tt> <tt class="py-number">1</tt> </tt>
<a name="L157"></a><tt class="py-lineno">157</tt> <tt class="py-line"> <tt class="py-keyword">while</tt> <tt class="py-name">j</tt> <tt class="py-op"><</tt> <tt class="py-name">len</tt><tt class="py-op">(</tt><tt class="py-name">other</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
<a name="L158"></a><tt class="py-lineno">158</tt> <tt class="py-line"> <tt class="py-name">result</tt> <tt class="py-op">+=</tt> <tt class="py-name">other</tt><tt class="py-op">.</tt><tt id="link-15" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-15', 'values', 'link-0');">values</a></tt><tt class="py-op">[</tt><tt class="py-name">j</tt><tt class="py-op">]</tt> <tt class="py-op">*</tt> <tt class="py-name">other</tt><tt class="py-op">.</tt><tt id="link-16" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-16', 'values', 'link-0');">values</a></tt><tt class="py-op">[</tt><tt class="py-name">j</tt><tt class="py-op">]</tt> </tt>
<a name="L159"></a><tt class="py-lineno">159</tt> <tt class="py-line"> <tt class="py-name">j</tt> <tt class="py-op">+=</tt> <tt class="py-number">1</tt> </tt>
<a name="L160"></a><tt class="py-lineno">160</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">result</tt> </tt>
</div><a name="L161"></a><tt class="py-lineno">161</tt> <tt class="py-line"> </tt>
<a name="SparseVector.__str__"></a><div id="SparseVector.__str__-def"><a name="L162"></a><tt class="py-lineno">162</tt> <a class="py-toggle" href="#" id="SparseVector.__str__-toggle" onclick="return toggle('SparseVector.__str__');">-</a><tt class="py-line"> <tt class="py-keyword">def</tt> <a class="py-def-name" href="pyspark.mllib.linalg.SparseVector-class.html#__str__">__str__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="SparseVector.__str__-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="SparseVector.__str__-expanded"><a name="L163"></a><tt class="py-lineno">163</tt> <tt class="py-line"> <tt class="py-name">inds</tt> <tt class="py-op">=</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt> </tt>
<a name="L164"></a><tt class="py-lineno">164</tt> <tt class="py-line"> <tt class="py-name">vals</tt> <tt class="py-op">=</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-17" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-17', 'values', 'link-0');">values</a></tt> </tt>
<a name="L165"></a><tt class="py-lineno">165</tt> <tt class="py-line"> <tt class="py-name">entries</tt> <tt class="py-op">=</tt> <tt class="py-string">", "</tt><tt class="py-op">.</tt><tt id="link-18" class="py-name" targets="Method pyspark.rdd.RDD.join()=pyspark.rdd.RDD-class.html#join"><a title="pyspark.rdd.RDD.join" class="py-name" href="#" onclick="return doclink('link-18', 'join', 'link-18');">join</a></tt><tt class="py-op">(</tt><tt class="py-op">[</tt><tt class="py-string">"{0}: {1}"</tt><tt class="py-op">.</tt><tt class="py-name">format</tt><tt class="py-op">(</tt><tt class="py-name">inds</tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt><tt class="py-op">,</tt> <tt class="py-name">vals</tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt><tt class="py-op">)</tt> <tt class="py-keyword">for</tt> <tt class="py-name">i</tt> <tt class="py-keyword">in</tt> <tt class="py-name">xrange</tt><tt class="py-op">(</tt><tt class="py-name">len</tt><tt class="py-op">(</tt><tt class="py-name">inds</tt><tt class="py-op">)</tt><tt class="py-op">)</tt><tt class="py-op">]</tt><tt class="py-op">)</tt> </tt>
<a name="L166"></a><tt class="py-lineno">166</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-string">"["</tt> <tt class="py-op">+</tt> <tt class="py-name">entries</tt> <tt class="py-op">+</tt> <tt class="py-string">"]"</tt> </tt>
</div><a name="L167"></a><tt class="py-lineno">167</tt> <tt class="py-line"> </tt>
<a name="SparseVector.__repr__"></a><div id="SparseVector.__repr__-def"><a name="L168"></a><tt class="py-lineno">168</tt> <a class="py-toggle" href="#" id="SparseVector.__repr__-toggle" onclick="return toggle('SparseVector.__repr__');">-</a><tt class="py-line"> <tt class="py-keyword">def</tt> <a class="py-def-name" href="pyspark.mllib.linalg.SparseVector-class.html#__repr__">__repr__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="SparseVector.__repr__-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="SparseVector.__repr__-expanded"><a name="L169"></a><tt class="py-lineno">169</tt> <tt class="py-line"> <tt class="py-name">inds</tt> <tt class="py-op">=</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt> </tt>
<a name="L170"></a><tt class="py-lineno">170</tt> <tt class="py-line"> <tt class="py-name">vals</tt> <tt class="py-op">=</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-19" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-19', 'values', 'link-0');">values</a></tt> </tt>
<a name="L171"></a><tt class="py-lineno">171</tt> <tt class="py-line"> <tt class="py-name">entries</tt> <tt class="py-op">=</tt> <tt class="py-string">", "</tt><tt class="py-op">.</tt><tt id="link-20" class="py-name"><a title="pyspark.rdd.RDD.join" class="py-name" href="#" onclick="return doclink('link-20', 'join', 'link-18');">join</a></tt><tt class="py-op">(</tt><tt class="py-op">[</tt><tt class="py-string">"{0}: {1}"</tt><tt class="py-op">.</tt><tt class="py-name">format</tt><tt class="py-op">(</tt><tt class="py-name">inds</tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt><tt class="py-op">,</tt> <tt class="py-name">vals</tt><tt class="py-op">[</tt><tt class="py-name">i</tt><tt class="py-op">]</tt><tt class="py-op">)</tt> <tt class="py-keyword">for</tt> <tt class="py-name">i</tt> <tt class="py-keyword">in</tt> <tt class="py-name">xrange</tt><tt class="py-op">(</tt><tt class="py-name">len</tt><tt class="py-op">(</tt><tt class="py-name">inds</tt><tt class="py-op">)</tt><tt class="py-op">)</tt><tt class="py-op">]</tt><tt class="py-op">)</tt> </tt>
<a name="L172"></a><tt class="py-lineno">172</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-string">"SparseVector({0}, {{{1}}})"</tt><tt class="py-op">.</tt><tt class="py-name">format</tt><tt class="py-op">(</tt><tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">size</tt><tt class="py-op">,</tt> <tt class="py-name">entries</tt><tt class="py-op">)</tt> </tt>
</div><a name="L173"></a><tt class="py-lineno">173</tt> <tt class="py-line"> </tt>
<a name="SparseVector.__eq__"></a><div id="SparseVector.__eq__-def"><a name="L174"></a><tt class="py-lineno">174</tt> <a class="py-toggle" href="#" id="SparseVector.__eq__-toggle" onclick="return toggle('SparseVector.__eq__');">-</a><tt class="py-line"> <tt class="py-keyword">def</tt> <a class="py-def-name" href="pyspark.mllib.linalg.SparseVector-class.html#__eq__">__eq__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">other</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="SparseVector.__eq__-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="SparseVector.__eq__-expanded"><a name="L175"></a><tt class="py-lineno">175</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
<a name="L176"></a><tt class="py-lineno">176</tt> <tt class="py-line"><tt class="py-docstring"> Test SparseVectors for equality.</tt> </tt>
<a name="L177"></a><tt class="py-lineno">177</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L178"></a><tt class="py-lineno">178</tt> <tt class="py-line"><tt class="py-docstring"> >>> v1 = SparseVector(4, [(1, 1.0), (3, 5.5)])</tt> </tt>
<a name="L179"></a><tt class="py-lineno">179</tt> <tt class="py-line"><tt class="py-docstring"> >>> v2 = SparseVector(4, [(1, 1.0), (3, 5.5)])</tt> </tt>
<a name="L180"></a><tt class="py-lineno">180</tt> <tt class="py-line"><tt class="py-docstring"> >>> v1 == v2</tt> </tt>
<a name="L181"></a><tt class="py-lineno">181</tt> <tt class="py-line"><tt class="py-docstring"> True</tt> </tt>
<a name="L182"></a><tt class="py-lineno">182</tt> <tt class="py-line"><tt class="py-docstring"> >>> v1 != v2</tt> </tt>
<a name="L183"></a><tt class="py-lineno">183</tt> <tt class="py-line"><tt class="py-docstring"> False</tt> </tt>
<a name="L184"></a><tt class="py-lineno">184</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
<a name="L185"></a><tt class="py-lineno">185</tt> <tt class="py-line"> </tt>
<a name="L186"></a><tt class="py-lineno">186</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-op">(</tt><tt class="py-name">isinstance</tt><tt class="py-op">(</tt><tt class="py-name">other</tt><tt class="py-op">,</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">__class__</tt><tt class="py-op">)</tt> </tt>
<a name="L187"></a><tt class="py-lineno">187</tt> <tt class="py-line"> <tt class="py-keyword">and</tt> <tt class="py-name">other</tt><tt class="py-op">.</tt><tt class="py-name">size</tt> <tt class="py-op">==</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">size</tt> </tt>
<a name="L188"></a><tt class="py-lineno">188</tt> <tt class="py-line"> <tt class="py-keyword">and</tt> <tt class="py-name">array_equal</tt><tt class="py-op">(</tt><tt class="py-name">other</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">,</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">indices</tt><tt class="py-op">)</tt> </tt>
<a name="L189"></a><tt class="py-lineno">189</tt> <tt class="py-line"> <tt class="py-keyword">and</tt> <tt class="py-name">array_equal</tt><tt class="py-op">(</tt><tt class="py-name">other</tt><tt class="py-op">.</tt><tt id="link-21" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-21', 'values', 'link-0');">values</a></tt><tt class="py-op">,</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-22" class="py-name"><a title="pyspark.rdd.RDD.values" class="py-name" href="#" onclick="return doclink('link-22', 'values', 'link-0');">values</a></tt><tt class="py-op">)</tt><tt class="py-op">)</tt> </tt>
</div><a name="L190"></a><tt class="py-lineno">190</tt> <tt class="py-line"> </tt>
<a name="SparseVector.__ne__"></a><div id="SparseVector.__ne__-def"><a name="L191"></a><tt class="py-lineno">191</tt> <a class="py-toggle" href="#" id="SparseVector.__ne__-toggle" onclick="return toggle('SparseVector.__ne__');">-</a><tt class="py-line"> <tt class="py-keyword">def</tt> <a class="py-def-name" href="pyspark.mllib.linalg.SparseVector-class.html#__ne__">__ne__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">other</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="SparseVector.__ne__-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="SparseVector.__ne__-expanded"><a name="L192"></a><tt class="py-lineno">192</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-keyword">not</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-23" class="py-name" targets="Method pyspark.mllib.linalg.SparseVector.__eq__()=pyspark.mllib.linalg.SparseVector-class.html#__eq__"><a title="pyspark.mllib.linalg.SparseVector.__eq__" class="py-name" href="#" onclick="return doclink('link-23', '__eq__', 'link-23');">__eq__</a></tt><tt class="py-op">(</tt><tt class="py-name">other</tt><tt class="py-op">)</tt> </tt>
</div></div><a name="L193"></a><tt class="py-lineno">193</tt> <tt class="py-line"> </tt>
<a name="Vectors"></a><div id="Vectors-def"><a name="L194"></a><tt class="py-lineno">194</tt> <tt class="py-line"> </tt>
<a name="L195"></a><tt class="py-lineno">195</tt> <a class="py-toggle" href="#" id="Vectors-toggle" onclick="return toggle('Vectors');">-</a><tt class="py-line"><tt class="py-keyword">class</tt> <a class="py-def-name" href="pyspark.mllib.linalg.Vectors-class.html">Vectors</a><tt class="py-op">(</tt><tt class="py-base-class">object</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="Vectors-collapsed" style="display:none;" pad="+++" indent="++++"></div><div id="Vectors-expanded"><a name="L196"></a><tt class="py-lineno">196</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
<a name="L197"></a><tt class="py-lineno">197</tt> <tt class="py-line"><tt class="py-docstring"> Factory methods for working with vectors. Note that dense vectors</tt> </tt>
<a name="L198"></a><tt class="py-lineno">198</tt> <tt class="py-line"><tt class="py-docstring"> are simply represented as NumPy array objects, so there is no need</tt> </tt>
<a name="L199"></a><tt class="py-lineno">199</tt> <tt class="py-line"><tt class="py-docstring"> to covert them for use in MLlib. For sparse vectors, the factory</tt> </tt>
<a name="L200"></a><tt class="py-lineno">200</tt> <tt class="py-line"><tt class="py-docstring"> methods in this class create an MLlib-compatible type, or users</tt> </tt>
<a name="L201"></a><tt class="py-lineno">201</tt> <tt class="py-line"><tt class="py-docstring"> can pass in SciPy's C{scipy.sparse} column vectors.</tt> </tt>
<a name="L202"></a><tt class="py-lineno">202</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
<a name="L203"></a><tt class="py-lineno">203</tt> <tt class="py-line"> </tt>
<a name="L204"></a><tt class="py-lineno">204</tt> <tt class="py-line"> <tt class="py-decorator">@</tt><tt class="py-decorator">staticmethod</tt> </tt>
<a name="Vectors.sparse"></a><div id="Vectors.sparse-def"><a name="L205"></a><tt class="py-lineno">205</tt> <a class="py-toggle" href="#" id="Vectors.sparse-toggle" onclick="return toggle('Vectors.sparse');">-</a><tt class="py-line"> <tt class="py-keyword">def</tt> <a class="py-def-name" href="pyspark.mllib.linalg.Vectors-class.html#sparse">sparse</a><tt class="py-op">(</tt><tt class="py-param">size</tt><tt class="py-op">,</tt> <tt class="py-op">*</tt><tt class="py-param">args</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="Vectors.sparse-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="Vectors.sparse-expanded"><a name="L206"></a><tt class="py-lineno">206</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
<a name="L207"></a><tt class="py-lineno">207</tt> <tt class="py-line"><tt class="py-docstring"> Create a sparse vector, using either a dictionary, a list of</tt> </tt>
<a name="L208"></a><tt class="py-lineno">208</tt> <tt class="py-line"><tt class="py-docstring"> (index, value) pairs, or two separate arrays of indices and</tt> </tt>
<a name="L209"></a><tt class="py-lineno">209</tt> <tt class="py-line"><tt class="py-docstring"> values (sorted by index).</tt> </tt>
<a name="L210"></a><tt class="py-lineno">210</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L211"></a><tt class="py-lineno">211</tt> <tt class="py-line"><tt class="py-docstring"> @param size: Size of the vector.</tt> </tt>
<a name="L212"></a><tt class="py-lineno">212</tt> <tt class="py-line"><tt class="py-docstring"> @param args: Non-zero entries, as a dictionary, list of tupes,</tt> </tt>
<a name="L213"></a><tt class="py-lineno">213</tt> <tt class="py-line"><tt class="py-docstring"> or two sorted lists containing indices and values.</tt> </tt>
<a name="L214"></a><tt class="py-lineno">214</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L215"></a><tt class="py-lineno">215</tt> <tt class="py-line"><tt class="py-docstring"> >>> print Vectors.sparse(4, {1: 1.0, 3: 5.5})</tt> </tt>
<a name="L216"></a><tt class="py-lineno">216</tt> <tt class="py-line"><tt class="py-docstring"> [1: 1.0, 3: 5.5]</tt> </tt>
<a name="L217"></a><tt class="py-lineno">217</tt> <tt class="py-line"><tt class="py-docstring"> >>> print Vectors.sparse(4, [(1, 1.0), (3, 5.5)])</tt> </tt>
<a name="L218"></a><tt class="py-lineno">218</tt> <tt class="py-line"><tt class="py-docstring"> [1: 1.0, 3: 5.5]</tt> </tt>
<a name="L219"></a><tt class="py-lineno">219</tt> <tt class="py-line"><tt class="py-docstring"> >>> print Vectors.sparse(4, [1, 3], [1.0, 5.5])</tt> </tt>
<a name="L220"></a><tt class="py-lineno">220</tt> <tt class="py-line"><tt class="py-docstring"> [1: 1.0, 3: 5.5]</tt> </tt>
<a name="L221"></a><tt class="py-lineno">221</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
<a name="L222"></a><tt class="py-lineno">222</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt id="link-24" class="py-name" targets="Class pyspark.mllib.linalg.SparseVector=pyspark.mllib.linalg.SparseVector-class.html"><a title="pyspark.mllib.linalg.SparseVector" class="py-name" href="#" onclick="return doclink('link-24', 'SparseVector', 'link-24');">SparseVector</a></tt><tt class="py-op">(</tt><tt class="py-name">size</tt><tt class="py-op">,</tt> <tt class="py-op">*</tt><tt class="py-name">args</tt><tt class="py-op">)</tt> </tt>
</div><a name="L223"></a><tt class="py-lineno">223</tt> <tt class="py-line"> </tt>
<a name="L224"></a><tt class="py-lineno">224</tt> <tt class="py-line"> <tt class="py-decorator">@</tt><tt class="py-decorator">staticmethod</tt> </tt>
<a name="Vectors.dense"></a><div id="Vectors.dense-def"><a name="L225"></a><tt class="py-lineno">225</tt> <a class="py-toggle" href="#" id="Vectors.dense-toggle" onclick="return toggle('Vectors.dense');">-</a><tt class="py-line"> <tt class="py-keyword">def</tt> <a class="py-def-name" href="pyspark.mllib.linalg.Vectors-class.html#dense">dense</a><tt class="py-op">(</tt><tt class="py-param">elements</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="Vectors.dense-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="Vectors.dense-expanded"><a name="L226"></a><tt class="py-lineno">226</tt> <tt class="py-line"> <tt class="py-docstring">"""</tt> </tt>
<a name="L227"></a><tt class="py-lineno">227</tt> <tt class="py-line"><tt class="py-docstring"> Create a dense vector of 64-bit floats from a Python list. Always</tt> </tt>
<a name="L228"></a><tt class="py-lineno">228</tt> <tt class="py-line"><tt class="py-docstring"> returns a NumPy array.</tt> </tt>
<a name="L229"></a><tt class="py-lineno">229</tt> <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L230"></a><tt class="py-lineno">230</tt> <tt class="py-line"><tt class="py-docstring"> >>> Vectors.dense([1, 2, 3])</tt> </tt>
<a name="L231"></a><tt class="py-lineno">231</tt> <tt class="py-line"><tt class="py-docstring"> array([ 1., 2., 3.])</tt> </tt>
<a name="L232"></a><tt class="py-lineno">232</tt> <tt class="py-line"><tt class="py-docstring"> """</tt> </tt>
<a name="L233"></a><tt class="py-lineno">233</tt> <tt class="py-line"> <tt class="py-keyword">return</tt> <tt class="py-name">array</tt><tt class="py-op">(</tt><tt class="py-name">elements</tt><tt class="py-op">,</tt> <tt class="py-name">dtype</tt><tt class="py-op">=</tt><tt class="py-name">float64</tt><tt class="py-op">)</tt> </tt>
</div></div><a name="L234"></a><tt class="py-lineno">234</tt> <tt class="py-line"> </tt>
<a name="_test"></a><div id="_test-def"><a name="L235"></a><tt class="py-lineno">235</tt> <tt class="py-line"> </tt>
<a name="L236"></a><tt class="py-lineno">236</tt> <a class="py-toggle" href="#" id="_test-toggle" onclick="return toggle('_test');">-</a><tt class="py-line"><tt class="py-keyword">def</tt> <a class="py-def-name" href="pyspark.mllib.linalg-module.html#_test">_test</a><tt class="py-op">(</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="_test-collapsed" style="display:none;" pad="+++" indent="++++"></div><div id="_test-expanded"><a name="L237"></a><tt class="py-lineno">237</tt> <tt class="py-line"> <tt class="py-keyword">import</tt> <tt class="py-name">doctest</tt> </tt>
<a name="L238"></a><tt class="py-lineno">238</tt> <tt class="py-line"> <tt class="py-op">(</tt><tt class="py-name">failure_count</tt><tt class="py-op">,</tt> <tt class="py-name">test_count</tt><tt class="py-op">)</tt> <tt class="py-op">=</tt> <tt class="py-name">doctest</tt><tt class="py-op">.</tt><tt class="py-name">testmod</tt><tt class="py-op">(</tt><tt class="py-name">optionflags</tt><tt class="py-op">=</tt><tt class="py-name">doctest</tt><tt class="py-op">.</tt><tt class="py-name">ELLIPSIS</tt><tt class="py-op">)</tt> </tt>
<a name="L239"></a><tt class="py-lineno">239</tt> <tt class="py-line"> <tt class="py-keyword">if</tt> <tt class="py-name">failure_count</tt><tt class="py-op">:</tt> </tt>
<a name="L240"></a><tt class="py-lineno">240</tt> <tt class="py-line"> <tt class="py-name">exit</tt><tt class="py-op">(</tt><tt class="py-op">-</tt><tt class="py-number">1</tt><tt class="py-op">)</tt> </tt>
</div><a name="L241"></a><tt class="py-lineno">241</tt> <tt class="py-line"> </tt>
<a name="L242"></a><tt class="py-lineno">242</tt> <tt class="py-line"><tt class="py-keyword">if</tt> <tt class="py-name">__name__</tt> <tt class="py-op">==</tt> <tt class="py-string">"__main__"</tt><tt class="py-op">:</tt> </tt>
<a name="L243"></a><tt class="py-lineno">243</tt> <tt class="py-line"> <tt class="py-name">_test</tt><tt class="py-op">(</tt><tt class="py-op">)</tt> </tt>
<a name="L244"></a><tt class="py-lineno">244</tt> <tt class="py-line"> </tt><script type="text/javascript">
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