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From l..@apache.org
Subject svn commit: r948061 [10/22] - in /websites/production/commons/content/proper/commons-math: ./ xref/ xref/org/apache/commons/math3/ xref/org/apache/commons/math3/analysis/ xref/org/apache/commons/math3/analysis/differentiation/ xref/org/apache/commons/m...
Date Fri, 17 Apr 2015 19:17:18 GMT
Modified: websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/oned/NeuronString.html
==============================================================================
--- websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/oned/NeuronString.html (original)
+++ websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/oned/NeuronString.html Fri Apr 17 19:17:13 2015
@@ -39,209 +39,211 @@
 <a class="jxr_linenumber" name="L31" href="#L31">31</a>  <em class="jxr_javadoccomment"> * @since 3.3</em>
 <a class="jxr_linenumber" name="L32" href="#L32">32</a>  <em class="jxr_javadoccomment"> */</em>
 <a class="jxr_linenumber" name="L33" href="#L33">33</a>  <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/oned/NeuronString.html">NeuronString</a> <strong class="jxr_keyword">implements</strong> Serializable {
-<a class="jxr_linenumber" name="L34" href="#L34">34</a>      <em class="jxr_javadoccomment">/** Underlying network. */</em>
-<a class="jxr_linenumber" name="L35" href="#L35">35</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/Network.html">Network</a> network;
-<a class="jxr_linenumber" name="L36" href="#L36">36</a>      <em class="jxr_javadoccomment">/** Number of neurons. */</em>
-<a class="jxr_linenumber" name="L37" href="#L37">37</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> size;
-<a class="jxr_linenumber" name="L38" href="#L38">38</a>      <em class="jxr_javadoccomment">/** Wrap. */</em>
-<a class="jxr_linenumber" name="L39" href="#L39">39</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">boolean</strong> wrap;
-<a class="jxr_linenumber" name="L40" href="#L40">40</a>  
-<a class="jxr_linenumber" name="L41" href="#L41">41</a>      <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L42" href="#L42">42</a>  <em class="jxr_javadoccomment">     * Mapping of the 1D coordinate to the neuron identifiers</em>
-<a class="jxr_linenumber" name="L43" href="#L43">43</a>  <em class="jxr_javadoccomment">     * (attributed by the {@link #network} instance).</em>
-<a class="jxr_linenumber" name="L44" href="#L44">44</a>  <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L45" href="#L45">45</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">long</strong>[] identifiers;
-<a class="jxr_linenumber" name="L46" href="#L46">46</a>  
-<a class="jxr_linenumber" name="L47" href="#L47">47</a>      <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L48" href="#L48">48</a>  <em class="jxr_javadoccomment">     * Constructor with restricted access, solely used for deserialization.</em>
-<a class="jxr_linenumber" name="L49" href="#L49">49</a>  <em class="jxr_javadoccomment">     *</em>
-<a class="jxr_linenumber" name="L50" href="#L50">50</a>  <em class="jxr_javadoccomment">     * @param wrap Whether to wrap the dimension (i.e the first and last</em>
-<a class="jxr_linenumber" name="L51" href="#L51">51</a>  <em class="jxr_javadoccomment">     * neurons will be linked together).</em>
-<a class="jxr_linenumber" name="L52" href="#L52">52</a>  <em class="jxr_javadoccomment">     * @param featuresList Arrays that will initialize the features sets of</em>
-<a class="jxr_linenumber" name="L53" href="#L53">53</a>  <em class="jxr_javadoccomment">     * the network's neurons.</em>
-<a class="jxr_linenumber" name="L54" href="#L54">54</a>  <em class="jxr_javadoccomment">     * @throws NumberIsTooSmallException if {@code num &lt; 2}.</em>
-<a class="jxr_linenumber" name="L55" href="#L55">55</a>  <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L56" href="#L56">56</a>      <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/oned/NeuronString.html">NeuronString</a>(<strong class="jxr_keyword">boolean</strong> wrap,
-<a class="jxr_linenumber" name="L57" href="#L57">57</a>                   <strong class="jxr_keyword">double</strong>[][] featuresList) {
-<a class="jxr_linenumber" name="L58" href="#L58">58</a>          size = featuresList.length;
-<a class="jxr_linenumber" name="L59" href="#L59">59</a>  
-<a class="jxr_linenumber" name="L60" href="#L60">60</a>          <strong class="jxr_keyword">if</strong> (size &lt; 2) {
-<a class="jxr_linenumber" name="L61" href="#L61">61</a>              <strong class="jxr_keyword">throw</strong> <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/exception/NumberIsTooSmallException.html">NumberIsTooSmallException</a>(size, 2, <strong class="jxr_keyword">true</strong>);
-<a class="jxr_linenumber" name="L62" href="#L62">62</a>          }
-<a class="jxr_linenumber" name="L63" href="#L63">63</a>  
-<a class="jxr_linenumber" name="L64" href="#L64">64</a>          <strong class="jxr_keyword">this</strong>.wrap = wrap;
+<a class="jxr_linenumber" name="L34" href="#L34">34</a>      <em class="jxr_javadoccomment">/** Serial version ID */</em>
+<a class="jxr_linenumber" name="L35" href="#L35">35</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">long</strong> serialVersionUID = 1L;
+<a class="jxr_linenumber" name="L36" href="#L36">36</a>      <em class="jxr_javadoccomment">/** Underlying network. */</em>
+<a class="jxr_linenumber" name="L37" href="#L37">37</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/Network.html">Network</a> network;
+<a class="jxr_linenumber" name="L38" href="#L38">38</a>      <em class="jxr_javadoccomment">/** Number of neurons. */</em>
+<a class="jxr_linenumber" name="L39" href="#L39">39</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> size;
+<a class="jxr_linenumber" name="L40" href="#L40">40</a>      <em class="jxr_javadoccomment">/** Wrap. */</em>
+<a class="jxr_linenumber" name="L41" href="#L41">41</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">boolean</strong> wrap;
+<a class="jxr_linenumber" name="L42" href="#L42">42</a>  
+<a class="jxr_linenumber" name="L43" href="#L43">43</a>      <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L44" href="#L44">44</a>  <em class="jxr_javadoccomment">     * Mapping of the 1D coordinate to the neuron identifiers</em>
+<a class="jxr_linenumber" name="L45" href="#L45">45</a>  <em class="jxr_javadoccomment">     * (attributed by the {@link #network} instance).</em>
+<a class="jxr_linenumber" name="L46" href="#L46">46</a>  <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L47" href="#L47">47</a>      <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">long</strong>[] identifiers;
+<a class="jxr_linenumber" name="L48" href="#L48">48</a>  
+<a class="jxr_linenumber" name="L49" href="#L49">49</a>      <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L50" href="#L50">50</a>  <em class="jxr_javadoccomment">     * Constructor with restricted access, solely used for deserialization.</em>
+<a class="jxr_linenumber" name="L51" href="#L51">51</a>  <em class="jxr_javadoccomment">     *</em>
+<a class="jxr_linenumber" name="L52" href="#L52">52</a>  <em class="jxr_javadoccomment">     * @param wrap Whether to wrap the dimension (i.e the first and last</em>
+<a class="jxr_linenumber" name="L53" href="#L53">53</a>  <em class="jxr_javadoccomment">     * neurons will be linked together).</em>
+<a class="jxr_linenumber" name="L54" href="#L54">54</a>  <em class="jxr_javadoccomment">     * @param featuresList Arrays that will initialize the features sets of</em>
+<a class="jxr_linenumber" name="L55" href="#L55">55</a>  <em class="jxr_javadoccomment">     * the network's neurons.</em>
+<a class="jxr_linenumber" name="L56" href="#L56">56</a>  <em class="jxr_javadoccomment">     * @throws NumberIsTooSmallException if {@code num &lt; 2}.</em>
+<a class="jxr_linenumber" name="L57" href="#L57">57</a>  <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L58" href="#L58">58</a>      <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/oned/NeuronString.html">NeuronString</a>(<strong class="jxr_keyword">boolean</strong> wrap,
+<a class="jxr_linenumber" name="L59" href="#L59">59</a>                   <strong class="jxr_keyword">double</strong>[][] featuresList) {
+<a class="jxr_linenumber" name="L60" href="#L60">60</a>          size = featuresList.length;
+<a class="jxr_linenumber" name="L61" href="#L61">61</a>  
+<a class="jxr_linenumber" name="L62" href="#L62">62</a>          <strong class="jxr_keyword">if</strong> (size &lt; 2) {
+<a class="jxr_linenumber" name="L63" href="#L63">63</a>              <strong class="jxr_keyword">throw</strong> <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/exception/NumberIsTooSmallException.html">NumberIsTooSmallException</a>(size, 2, <strong class="jxr_keyword">true</strong>);
+<a class="jxr_linenumber" name="L64" href="#L64">64</a>          }
 <a class="jxr_linenumber" name="L65" href="#L65">65</a>  
-<a class="jxr_linenumber" name="L66" href="#L66">66</a>          <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> fLen = featuresList[0].length;
-<a class="jxr_linenumber" name="L67" href="#L67">67</a>          network = <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/Network.html">Network</a>(0, fLen);
-<a class="jxr_linenumber" name="L68" href="#L68">68</a>          identifiers = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">long</strong>[size];
-<a class="jxr_linenumber" name="L69" href="#L69">69</a>  
-<a class="jxr_linenumber" name="L70" href="#L70">70</a>          <em class="jxr_comment">// Add neurons.</em>
-<a class="jxr_linenumber" name="L71" href="#L71">71</a>          <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; size; i++) {
-<a class="jxr_linenumber" name="L72" href="#L72">72</a>              identifiers[i] = network.createNeuron(featuresList[i]);
-<a class="jxr_linenumber" name="L73" href="#L73">73</a>          }
-<a class="jxr_linenumber" name="L74" href="#L74">74</a>  
-<a class="jxr_linenumber" name="L75" href="#L75">75</a>          <em class="jxr_comment">// Add links.</em>
-<a class="jxr_linenumber" name="L76" href="#L76">76</a>          createLinks();
-<a class="jxr_linenumber" name="L77" href="#L77">77</a>      }
-<a class="jxr_linenumber" name="L78" href="#L78">78</a>  
-<a class="jxr_linenumber" name="L79" href="#L79">79</a>      <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L80" href="#L80">80</a>  <em class="jxr_javadoccomment">     * Creates a one-dimensional network:</em>
-<a class="jxr_linenumber" name="L81" href="#L81">81</a>  <em class="jxr_javadoccomment">     * Each neuron not located on the border of the mesh has two</em>
-<a class="jxr_linenumber" name="L82" href="#L82">82</a>  <em class="jxr_javadoccomment">     * neurons linked to it.</em>
-<a class="jxr_linenumber" name="L83" href="#L83">83</a>  <em class="jxr_javadoccomment">     * &lt;br/&gt;</em>
-<a class="jxr_linenumber" name="L84" href="#L84">84</a>  <em class="jxr_javadoccomment">     * The links are bi-directional.</em>
-<a class="jxr_linenumber" name="L85" href="#L85">85</a>  <em class="jxr_javadoccomment">     * Neurons created successively are neighbours (i.e. there are</em>
-<a class="jxr_linenumber" name="L86" href="#L86">86</a>  <em class="jxr_javadoccomment">     * links between them).</em>
-<a class="jxr_linenumber" name="L87" href="#L87">87</a>  <em class="jxr_javadoccomment">     * &lt;br/&gt;</em>
-<a class="jxr_linenumber" name="L88" href="#L88">88</a>  <em class="jxr_javadoccomment">     * The topology of the network can also be a circle (if the</em>
-<a class="jxr_linenumber" name="L89" href="#L89">89</a>  <em class="jxr_javadoccomment">     * dimension is wrapped).</em>
-<a class="jxr_linenumber" name="L90" href="#L90">90</a>  <em class="jxr_javadoccomment">     *</em>
-<a class="jxr_linenumber" name="L91" href="#L91">91</a>  <em class="jxr_javadoccomment">     * @param num Number of neurons.</em>
-<a class="jxr_linenumber" name="L92" href="#L92">92</a>  <em class="jxr_javadoccomment">     * @param wrap Whether to wrap the dimension (i.e the first and last</em>
-<a class="jxr_linenumber" name="L93" href="#L93">93</a>  <em class="jxr_javadoccomment">     * neurons will be linked together).</em>
-<a class="jxr_linenumber" name="L94" href="#L94">94</a>  <em class="jxr_javadoccomment">     * @param featureInit Arrays that will initialize the features sets of</em>
-<a class="jxr_linenumber" name="L95" href="#L95">95</a>  <em class="jxr_javadoccomment">     * the network's neurons.</em>
-<a class="jxr_linenumber" name="L96" href="#L96">96</a>  <em class="jxr_javadoccomment">     * @throws NumberIsTooSmallException if {@code num &lt; 2}.</em>
-<a class="jxr_linenumber" name="L97" href="#L97">97</a>  <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L98" href="#L98">98</a>      <strong class="jxr_keyword">public</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/oned/NeuronString.html">NeuronString</a>(<strong class="jxr_keyword">int</strong> num,
-<a class="jxr_linenumber" name="L99" href="#L99">99</a>                          <strong class="jxr_keyword">boolean</strong> wrap,
-<a class="jxr_linenumber" name="L100" href="#L100">100</a>                         <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/FeatureInitializer.html">FeatureInitializer</a>[] featureInit) {
-<a class="jxr_linenumber" name="L101" href="#L101">101</a>         <strong class="jxr_keyword">if</strong> (num &lt; 2) {
-<a class="jxr_linenumber" name="L102" href="#L102">102</a>             <strong class="jxr_keyword">throw</strong> <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/exception/NumberIsTooSmallException.html">NumberIsTooSmallException</a>(num, 2, <strong class="jxr_keyword">true</strong>);
-<a class="jxr_linenumber" name="L103" href="#L103">103</a>         }
-<a class="jxr_linenumber" name="L104" href="#L104">104</a> 
-<a class="jxr_linenumber" name="L105" href="#L105">105</a>         size = num;
-<a class="jxr_linenumber" name="L106" href="#L106">106</a>         <strong class="jxr_keyword">this</strong>.wrap = wrap;
-<a class="jxr_linenumber" name="L107" href="#L107">107</a>         identifiers = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">long</strong>[num];
-<a class="jxr_linenumber" name="L108" href="#L108">108</a> 
-<a class="jxr_linenumber" name="L109" href="#L109">109</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> fLen = featureInit.length;
-<a class="jxr_linenumber" name="L110" href="#L110">110</a>         network = <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/Network.html">Network</a>(0, fLen);
-<a class="jxr_linenumber" name="L111" href="#L111">111</a> 
-<a class="jxr_linenumber" name="L112" href="#L112">112</a>         <em class="jxr_comment">// Add neurons.</em>
-<a class="jxr_linenumber" name="L113" href="#L113">113</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; num; i++) {
-<a class="jxr_linenumber" name="L114" href="#L114">114</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] features = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[fLen];
-<a class="jxr_linenumber" name="L115" href="#L115">115</a>             <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> fIndex = 0; fIndex &lt; fLen; fIndex++) {
-<a class="jxr_linenumber" name="L116" href="#L116">116</a>                 features[fIndex] = featureInit[fIndex].value();
-<a class="jxr_linenumber" name="L117" href="#L117">117</a>             }
-<a class="jxr_linenumber" name="L118" href="#L118">118</a>             identifiers[i] = network.createNeuron(features);
-<a class="jxr_linenumber" name="L119" href="#L119">119</a>         }
-<a class="jxr_linenumber" name="L120" href="#L120">120</a> 
-<a class="jxr_linenumber" name="L121" href="#L121">121</a>         <em class="jxr_comment">// Add links.</em>
-<a class="jxr_linenumber" name="L122" href="#L122">122</a>         createLinks();
-<a class="jxr_linenumber" name="L123" href="#L123">123</a>     }
-<a class="jxr_linenumber" name="L124" href="#L124">124</a> 
-<a class="jxr_linenumber" name="L125" href="#L125">125</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L126" href="#L126">126</a> <em class="jxr_javadoccomment">     * Retrieves the underlying network.</em>
-<a class="jxr_linenumber" name="L127" href="#L127">127</a> <em class="jxr_javadoccomment">     * A reference is returned (enabling, for example, the network to be</em>
-<a class="jxr_linenumber" name="L128" href="#L128">128</a> <em class="jxr_javadoccomment">     * trained).</em>
-<a class="jxr_linenumber" name="L129" href="#L129">129</a> <em class="jxr_javadoccomment">     * This also implies that calling methods that modify the {@link Network}</em>
-<a class="jxr_linenumber" name="L130" href="#L130">130</a> <em class="jxr_javadoccomment">     * topology may cause this class to become inconsistent.</em>
-<a class="jxr_linenumber" name="L131" href="#L131">131</a> <em class="jxr_javadoccomment">     *</em>
-<a class="jxr_linenumber" name="L132" href="#L132">132</a> <em class="jxr_javadoccomment">     * @return the network.</em>
-<a class="jxr_linenumber" name="L133" href="#L133">133</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L134" href="#L134">134</a>     <strong class="jxr_keyword">public</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/Network.html">Network</a> getNetwork() {
-<a class="jxr_linenumber" name="L135" href="#L135">135</a>         <strong class="jxr_keyword">return</strong> network;
-<a class="jxr_linenumber" name="L136" href="#L136">136</a>     }
-<a class="jxr_linenumber" name="L137" href="#L137">137</a> 
-<a class="jxr_linenumber" name="L138" href="#L138">138</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L139" href="#L139">139</a> <em class="jxr_javadoccomment">     * Gets the number of neurons.</em>
-<a class="jxr_linenumber" name="L140" href="#L140">140</a> <em class="jxr_javadoccomment">     *</em>
-<a class="jxr_linenumber" name="L141" href="#L141">141</a> <em class="jxr_javadoccomment">     * @return the number of neurons.</em>
-<a class="jxr_linenumber" name="L142" href="#L142">142</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L143" href="#L143">143</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">int</strong> getSize() {
-<a class="jxr_linenumber" name="L144" href="#L144">144</a>         <strong class="jxr_keyword">return</strong> size;
-<a class="jxr_linenumber" name="L145" href="#L145">145</a>     }
-<a class="jxr_linenumber" name="L146" href="#L146">146</a> 
-<a class="jxr_linenumber" name="L147" href="#L147">147</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L148" href="#L148">148</a> <em class="jxr_javadoccomment">     * Retrieves the features set from the neuron at location</em>
-<a class="jxr_linenumber" name="L149" href="#L149">149</a> <em class="jxr_javadoccomment">     * {@code i} in the map.</em>
-<a class="jxr_linenumber" name="L150" href="#L150">150</a> <em class="jxr_javadoccomment">     *</em>
-<a class="jxr_linenumber" name="L151" href="#L151">151</a> <em class="jxr_javadoccomment">     * @param i Neuron index.</em>
-<a class="jxr_linenumber" name="L152" href="#L152">152</a> <em class="jxr_javadoccomment">     * @return the features of the neuron at index {@code i}.</em>
-<a class="jxr_linenumber" name="L153" href="#L153">153</a> <em class="jxr_javadoccomment">     * @throws OutOfRangeException if {@code i} is out of range.</em>
-<a class="jxr_linenumber" name="L154" href="#L154">154</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L155" href="#L155">155</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] getFeatures(<strong class="jxr_keyword">int</strong> i) {
-<a class="jxr_linenumber" name="L156" href="#L156">156</a>         <strong class="jxr_keyword">if</strong> (i &lt; 0 ||
-<a class="jxr_linenumber" name="L157" href="#L157">157</a>             i &gt;= size) {
-<a class="jxr_linenumber" name="L158" href="#L158">158</a>             <strong class="jxr_keyword">throw</strong> <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/exception/OutOfRangeException.html">OutOfRangeException</a>(i, 0, size - 1);
-<a class="jxr_linenumber" name="L159" href="#L159">159</a>         }
-<a class="jxr_linenumber" name="L160" href="#L160">160</a> 
-<a class="jxr_linenumber" name="L161" href="#L161">161</a>         <strong class="jxr_keyword">return</strong> network.getNeuron(identifiers[i]).getFeatures();
-<a class="jxr_linenumber" name="L162" href="#L162">162</a>     }
-<a class="jxr_linenumber" name="L163" href="#L163">163</a> 
-<a class="jxr_linenumber" name="L164" href="#L164">164</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L165" href="#L165">165</a> <em class="jxr_javadoccomment">     * Creates the neighbour relationships between neurons.</em>
-<a class="jxr_linenumber" name="L166" href="#L166">166</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L167" href="#L167">167</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">void</strong> createLinks() {
-<a class="jxr_linenumber" name="L168" href="#L168">168</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; size - 1; i++) {
-<a class="jxr_linenumber" name="L169" href="#L169">169</a>             network.addLink(network.getNeuron(i), network.getNeuron(i + 1));
-<a class="jxr_linenumber" name="L170" href="#L170">170</a>         }
-<a class="jxr_linenumber" name="L171" href="#L171">171</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = size - 1; i &gt; 0; i--) {
-<a class="jxr_linenumber" name="L172" href="#L172">172</a>             network.addLink(network.getNeuron(i), network.getNeuron(i - 1));
-<a class="jxr_linenumber" name="L173" href="#L173">173</a>         }
-<a class="jxr_linenumber" name="L174" href="#L174">174</a>         <strong class="jxr_keyword">if</strong> (wrap) {
-<a class="jxr_linenumber" name="L175" href="#L175">175</a>             network.addLink(network.getNeuron(0), network.getNeuron(size - 1));
-<a class="jxr_linenumber" name="L176" href="#L176">176</a>             network.addLink(network.getNeuron(size - 1), network.getNeuron(0));
-<a class="jxr_linenumber" name="L177" href="#L177">177</a>         }
-<a class="jxr_linenumber" name="L178" href="#L178">178</a>     }
-<a class="jxr_linenumber" name="L179" href="#L179">179</a> 
-<a class="jxr_linenumber" name="L180" href="#L180">180</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L181" href="#L181">181</a> <em class="jxr_javadoccomment">     * Prevents proxy bypass.</em>
-<a class="jxr_linenumber" name="L182" href="#L182">182</a> <em class="jxr_javadoccomment">     *</em>
-<a class="jxr_linenumber" name="L183" href="#L183">183</a> <em class="jxr_javadoccomment">     * @param in Input stream.</em>
-<a class="jxr_linenumber" name="L184" href="#L184">184</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L185" href="#L185">185</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">void</strong> readObject(ObjectInputStream in) {
-<a class="jxr_linenumber" name="L186" href="#L186">186</a>         <strong class="jxr_keyword">throw</strong> <strong class="jxr_keyword">new</strong> IllegalStateException();
-<a class="jxr_linenumber" name="L187" href="#L187">187</a>     }
-<a class="jxr_linenumber" name="L188" href="#L188">188</a> 
-<a class="jxr_linenumber" name="L189" href="#L189">189</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L190" href="#L190">190</a> <em class="jxr_javadoccomment">     * Custom serialization.</em>
-<a class="jxr_linenumber" name="L191" href="#L191">191</a> <em class="jxr_javadoccomment">     *</em>
-<a class="jxr_linenumber" name="L192" href="#L192">192</a> <em class="jxr_javadoccomment">     * @return the proxy instance that will be actually serialized.</em>
-<a class="jxr_linenumber" name="L193" href="#L193">193</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L194" href="#L194">194</a>     <strong class="jxr_keyword">private</strong> Object writeReplace() {
-<a class="jxr_linenumber" name="L195" href="#L195">195</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[][] featuresList = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[size][];
-<a class="jxr_linenumber" name="L196" href="#L196">196</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; size; i++) {
-<a class="jxr_linenumber" name="L197" href="#L197">197</a>             featuresList[i] = getFeatures(i);
-<a class="jxr_linenumber" name="L198" href="#L198">198</a>         }
-<a class="jxr_linenumber" name="L199" href="#L199">199</a> 
-<a class="jxr_linenumber" name="L200" href="#L200">200</a>         <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/Neuron.html">SerializationProxy</a>(wrap,
-<a class="jxr_linenumber" name="L201" href="#L201">201</a>                                       featuresList);
-<a class="jxr_linenumber" name="L202" href="#L202">202</a>     }
-<a class="jxr_linenumber" name="L203" href="#L203">203</a> 
-<a class="jxr_linenumber" name="L204" href="#L204">204</a>     <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L205" href="#L205">205</a> <em class="jxr_javadoccomment">     * Serialization.</em>
-<a class="jxr_linenumber" name="L206" href="#L206">206</a> <em class="jxr_javadoccomment">     */</em>
-<a class="jxr_linenumber" name="L207" href="#L207">207</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/Neuron.html">SerializationProxy</a> <strong class="jxr_keyword">implements</strong> Serializable {
-<a class="jxr_linenumber" name="L208" href="#L208">208</a>         <em class="jxr_javadoccomment">/** Serializable. */</em>
-<a class="jxr_linenumber" name="L209" href="#L209">209</a>         <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">long</strong> serialVersionUID = 20130226L;
-<a class="jxr_linenumber" name="L210" href="#L210">210</a>         <em class="jxr_javadoccomment">/** Wrap. */</em>
-<a class="jxr_linenumber" name="L211" href="#L211">211</a>         <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">boolean</strong> wrap;
-<a class="jxr_linenumber" name="L212" href="#L212">212</a>         <em class="jxr_javadoccomment">/** Neurons' features. */</em>
-<a class="jxr_linenumber" name="L213" href="#L213">213</a>         <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[][] featuresList;
-<a class="jxr_linenumber" name="L214" href="#L214">214</a> 
-<a class="jxr_linenumber" name="L215" href="#L215">215</a>         <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L216" href="#L216">216</a> <em class="jxr_javadoccomment">         * @param wrap Whether the dimension is wrapped.</em>
-<a class="jxr_linenumber" name="L217" href="#L217">217</a> <em class="jxr_javadoccomment">         * @param featuresList List of neurons features.</em>
-<a class="jxr_linenumber" name="L218" href="#L218">218</a> <em class="jxr_javadoccomment">         * {@code neuronList}.</em>
-<a class="jxr_linenumber" name="L219" href="#L219">219</a> <em class="jxr_javadoccomment">         */</em>
-<a class="jxr_linenumber" name="L220" href="#L220">220</a>         <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/Neuron.html">SerializationProxy</a>(<strong class="jxr_keyword">boolean</strong> wrap,
-<a class="jxr_linenumber" name="L221" href="#L221">221</a>                            <strong class="jxr_keyword">double</strong>[][] featuresList) {
-<a class="jxr_linenumber" name="L222" href="#L222">222</a>             <strong class="jxr_keyword">this</strong>.wrap = wrap;
-<a class="jxr_linenumber" name="L223" href="#L223">223</a>             <strong class="jxr_keyword">this</strong>.featuresList = featuresList;
-<a class="jxr_linenumber" name="L224" href="#L224">224</a>         }
-<a class="jxr_linenumber" name="L225" href="#L225">225</a> 
-<a class="jxr_linenumber" name="L226" href="#L226">226</a>         <em class="jxr_javadoccomment">/**</em>
-<a class="jxr_linenumber" name="L227" href="#L227">227</a> <em class="jxr_javadoccomment">         * Custom serialization.</em>
-<a class="jxr_linenumber" name="L228" href="#L228">228</a> <em class="jxr_javadoccomment">         *</em>
-<a class="jxr_linenumber" name="L229" href="#L229">229</a> <em class="jxr_javadoccomment">         * @return the {@link Neuron} for which this instance is the proxy.</em>
-<a class="jxr_linenumber" name="L230" href="#L230">230</a> <em class="jxr_javadoccomment">         */</em>
-<a class="jxr_linenumber" name="L231" href="#L231">231</a>         <strong class="jxr_keyword">private</strong> Object readResolve() {
-<a class="jxr_linenumber" name="L232" href="#L232">232</a>             <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/oned/NeuronString.html">NeuronString</a>(wrap,
-<a class="jxr_linenumber" name="L233" href="#L233">233</a>                                     featuresList);
-<a class="jxr_linenumber" name="L234" href="#L234">234</a>         }
-<a class="jxr_linenumber" name="L235" href="#L235">235</a>     }
-<a class="jxr_linenumber" name="L236" href="#L236">236</a> }
+<a class="jxr_linenumber" name="L66" href="#L66">66</a>          <strong class="jxr_keyword">this</strong>.wrap = wrap;
+<a class="jxr_linenumber" name="L67" href="#L67">67</a>  
+<a class="jxr_linenumber" name="L68" href="#L68">68</a>          <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> fLen = featuresList[0].length;
+<a class="jxr_linenumber" name="L69" href="#L69">69</a>          network = <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/Network.html">Network</a>(0, fLen);
+<a class="jxr_linenumber" name="L70" href="#L70">70</a>          identifiers = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">long</strong>[size];
+<a class="jxr_linenumber" name="L71" href="#L71">71</a>  
+<a class="jxr_linenumber" name="L72" href="#L72">72</a>          <em class="jxr_comment">// Add neurons.</em>
+<a class="jxr_linenumber" name="L73" href="#L73">73</a>          <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; size; i++) {
+<a class="jxr_linenumber" name="L74" href="#L74">74</a>              identifiers[i] = network.createNeuron(featuresList[i]);
+<a class="jxr_linenumber" name="L75" href="#L75">75</a>          }
+<a class="jxr_linenumber" name="L76" href="#L76">76</a>  
+<a class="jxr_linenumber" name="L77" href="#L77">77</a>          <em class="jxr_comment">// Add links.</em>
+<a class="jxr_linenumber" name="L78" href="#L78">78</a>          createLinks();
+<a class="jxr_linenumber" name="L79" href="#L79">79</a>      }
+<a class="jxr_linenumber" name="L80" href="#L80">80</a>  
+<a class="jxr_linenumber" name="L81" href="#L81">81</a>      <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L82" href="#L82">82</a>  <em class="jxr_javadoccomment">     * Creates a one-dimensional network:</em>
+<a class="jxr_linenumber" name="L83" href="#L83">83</a>  <em class="jxr_javadoccomment">     * Each neuron not located on the border of the mesh has two</em>
+<a class="jxr_linenumber" name="L84" href="#L84">84</a>  <em class="jxr_javadoccomment">     * neurons linked to it.</em>
+<a class="jxr_linenumber" name="L85" href="#L85">85</a>  <em class="jxr_javadoccomment">     * &lt;br/&gt;</em>
+<a class="jxr_linenumber" name="L86" href="#L86">86</a>  <em class="jxr_javadoccomment">     * The links are bi-directional.</em>
+<a class="jxr_linenumber" name="L87" href="#L87">87</a>  <em class="jxr_javadoccomment">     * Neurons created successively are neighbours (i.e. there are</em>
+<a class="jxr_linenumber" name="L88" href="#L88">88</a>  <em class="jxr_javadoccomment">     * links between them).</em>
+<a class="jxr_linenumber" name="L89" href="#L89">89</a>  <em class="jxr_javadoccomment">     * &lt;br/&gt;</em>
+<a class="jxr_linenumber" name="L90" href="#L90">90</a>  <em class="jxr_javadoccomment">     * The topology of the network can also be a circle (if the</em>
+<a class="jxr_linenumber" name="L91" href="#L91">91</a>  <em class="jxr_javadoccomment">     * dimension is wrapped).</em>
+<a class="jxr_linenumber" name="L92" href="#L92">92</a>  <em class="jxr_javadoccomment">     *</em>
+<a class="jxr_linenumber" name="L93" href="#L93">93</a>  <em class="jxr_javadoccomment">     * @param num Number of neurons.</em>
+<a class="jxr_linenumber" name="L94" href="#L94">94</a>  <em class="jxr_javadoccomment">     * @param wrap Whether to wrap the dimension (i.e the first and last</em>
+<a class="jxr_linenumber" name="L95" href="#L95">95</a>  <em class="jxr_javadoccomment">     * neurons will be linked together).</em>
+<a class="jxr_linenumber" name="L96" href="#L96">96</a>  <em class="jxr_javadoccomment">     * @param featureInit Arrays that will initialize the features sets of</em>
+<a class="jxr_linenumber" name="L97" href="#L97">97</a>  <em class="jxr_javadoccomment">     * the network's neurons.</em>
+<a class="jxr_linenumber" name="L98" href="#L98">98</a>  <em class="jxr_javadoccomment">     * @throws NumberIsTooSmallException if {@code num &lt; 2}.</em>
+<a class="jxr_linenumber" name="L99" href="#L99">99</a>  <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L100" href="#L100">100</a>     <strong class="jxr_keyword">public</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/oned/NeuronString.html">NeuronString</a>(<strong class="jxr_keyword">int</strong> num,
+<a class="jxr_linenumber" name="L101" href="#L101">101</a>                         <strong class="jxr_keyword">boolean</strong> wrap,
+<a class="jxr_linenumber" name="L102" href="#L102">102</a>                         <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/FeatureInitializer.html">FeatureInitializer</a>[] featureInit) {
+<a class="jxr_linenumber" name="L103" href="#L103">103</a>         <strong class="jxr_keyword">if</strong> (num &lt; 2) {
+<a class="jxr_linenumber" name="L104" href="#L104">104</a>             <strong class="jxr_keyword">throw</strong> <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/exception/NumberIsTooSmallException.html">NumberIsTooSmallException</a>(num, 2, <strong class="jxr_keyword">true</strong>);
+<a class="jxr_linenumber" name="L105" href="#L105">105</a>         }
+<a class="jxr_linenumber" name="L106" href="#L106">106</a> 
+<a class="jxr_linenumber" name="L107" href="#L107">107</a>         size = num;
+<a class="jxr_linenumber" name="L108" href="#L108">108</a>         <strong class="jxr_keyword">this</strong>.wrap = wrap;
+<a class="jxr_linenumber" name="L109" href="#L109">109</a>         identifiers = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">long</strong>[num];
+<a class="jxr_linenumber" name="L110" href="#L110">110</a> 
+<a class="jxr_linenumber" name="L111" href="#L111">111</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">int</strong> fLen = featureInit.length;
+<a class="jxr_linenumber" name="L112" href="#L112">112</a>         network = <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/Network.html">Network</a>(0, fLen);
+<a class="jxr_linenumber" name="L113" href="#L113">113</a> 
+<a class="jxr_linenumber" name="L114" href="#L114">114</a>         <em class="jxr_comment">// Add neurons.</em>
+<a class="jxr_linenumber" name="L115" href="#L115">115</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; num; i++) {
+<a class="jxr_linenumber" name="L116" href="#L116">116</a>             <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[] features = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[fLen];
+<a class="jxr_linenumber" name="L117" href="#L117">117</a>             <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> fIndex = 0; fIndex &lt; fLen; fIndex++) {
+<a class="jxr_linenumber" name="L118" href="#L118">118</a>                 features[fIndex] = featureInit[fIndex].value();
+<a class="jxr_linenumber" name="L119" href="#L119">119</a>             }
+<a class="jxr_linenumber" name="L120" href="#L120">120</a>             identifiers[i] = network.createNeuron(features);
+<a class="jxr_linenumber" name="L121" href="#L121">121</a>         }
+<a class="jxr_linenumber" name="L122" href="#L122">122</a> 
+<a class="jxr_linenumber" name="L123" href="#L123">123</a>         <em class="jxr_comment">// Add links.</em>
+<a class="jxr_linenumber" name="L124" href="#L124">124</a>         createLinks();
+<a class="jxr_linenumber" name="L125" href="#L125">125</a>     }
+<a class="jxr_linenumber" name="L126" href="#L126">126</a> 
+<a class="jxr_linenumber" name="L127" href="#L127">127</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L128" href="#L128">128</a> <em class="jxr_javadoccomment">     * Retrieves the underlying network.</em>
+<a class="jxr_linenumber" name="L129" href="#L129">129</a> <em class="jxr_javadoccomment">     * A reference is returned (enabling, for example, the network to be</em>
+<a class="jxr_linenumber" name="L130" href="#L130">130</a> <em class="jxr_javadoccomment">     * trained).</em>
+<a class="jxr_linenumber" name="L131" href="#L131">131</a> <em class="jxr_javadoccomment">     * This also implies that calling methods that modify the {@link Network}</em>
+<a class="jxr_linenumber" name="L132" href="#L132">132</a> <em class="jxr_javadoccomment">     * topology may cause this class to become inconsistent.</em>
+<a class="jxr_linenumber" name="L133" href="#L133">133</a> <em class="jxr_javadoccomment">     *</em>
+<a class="jxr_linenumber" name="L134" href="#L134">134</a> <em class="jxr_javadoccomment">     * @return the network.</em>
+<a class="jxr_linenumber" name="L135" href="#L135">135</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L136" href="#L136">136</a>     <strong class="jxr_keyword">public</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/Network.html">Network</a> getNetwork() {
+<a class="jxr_linenumber" name="L137" href="#L137">137</a>         <strong class="jxr_keyword">return</strong> network;
+<a class="jxr_linenumber" name="L138" href="#L138">138</a>     }
+<a class="jxr_linenumber" name="L139" href="#L139">139</a> 
+<a class="jxr_linenumber" name="L140" href="#L140">140</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L141" href="#L141">141</a> <em class="jxr_javadoccomment">     * Gets the number of neurons.</em>
+<a class="jxr_linenumber" name="L142" href="#L142">142</a> <em class="jxr_javadoccomment">     *</em>
+<a class="jxr_linenumber" name="L143" href="#L143">143</a> <em class="jxr_javadoccomment">     * @return the number of neurons.</em>
+<a class="jxr_linenumber" name="L144" href="#L144">144</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L145" href="#L145">145</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">int</strong> getSize() {
+<a class="jxr_linenumber" name="L146" href="#L146">146</a>         <strong class="jxr_keyword">return</strong> size;
+<a class="jxr_linenumber" name="L147" href="#L147">147</a>     }
+<a class="jxr_linenumber" name="L148" href="#L148">148</a> 
+<a class="jxr_linenumber" name="L149" href="#L149">149</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L150" href="#L150">150</a> <em class="jxr_javadoccomment">     * Retrieves the features set from the neuron at location</em>
+<a class="jxr_linenumber" name="L151" href="#L151">151</a> <em class="jxr_javadoccomment">     * {@code i} in the map.</em>
+<a class="jxr_linenumber" name="L152" href="#L152">152</a> <em class="jxr_javadoccomment">     *</em>
+<a class="jxr_linenumber" name="L153" href="#L153">153</a> <em class="jxr_javadoccomment">     * @param i Neuron index.</em>
+<a class="jxr_linenumber" name="L154" href="#L154">154</a> <em class="jxr_javadoccomment">     * @return the features of the neuron at index {@code i}.</em>
+<a class="jxr_linenumber" name="L155" href="#L155">155</a> <em class="jxr_javadoccomment">     * @throws OutOfRangeException if {@code i} is out of range.</em>
+<a class="jxr_linenumber" name="L156" href="#L156">156</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L157" href="#L157">157</a>     <strong class="jxr_keyword">public</strong> <strong class="jxr_keyword">double</strong>[] getFeatures(<strong class="jxr_keyword">int</strong> i) {
+<a class="jxr_linenumber" name="L158" href="#L158">158</a>         <strong class="jxr_keyword">if</strong> (i &lt; 0 ||
+<a class="jxr_linenumber" name="L159" href="#L159">159</a>             i &gt;= size) {
+<a class="jxr_linenumber" name="L160" href="#L160">160</a>             <strong class="jxr_keyword">throw</strong> <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/exception/OutOfRangeException.html">OutOfRangeException</a>(i, 0, size - 1);
+<a class="jxr_linenumber" name="L161" href="#L161">161</a>         }
+<a class="jxr_linenumber" name="L162" href="#L162">162</a> 
+<a class="jxr_linenumber" name="L163" href="#L163">163</a>         <strong class="jxr_keyword">return</strong> network.getNeuron(identifiers[i]).getFeatures();
+<a class="jxr_linenumber" name="L164" href="#L164">164</a>     }
+<a class="jxr_linenumber" name="L165" href="#L165">165</a> 
+<a class="jxr_linenumber" name="L166" href="#L166">166</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L167" href="#L167">167</a> <em class="jxr_javadoccomment">     * Creates the neighbour relationships between neurons.</em>
+<a class="jxr_linenumber" name="L168" href="#L168">168</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L169" href="#L169">169</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">void</strong> createLinks() {
+<a class="jxr_linenumber" name="L170" href="#L170">170</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; size - 1; i++) {
+<a class="jxr_linenumber" name="L171" href="#L171">171</a>             network.addLink(network.getNeuron(i), network.getNeuron(i + 1));
+<a class="jxr_linenumber" name="L172" href="#L172">172</a>         }
+<a class="jxr_linenumber" name="L173" href="#L173">173</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = size - 1; i &gt; 0; i--) {
+<a class="jxr_linenumber" name="L174" href="#L174">174</a>             network.addLink(network.getNeuron(i), network.getNeuron(i - 1));
+<a class="jxr_linenumber" name="L175" href="#L175">175</a>         }
+<a class="jxr_linenumber" name="L176" href="#L176">176</a>         <strong class="jxr_keyword">if</strong> (wrap) {
+<a class="jxr_linenumber" name="L177" href="#L177">177</a>             network.addLink(network.getNeuron(0), network.getNeuron(size - 1));
+<a class="jxr_linenumber" name="L178" href="#L178">178</a>             network.addLink(network.getNeuron(size - 1), network.getNeuron(0));
+<a class="jxr_linenumber" name="L179" href="#L179">179</a>         }
+<a class="jxr_linenumber" name="L180" href="#L180">180</a>     }
+<a class="jxr_linenumber" name="L181" href="#L181">181</a> 
+<a class="jxr_linenumber" name="L182" href="#L182">182</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L183" href="#L183">183</a> <em class="jxr_javadoccomment">     * Prevents proxy bypass.</em>
+<a class="jxr_linenumber" name="L184" href="#L184">184</a> <em class="jxr_javadoccomment">     *</em>
+<a class="jxr_linenumber" name="L185" href="#L185">185</a> <em class="jxr_javadoccomment">     * @param in Input stream.</em>
+<a class="jxr_linenumber" name="L186" href="#L186">186</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L187" href="#L187">187</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">void</strong> readObject(ObjectInputStream in) {
+<a class="jxr_linenumber" name="L188" href="#L188">188</a>         <strong class="jxr_keyword">throw</strong> <strong class="jxr_keyword">new</strong> IllegalStateException();
+<a class="jxr_linenumber" name="L189" href="#L189">189</a>     }
+<a class="jxr_linenumber" name="L190" href="#L190">190</a> 
+<a class="jxr_linenumber" name="L191" href="#L191">191</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L192" href="#L192">192</a> <em class="jxr_javadoccomment">     * Custom serialization.</em>
+<a class="jxr_linenumber" name="L193" href="#L193">193</a> <em class="jxr_javadoccomment">     *</em>
+<a class="jxr_linenumber" name="L194" href="#L194">194</a> <em class="jxr_javadoccomment">     * @return the proxy instance that will be actually serialized.</em>
+<a class="jxr_linenumber" name="L195" href="#L195">195</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L196" href="#L196">196</a>     <strong class="jxr_keyword">private</strong> Object writeReplace() {
+<a class="jxr_linenumber" name="L197" href="#L197">197</a>         <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[][] featuresList = <strong class="jxr_keyword">new</strong> <strong class="jxr_keyword">double</strong>[size][];
+<a class="jxr_linenumber" name="L198" href="#L198">198</a>         <strong class="jxr_keyword">for</strong> (<strong class="jxr_keyword">int</strong> i = 0; i &lt; size; i++) {
+<a class="jxr_linenumber" name="L199" href="#L199">199</a>             featuresList[i] = getFeatures(i);
+<a class="jxr_linenumber" name="L200" href="#L200">200</a>         }
+<a class="jxr_linenumber" name="L201" href="#L201">201</a> 
+<a class="jxr_linenumber" name="L202" href="#L202">202</a>         <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/Network.html">SerializationProxy</a>(wrap,
+<a class="jxr_linenumber" name="L203" href="#L203">203</a>                                       featuresList);
+<a class="jxr_linenumber" name="L204" href="#L204">204</a>     }
+<a class="jxr_linenumber" name="L205" href="#L205">205</a> 
+<a class="jxr_linenumber" name="L206" href="#L206">206</a>     <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L207" href="#L207">207</a> <em class="jxr_javadoccomment">     * Serialization.</em>
+<a class="jxr_linenumber" name="L208" href="#L208">208</a> <em class="jxr_javadoccomment">     */</em>
+<a class="jxr_linenumber" name="L209" href="#L209">209</a>     <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">class</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/Network.html">SerializationProxy</a> <strong class="jxr_keyword">implements</strong> Serializable {
+<a class="jxr_linenumber" name="L210" href="#L210">210</a>         <em class="jxr_javadoccomment">/** Serializable. */</em>
+<a class="jxr_linenumber" name="L211" href="#L211">211</a>         <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">static</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">long</strong> serialVersionUID = 20130226L;
+<a class="jxr_linenumber" name="L212" href="#L212">212</a>         <em class="jxr_javadoccomment">/** Wrap. */</em>
+<a class="jxr_linenumber" name="L213" href="#L213">213</a>         <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">boolean</strong> wrap;
+<a class="jxr_linenumber" name="L214" href="#L214">214</a>         <em class="jxr_javadoccomment">/** Neurons' features. */</em>
+<a class="jxr_linenumber" name="L215" href="#L215">215</a>         <strong class="jxr_keyword">private</strong> <strong class="jxr_keyword">final</strong> <strong class="jxr_keyword">double</strong>[][] featuresList;
+<a class="jxr_linenumber" name="L216" href="#L216">216</a> 
+<a class="jxr_linenumber" name="L217" href="#L217">217</a>         <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L218" href="#L218">218</a> <em class="jxr_javadoccomment">         * @param wrap Whether the dimension is wrapped.</em>
+<a class="jxr_linenumber" name="L219" href="#L219">219</a> <em class="jxr_javadoccomment">         * @param featuresList List of neurons features.</em>
+<a class="jxr_linenumber" name="L220" href="#L220">220</a> <em class="jxr_javadoccomment">         * {@code neuronList}.</em>
+<a class="jxr_linenumber" name="L221" href="#L221">221</a> <em class="jxr_javadoccomment">         */</em>
+<a class="jxr_linenumber" name="L222" href="#L222">222</a>         <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/Network.html">SerializationProxy</a>(<strong class="jxr_keyword">boolean</strong> wrap,
+<a class="jxr_linenumber" name="L223" href="#L223">223</a>                            <strong class="jxr_keyword">double</strong>[][] featuresList) {
+<a class="jxr_linenumber" name="L224" href="#L224">224</a>             <strong class="jxr_keyword">this</strong>.wrap = wrap;
+<a class="jxr_linenumber" name="L225" href="#L225">225</a>             <strong class="jxr_keyword">this</strong>.featuresList = featuresList;
+<a class="jxr_linenumber" name="L226" href="#L226">226</a>         }
+<a class="jxr_linenumber" name="L227" href="#L227">227</a> 
+<a class="jxr_linenumber" name="L228" href="#L228">228</a>         <em class="jxr_javadoccomment">/**</em>
+<a class="jxr_linenumber" name="L229" href="#L229">229</a> <em class="jxr_javadoccomment">         * Custom serialization.</em>
+<a class="jxr_linenumber" name="L230" href="#L230">230</a> <em class="jxr_javadoccomment">         *</em>
+<a class="jxr_linenumber" name="L231" href="#L231">231</a> <em class="jxr_javadoccomment">         * @return the {@link Neuron} for which this instance is the proxy.</em>
+<a class="jxr_linenumber" name="L232" href="#L232">232</a> <em class="jxr_javadoccomment">         */</em>
+<a class="jxr_linenumber" name="L233" href="#L233">233</a>         <strong class="jxr_keyword">private</strong> Object readResolve() {
+<a class="jxr_linenumber" name="L234" href="#L234">234</a>             <strong class="jxr_keyword">return</strong> <strong class="jxr_keyword">new</strong> <a href="../../../../../../../org/apache/commons/math3/ml/neuralnet/oned/NeuronString.html">NeuronString</a>(wrap,
+<a class="jxr_linenumber" name="L235" href="#L235">235</a>                                     featuresList);
+<a class="jxr_linenumber" name="L236" href="#L236">236</a>         }
+<a class="jxr_linenumber" name="L237" href="#L237">237</a>     }
+<a class="jxr_linenumber" name="L238" href="#L238">238</a> }
 </pre>
 <hr/>
 <div id="footer">Copyright &#169; 2003&#x2013;2015 <a href="http://www.apache.org/">The Apache Software Foundation</a>. All rights reserved.</div>

Modified: websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/oned/package-frame.html
==============================================================================
--- websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/oned/package-frame.html (original)
+++ websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/oned/package-frame.html Fri Apr 17 19:17:13 2015
@@ -3,7 +3,7 @@
 <html xml:lang="en" lang="en">
 	<head>
 		<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
-		<title>Apache Commons Math 3.4.1 Reference Package org.apache.commons.math3.ml.neuralnet.oned</title>
+		<title>Apache Commons Math 3.5 Reference Package org.apache.commons.math3.ml.neuralnet.oned</title>
 		<link rel="stylesheet" type="text/css" href="../../../../../../../stylesheet.css" title="style" />
 	</head>
 	<body>

Modified: websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/oned/package-summary.html
==============================================================================
--- websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/oned/package-summary.html (original)
+++ websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/oned/package-summary.html Fri Apr 17 19:17:13 2015
@@ -3,7 +3,7 @@
 <html xml:lang="en" lang="en">
 	<head>
 		<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
-		<title>Apache Commons Math 3.4.1 Reference Package org.apache.commons.math3.ml.neuralnet.oned</title>
+		<title>Apache Commons Math 3.5 Reference Package org.apache.commons.math3.ml.neuralnet.oned</title>
 		<link rel="stylesheet" type="text/css" href="../../../../../../../stylesheet.css" title="style" />
 	</head>
 	<body>

Modified: websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/package-frame.html
==============================================================================
--- websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/package-frame.html (original)
+++ websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/package-frame.html Fri Apr 17 19:17:13 2015
@@ -3,7 +3,7 @@
 <html xml:lang="en" lang="en">
 	<head>
 		<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
-		<title>Apache Commons Math 3.4.1 Reference Package org.apache.commons.math3.ml.neuralnet</title>
+		<title>Apache Commons Math 3.5 Reference Package org.apache.commons.math3.ml.neuralnet</title>
 		<link rel="stylesheet" type="text/css" href="../../../../../../stylesheet.css" title="style" />
 	</head>
 	<body>
@@ -34,7 +34,7 @@
             	<a href="Network.html" target="classFrame">NeuronIdentifierComparator</a>
           	</li>
           	          	<li>
-            	<a href="Neuron.html" target="classFrame">SerializationProxy</a>
+            	<a href="Network.html" target="classFrame">SerializationProxy</a>
           	</li>
           	          	<li>
             	<a href="SquareNeighbourhood.html" target="classFrame">SquareNeighbourhood</a>

Modified: websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/package-summary.html
==============================================================================
--- websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/package-summary.html (original)
+++ websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/package-summary.html Fri Apr 17 19:17:13 2015
@@ -3,7 +3,7 @@
 <html xml:lang="en" lang="en">
 	<head>
 		<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
-		<title>Apache Commons Math 3.4.1 Reference Package org.apache.commons.math3.ml.neuralnet</title>
+		<title>Apache Commons Math 3.5 Reference Package org.apache.commons.math3.ml.neuralnet</title>
 		<link rel="stylesheet" type="text/css" href="../../../../../../stylesheet.css" title="style" />
 	</head>
 	<body>
@@ -67,7 +67,7 @@
             	</tr>
 				            	<tr>
               		<td>
-                		<a href="Neuron.html" target="classFrame">SerializationProxy</a>
+                		<a href="Network.html" target="classFrame">SerializationProxy</a>
               		</td>
             	</tr>
 				            	<tr>

Modified: websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/sofm/package-frame.html
==============================================================================
--- websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/sofm/package-frame.html (original)
+++ websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/sofm/package-frame.html Fri Apr 17 19:17:13 2015
@@ -3,7 +3,7 @@
 <html xml:lang="en" lang="en">
 	<head>
 		<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
-		<title>Apache Commons Math 3.4.1 Reference Package org.apache.commons.math3.ml.neuralnet.sofm</title>
+		<title>Apache Commons Math 3.5 Reference Package org.apache.commons.math3.ml.neuralnet.sofm</title>
 		<link rel="stylesheet" type="text/css" href="../../../../../../../stylesheet.css" title="style" />
 	</head>
 	<body>

Modified: websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/sofm/package-summary.html
==============================================================================
--- websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/sofm/package-summary.html (original)
+++ websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/sofm/package-summary.html Fri Apr 17 19:17:13 2015
@@ -3,7 +3,7 @@
 <html xml:lang="en" lang="en">
 	<head>
 		<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
-		<title>Apache Commons Math 3.4.1 Reference Package org.apache.commons.math3.ml.neuralnet.sofm</title>
+		<title>Apache Commons Math 3.5 Reference Package org.apache.commons.math3.ml.neuralnet.sofm</title>
 		<link rel="stylesheet" type="text/css" href="../../../../../../../stylesheet.css" title="style" />
 	</head>
 	<body>

Modified: websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/sofm/util/package-frame.html
==============================================================================
--- websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/sofm/util/package-frame.html (original)
+++ websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/sofm/util/package-frame.html Fri Apr 17 19:17:13 2015
@@ -3,7 +3,7 @@
 <html xml:lang="en" lang="en">
 	<head>
 		<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
-		<title>Apache Commons Math 3.4.1 Reference Package org.apache.commons.math3.ml.neuralnet.sofm.util</title>
+		<title>Apache Commons Math 3.5 Reference Package org.apache.commons.math3.ml.neuralnet.sofm.util</title>
 		<link rel="stylesheet" type="text/css" href="../../../../../../../../stylesheet.css" title="style" />
 	</head>
 	<body>

Modified: websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/sofm/util/package-summary.html
==============================================================================
--- websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/sofm/util/package-summary.html (original)
+++ websites/production/commons/content/proper/commons-math/xref/org/apache/commons/math3/ml/neuralnet/sofm/util/package-summary.html Fri Apr 17 19:17:13 2015
@@ -3,7 +3,7 @@
 <html xml:lang="en" lang="en">
 	<head>
 		<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
-		<title>Apache Commons Math 3.4.1 Reference Package org.apache.commons.math3.ml.neuralnet.sofm.util</title>
+		<title>Apache Commons Math 3.5 Reference Package org.apache.commons.math3.ml.neuralnet.sofm.util</title>
 		<link rel="stylesheet" type="text/css" href="../../../../../../../../stylesheet.css" title="style" />
 	</head>
 	<body>



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