blob: b085597f839e37046136f5edff2cf1d094cb31ec [file] [log] [blame]
<!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1.0"><meta name="generator" content="rustdoc"><meta name="description" content="Source of the Rust file `/root/.cargo/git/checkouts/incubator-teaclave-crates-c8106113f74feefc/ede1f68/rusty-machine/src/learning/toolkit/regularization.rs`."><meta name="keywords" content="rust, rustlang, rust-lang"><title>regularization.rs - source</title><link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../SourceSerif4-Regular.ttf.woff2"><link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../FiraSans-Regular.woff2"><link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../FiraSans-Medium.woff2"><link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../SourceCodePro-Regular.ttf.woff2"><link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../SourceSerif4-Bold.ttf.woff2"><link rel="preload" as="font" type="font/woff2" crossorigin href="../../../../SourceCodePro-Semibold.ttf.woff2"><link rel="stylesheet" href="../../../../normalize.css"><link rel="stylesheet" href="../../../../rustdoc.css" id="mainThemeStyle"><link rel="stylesheet" href="../../../../ayu.css" disabled><link rel="stylesheet" href="../../../../dark.css" disabled><link rel="stylesheet" href="../../../../light.css" id="themeStyle"><script id="default-settings" ></script><script src="../../../../storage.js"></script><script defer src="../../../../source-script.js"></script><script defer src="../../../../source-files.js"></script><script defer src="../../../../main.js"></script><noscript><link rel="stylesheet" href="../../../../noscript.css"></noscript><link rel="alternate icon" type="image/png" href="../../../../favicon-16x16.png"><link rel="alternate icon" type="image/png" href="../../../../favicon-32x32.png"><link rel="icon" type="image/svg+xml" href="../../../../favicon.svg"></head><body class="rustdoc source"><!--[if lte IE 11]><div class="warning">This old browser is unsupported and will most likely display funky things.</div><![endif]--><nav class="sidebar"><a class="sidebar-logo" href="../../../../rusty_machine/index.html"><div class="logo-container"><img class="rust-logo" src="../../../../rust-logo.svg" alt="logo"></div></a></nav><main><div class="width-limiter"><nav class="sub"><a class="sub-logo-container" href="../../../../rusty_machine/index.html"><img class="rust-logo" src="../../../../rust-logo.svg" alt="logo"></a><form class="search-form"><div class="search-container"><span></span><input class="search-input" name="search" autocomplete="off" spellcheck="false" placeholder="Click or press ‘S’ to search, ‘?’ for more options…" type="search"><div id="help-button" title="help" tabindex="-1"><a href="../../../../help.html">?</a></div><div id="settings-menu" tabindex="-1"><a href="../../../../settings.html" title="settings"><img width="22" height="22" alt="Change settings" src="../../../../wheel.svg"></a></div></div></form></nav><section id="main-content" class="content"><div class="example-wrap"><pre class="src-line-numbers"><span id="1">1</span>
<span id="2">2</span>
<span id="3">3</span>
<span id="4">4</span>
<span id="5">5</span>
<span id="6">6</span>
<span id="7">7</span>
<span id="8">8</span>
<span id="9">9</span>
<span id="10">10</span>
<span id="11">11</span>
<span id="12">12</span>
<span id="13">13</span>
<span id="14">14</span>
<span id="15">15</span>
<span id="16">16</span>
<span id="17">17</span>
<span id="18">18</span>
<span id="19">19</span>
<span id="20">20</span>
<span id="21">21</span>
<span id="22">22</span>
<span id="23">23</span>
<span id="24">24</span>
<span id="25">25</span>
<span id="26">26</span>
<span id="27">27</span>
<span id="28">28</span>
<span id="29">29</span>
<span id="30">30</span>
<span id="31">31</span>
<span id="32">32</span>
<span id="33">33</span>
<span id="34">34</span>
<span id="35">35</span>
<span id="36">36</span>
<span id="37">37</span>
<span id="38">38</span>
<span id="39">39</span>
<span id="40">40</span>
<span id="41">41</span>
<span id="42">42</span>
<span id="43">43</span>
<span id="44">44</span>
<span id="45">45</span>
<span id="46">46</span>
<span id="47">47</span>
<span id="48">48</span>
<span id="49">49</span>
<span id="50">50</span>
<span id="51">51</span>
<span id="52">52</span>
<span id="53">53</span>
<span id="54">54</span>
<span id="55">55</span>
<span id="56">56</span>
<span id="57">57</span>
<span id="58">58</span>
<span id="59">59</span>
<span id="60">60</span>
<span id="61">61</span>
<span id="62">62</span>
<span id="63">63</span>
<span id="64">64</span>
<span id="65">65</span>
<span id="66">66</span>
<span id="67">67</span>
<span id="68">68</span>
<span id="69">69</span>
<span id="70">70</span>
<span id="71">71</span>
<span id="72">72</span>
<span id="73">73</span>
<span id="74">74</span>
<span id="75">75</span>
<span id="76">76</span>
<span id="77">77</span>
<span id="78">78</span>
<span id="79">79</span>
<span id="80">80</span>
<span id="81">81</span>
<span id="82">82</span>
<span id="83">83</span>
<span id="84">84</span>
<span id="85">85</span>
<span id="86">86</span>
<span id="87">87</span>
<span id="88">88</span>
<span id="89">89</span>
<span id="90">90</span>
<span id="91">91</span>
<span id="92">92</span>
<span id="93">93</span>
<span id="94">94</span>
<span id="95">95</span>
<span id="96">96</span>
<span id="97">97</span>
<span id="98">98</span>
<span id="99">99</span>
<span id="100">100</span>
<span id="101">101</span>
<span id="102">102</span>
<span id="103">103</span>
<span id="104">104</span>
<span id="105">105</span>
<span id="106">106</span>
<span id="107">107</span>
<span id="108">108</span>
<span id="109">109</span>
<span id="110">110</span>
<span id="111">111</span>
<span id="112">112</span>
<span id="113">113</span>
<span id="114">114</span>
<span id="115">115</span>
<span id="116">116</span>
<span id="117">117</span>
<span id="118">118</span>
<span id="119">119</span>
<span id="120">120</span>
<span id="121">121</span>
<span id="122">122</span>
<span id="123">123</span>
<span id="124">124</span>
<span id="125">125</span>
<span id="126">126</span>
<span id="127">127</span>
<span id="128">128</span>
<span id="129">129</span>
<span id="130">130</span>
<span id="131">131</span>
<span id="132">132</span>
<span id="133">133</span>
<span id="134">134</span>
<span id="135">135</span>
<span id="136">136</span>
<span id="137">137</span>
<span id="138">138</span>
<span id="139">139</span>
<span id="140">140</span>
<span id="141">141</span>
<span id="142">142</span>
<span id="143">143</span>
<span id="144">144</span>
<span id="145">145</span>
<span id="146">146</span>
<span id="147">147</span>
<span id="148">148</span>
<span id="149">149</span>
<span id="150">150</span>
<span id="151">151</span>
<span id="152">152</span>
<span id="153">153</span>
<span id="154">154</span>
<span id="155">155</span>
<span id="156">156</span>
<span id="157">157</span>
<span id="158">158</span>
<span id="159">159</span>
<span id="160">160</span>
<span id="161">161</span>
<span id="162">162</span>
<span id="163">163</span>
<span id="164">164</span>
<span id="165">165</span>
<span id="166">166</span>
<span id="167">167</span>
<span id="168">168</span>
<span id="169">169</span>
<span id="170">170</span>
<span id="171">171</span>
<span id="172">172</span>
</pre><pre class="rust"><code><span class="doccomment">//! Regularization Module
//!
//! This module contains some base utility methods for regularization
//! within machine learning algorithms.
//!
//! The module contains a `Regularization` enum which provides access to
//! `L1`, `L2` and `ElasticNet` regularization.
//!
//! # Examples
//!
//! ```
//! use rusty_machine::learning::toolkit::regularization::Regularization;
//!
//! let reg = Regularization::L1(0.5);
//! ```
</span><span class="kw">use </span>linalg::norm::{Euclidean, Lp, MatrixNorm};
<span class="kw">use </span>linalg::{Matrix, MatrixSlice, BaseMatrix};
<span class="kw">use </span>libnum::{FromPrimitive, Float};
<span class="doccomment">/// Model Regularization
</span><span class="attribute">#[derive(Debug, Clone, Copy)]
</span><span class="kw">pub enum </span>Regularization&lt;T: Float&gt; {
<span class="doccomment">/// L1 Regularization
</span>L1(T),
<span class="doccomment">/// L2 Regularization
</span>L2(T),
<span class="doccomment">/// Elastic Net Regularization (L1 and L2)
</span>ElasticNet(T, T),
<span class="doccomment">/// No Regularization
</span><span class="prelude-val">None</span>,
}
<span class="kw">impl</span>&lt;T: Float + FromPrimitive&gt; Regularization&lt;T&gt; {
<span class="doccomment">/// Compute the regularization addition to the cost.
</span><span class="kw">pub fn </span>reg_cost(<span class="kw-2">&amp;</span><span class="self">self</span>, mat: MatrixSlice&lt;T&gt;) -&gt; T {
<span class="kw">match </span><span class="kw-2">*</span><span class="self">self </span>{
Regularization::L1(x) =&gt; <span class="self">Self</span>::l1_reg_cost(<span class="kw-2">&amp;</span>mat, x),
Regularization::L2(x) =&gt; <span class="self">Self</span>::l2_reg_cost(<span class="kw-2">&amp;</span>mat, x),
Regularization::ElasticNet(x, y) =&gt; {
<span class="self">Self</span>::l1_reg_cost(<span class="kw-2">&amp;</span>mat, x) + <span class="self">Self</span>::l2_reg_cost(<span class="kw-2">&amp;</span>mat, y)
}
Regularization::None =&gt; T::zero(),
}
}
<span class="doccomment">/// Compute the regularization addition to the gradient.
</span><span class="kw">pub fn </span>reg_grad(<span class="kw-2">&amp;</span><span class="self">self</span>, mat: MatrixSlice&lt;T&gt;) -&gt; Matrix&lt;T&gt; {
<span class="kw">match </span><span class="kw-2">*</span><span class="self">self </span>{
Regularization::L1(x) =&gt; <span class="self">Self</span>::l1_reg_grad(<span class="kw-2">&amp;</span>mat, x),
Regularization::L2(x) =&gt; <span class="self">Self</span>::l2_reg_grad(<span class="kw-2">&amp;</span>mat, x),
Regularization::ElasticNet(x, y) =&gt; {
<span class="self">Self</span>::l1_reg_grad(<span class="kw-2">&amp;</span>mat, x) + <span class="self">Self</span>::l2_reg_grad(<span class="kw-2">&amp;</span>mat, y)
}
Regularization::None =&gt; Matrix::zeros(mat.rows(), mat.cols()),
}
}
<span class="kw">fn </span>l1_reg_cost(mat: <span class="kw-2">&amp;</span>MatrixSlice&lt;T&gt;, x: T) -&gt; T {
<span class="kw">let </span>l1_norm = Lp::Integer(<span class="number">1</span>).norm(mat);
l1_norm * x / ((T::one() + T::one()) * FromPrimitive::from_usize(mat.rows()).unwrap())
}
<span class="kw">fn </span>l1_reg_grad(mat: <span class="kw-2">&amp;</span>MatrixSlice&lt;T&gt;, x: T) -&gt; Matrix&lt;T&gt; {
<span class="kw">let </span>m_2 = (T::one() + T::one()) * FromPrimitive::from_usize(mat.rows()).unwrap();
<span class="kw">let </span>out_mat_data = mat.iter()
.map(|y| {
<span class="kw">if </span>y.is_sign_negative() {
-x / m_2
} <span class="kw">else </span>{
x / m_2
}
})
.collect::&lt;Vec&lt;<span class="kw">_</span>&gt;&gt;();
Matrix::new(mat.rows(), mat.cols(), out_mat_data)
}
<span class="kw">fn </span>l2_reg_cost(mat: <span class="kw-2">&amp;</span>MatrixSlice&lt;T&gt;, x: T) -&gt; T {
Euclidean.norm(mat) * x / ((T::one() + T::one()) * FromPrimitive::from_usize(mat.rows()).unwrap())
}
<span class="kw">fn </span>l2_reg_grad(mat: <span class="kw-2">&amp;</span>MatrixSlice&lt;T&gt;, x: T) -&gt; Matrix&lt;T&gt; {
mat * (x / FromPrimitive::from_usize(mat.rows()).unwrap())
}
}
<span class="attribute">#[cfg(test)]
</span><span class="kw">mod </span>tests {
<span class="kw">use </span><span class="kw">super</span>::Regularization;
<span class="kw">use </span>linalg::{Matrix, BaseMatrix};
<span class="kw">use </span>linalg::norm::{Euclidean, MatrixNorm};
<span class="attribute">#[test]
</span><span class="kw">fn </span>test_no_reg() {
<span class="kw">let </span>input_mat = Matrix::new(<span class="number">3</span>, <span class="number">4</span>, (<span class="number">0</span>..<span class="number">12</span>).map(|x| x <span class="kw">as </span>f64).collect::&lt;Vec&lt;<span class="kw">_</span>&gt;&gt;());
<span class="kw">let </span>mat_slice = input_mat.as_slice();
<span class="kw">let </span>no_reg: Regularization&lt;f64&gt; = Regularization::None;
<span class="kw">let </span>a = no_reg.reg_cost(mat_slice);
<span class="kw">let </span>b = no_reg.reg_grad(mat_slice);
<span class="macro">assert_eq!</span>(a, <span class="number">0f64</span>);
<span class="macro">assert_eq!</span>(b, Matrix::zeros(<span class="number">3</span>, <span class="number">4</span>));
}
<span class="attribute">#[test]
</span><span class="kw">fn </span>test_l1_reg() {
<span class="kw">let </span>input_mat = Matrix::new(<span class="number">3</span>, <span class="number">4</span>, (<span class="number">0</span>..<span class="number">12</span>).map(|x| x <span class="kw">as </span>f64 - <span class="number">3f64</span>).collect::&lt;Vec&lt;<span class="kw">_</span>&gt;&gt;());
<span class="kw">let </span>mat_slice = input_mat.as_slice();
<span class="kw">let </span>no_reg: Regularization&lt;f64&gt; = Regularization::L1(<span class="number">0.5</span>);
<span class="kw">let </span>a = no_reg.reg_cost(mat_slice);
<span class="kw">let </span>b = no_reg.reg_grad(mat_slice);
<span class="macro">assert!</span>((a - (<span class="number">42f64 </span>/ <span class="number">12f64</span>)) &lt; <span class="number">1e-18</span>);
<span class="kw">let </span>true_grad = <span class="macro">vec!</span>[-<span class="number">1.</span>, -<span class="number">1.</span>, -<span class="number">1.</span>, <span class="number">1.</span>, <span class="number">1.</span>, <span class="number">1.</span>, <span class="number">1.</span>, <span class="number">1.</span>, <span class="number">1.</span>, <span class="number">1.</span>, <span class="number">1.</span>, <span class="number">1.</span>]
.into_iter()
.map(|x| x / <span class="number">12f64</span>)
.collect::&lt;Vec&lt;<span class="kw">_</span>&gt;&gt;();
<span class="kw">for </span>eps <span class="kw">in </span>(b - Matrix::new(<span class="number">3</span>, <span class="number">4</span>, true_grad)).into_vec() {
<span class="macro">assert!</span>(eps &lt; <span class="number">1e-18</span>);
}
}
<span class="attribute">#[test]
</span><span class="kw">fn </span>test_l2_reg() {
<span class="kw">let </span>input_mat = Matrix::new(<span class="number">3</span>, <span class="number">4</span>, (<span class="number">0</span>..<span class="number">12</span>).map(|x| x <span class="kw">as </span>f64 - <span class="number">3f64</span>).collect::&lt;Vec&lt;<span class="kw">_</span>&gt;&gt;());
<span class="kw">let </span>mat_slice = input_mat.as_slice();
<span class="kw">let </span>no_reg: Regularization&lt;f64&gt; = Regularization::L2(<span class="number">0.5</span>);
<span class="kw">let </span>a = no_reg.reg_cost(mat_slice);
<span class="kw">let </span>b = no_reg.reg_grad(mat_slice);
<span class="macro">assert!</span>((a - (Euclidean.norm(<span class="kw-2">&amp;</span>input_mat) / <span class="number">12f64</span>)) &lt; <span class="number">1e-18</span>);
<span class="kw">let </span>true_grad = <span class="kw-2">&amp;</span>input_mat / <span class="number">6f64</span>;
<span class="kw">for </span>eps <span class="kw">in </span>(b - true_grad).into_vec() {
<span class="macro">assert!</span>(eps &lt; <span class="number">1e-18</span>);
}
}
<span class="attribute">#[test]
</span><span class="kw">fn </span>test_elastic_net_reg() {
<span class="kw">let </span>input_mat = Matrix::new(<span class="number">3</span>, <span class="number">4</span>, (<span class="number">0</span>..<span class="number">12</span>).map(|x| x <span class="kw">as </span>f64 - <span class="number">3f64</span>).collect::&lt;Vec&lt;<span class="kw">_</span>&gt;&gt;());
<span class="kw">let </span>mat_slice = input_mat.as_slice();
<span class="kw">let </span>no_reg: Regularization&lt;f64&gt; = Regularization::ElasticNet(<span class="number">0.5</span>, <span class="number">0.25</span>);
<span class="kw">let </span>a = no_reg.reg_cost(mat_slice);
<span class="kw">let </span>b = no_reg.reg_grad(mat_slice);
<span class="macro">assert!</span>(a - ((Euclidean.norm(<span class="kw-2">&amp;</span>input_mat) / <span class="number">24f64</span>) + (<span class="number">42f64 </span>/ <span class="number">12f64</span>)) &lt; <span class="number">1e-18</span>);
<span class="kw">let </span>l1_true_grad = Matrix::new(<span class="number">3</span>, <span class="number">4</span>,
<span class="macro">vec!</span>[-<span class="number">1.</span>, -<span class="number">1.</span>, -<span class="number">1.</span>, <span class="number">1.</span>, <span class="number">1.</span>, <span class="number">1.</span>, <span class="number">1.</span>, <span class="number">1.</span>, <span class="number">1.</span>, <span class="number">1.</span>, <span class="number">1.</span>, <span class="number">1.</span>]
.into_iter()
.map(|x| x / <span class="number">12f64</span>)
.collect::&lt;Vec&lt;<span class="kw">_</span>&gt;&gt;());
<span class="kw">let </span>l2_true_grad = <span class="kw-2">&amp;</span>input_mat / <span class="number">12f64</span>;
<span class="kw">for </span>eps <span class="kw">in </span>(b - l1_true_grad - l2_true_grad)
.into_vec() {
<span class="comment">// Slightly lower boundary than others - more numerical error as more ops.
</span><span class="macro">assert!</span>(eps &lt; <span class="number">1e-12</span>);
}
}
}
</code></pre></div>
</section></div></main><div id="rustdoc-vars" data-root-path="../../../../" data-current-crate="rusty_machine" data-themes="ayu,dark,light" data-resource-suffix="" data-rustdoc-version="1.66.0-nightly (5c8bff74b 2022-10-21)" ></div></body></html>