| <!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 `function/src/logistic_regression_train.rs`."><meta name="keywords" content="rust, rustlang, rust-lang"><title>logistic_regression_train.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="../../teaclave_function/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="../../teaclave_function/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> |
| <span id="173">173</span> |
| <span id="174">174</span> |
| <span id="175">175</span> |
| <span id="176">176</span> |
| <span id="177">177</span> |
| <span id="178">178</span> |
| <span id="179">179</span> |
| <span id="180">180</span> |
| <span id="181">181</span> |
| <span id="182">182</span> |
| <span id="183">183</span> |
| <span id="184">184</span> |
| <span id="185">185</span> |
| <span id="186">186</span> |
| <span id="187">187</span> |
| <span id="188">188</span> |
| <span id="189">189</span> |
| <span id="190">190</span> |
| <span id="191">191</span> |
| <span id="192">192</span> |
| <span id="193">193</span> |
| <span id="194">194</span> |
| <span id="195">195</span> |
| <span id="196">196</span> |
| <span id="197">197</span> |
| <span id="198">198</span> |
| </pre><pre class="rust"><code><span class="comment">// Licensed to the Apache Software Foundation (ASF) under one |
| // or more contributor license agreements. See the NOTICE file |
| // distributed with this work for additional information |
| // regarding copyright ownership. The ASF licenses this file |
| // to you under the Apache License, Version 2.0 (the |
| // "License"); you may not use this file except in compliance |
| // with the License. You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, |
| // software distributed under the License is distributed on an |
| // "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| // KIND, either express or implied. See the License for the |
| // specific language governing permissions and limitations |
| // under the License. |
| |
| </span><span class="kw">use </span>std::convert::TryFrom; |
| <span class="kw">use </span>std::format; |
| <span class="kw">use </span>std::io::{<span class="self">self</span>, BufRead, BufReader, Write}; |
| |
| <span class="kw">use </span>teaclave_types::{FunctionArguments, FunctionRuntime}; |
| |
| <span class="kw">use </span>rusty_machine::learning::logistic_reg::LogisticRegressor; |
| <span class="kw">use </span>rusty_machine::learning::optim::grad_desc::GradientDesc; |
| <span class="kw">use </span>rusty_machine::learning::SupModel; |
| <span class="kw">use </span>rusty_machine::linalg; |
| |
| <span class="kw">const </span>TRAINING_DATA: <span class="kw-2">&</span>str = <span class="string">"training_data"</span>; |
| <span class="kw">const </span>OUT_MODEL_FILE: <span class="kw-2">&</span>str = <span class="string">"model_file"</span>; |
| |
| <span class="attribute">#[derive(Default)] |
| </span><span class="kw">pub struct </span>LogisticRegressionTrain; |
| |
| <span class="attribute">#[derive(serde::Deserialize)] |
| </span><span class="kw">struct </span>LogisticRegressionTrainArguments { |
| alg_alpha: f64, |
| alg_iters: usize, |
| feature_size: usize, |
| } |
| |
| <span class="kw">impl </span>TryFrom<FunctionArguments> <span class="kw">for </span>LogisticRegressionTrainArguments { |
| <span class="kw">type </span>Error = anyhow::Error; |
| |
| <span class="kw">fn </span>try_from(arguments: FunctionArguments) -> <span class="prelude-ty">Result</span><<span class="self">Self</span>, <span class="self">Self</span>::Error> { |
| <span class="kw">use </span>anyhow::Context; |
| serde_json::from_str(<span class="kw-2">&</span>arguments.into_string()).context(<span class="string">"Cannot deserialize arguments"</span>) |
| } |
| } |
| |
| <span class="kw">impl </span>LogisticRegressionTrain { |
| <span class="kw">pub const </span>NAME: <span class="kw-2">&</span><span class="lifetime">'static </span>str = <span class="string">"builtin-logistic-regression-train"</span>; |
| |
| <span class="kw">pub fn </span>new() -> <span class="self">Self </span>{ |
| Default::default() |
| } |
| |
| <span class="kw">pub fn </span>run( |
| <span class="kw-2">&</span><span class="self">self</span>, |
| arguments: FunctionArguments, |
| runtime: FunctionRuntime, |
| ) -> anyhow::Result<String> { |
| <span class="kw">let </span>args = LogisticRegressionTrainArguments::try_from(arguments)<span class="question-mark">?</span>; |
| |
| <span class="kw">let </span>input = runtime.open_input(TRAINING_DATA)<span class="question-mark">?</span>; |
| <span class="kw">let </span>(flattend_features, targets) = parse_training_data(input, args.feature_size)<span class="question-mark">?</span>; |
| <span class="kw">let </span>data_size = targets.len(); |
| <span class="kw">let </span>data_matrix = linalg::Matrix::new(data_size, args.feature_size, flattend_features); |
| <span class="kw">let </span>targets = linalg::Vector::new(targets); |
| |
| <span class="kw">let </span>gd = GradientDesc::new(args.alg_alpha, args.alg_iters); |
| <span class="kw">let </span><span class="kw-2">mut </span>lr = LogisticRegressor::new(gd); |
| lr.train(<span class="kw-2">&</span>data_matrix, <span class="kw-2">&</span>targets)<span class="question-mark">?</span>; |
| <span class="kw">let </span>model = Model::new( |
| args.alg_alpha, |
| args.alg_iters, |
| lr.parameters().unwrap().data().to_owned(), |
| ); |
| |
| <span class="kw">let </span>model_json = serde_json::to_string(<span class="kw-2">&</span>model)<span class="question-mark">?</span>; |
| <span class="kw">let </span><span class="kw-2">mut </span>model_file = runtime.create_output(OUT_MODEL_FILE)<span class="question-mark">?</span>; |
| model_file.write_all(model_json.as_bytes())<span class="question-mark">?</span>; |
| |
| <span class="prelude-val">Ok</span>(<span class="macro">format!</span>(<span class="string">"Trained {} lines of data."</span>, data_size)) |
| } |
| } |
| |
| <span class="comment">// LogisticRegressor does not support serde, so we use this intermedia structure |
| </span><span class="attribute">#[derive(Debug, serde::Serialize, serde::Deserialize)] |
| </span><span class="kw">pub struct </span>Model { |
| <span class="comment">// for GradientDesc |
| </span>alpha: f64, |
| iters: usize, |
| <span class="comment">// for BaseLogisticRegressor |
| </span>parameters: Vec<f64>, |
| } |
| |
| <span class="kw">impl </span>Model { |
| <span class="kw">pub fn </span>new(alpha: f64, iters: usize, parameters: Vec<f64>) -> <span class="self">Self </span>{ |
| <span class="self">Self </span>{ |
| alpha, |
| iters, |
| parameters, |
| } |
| } |
| |
| <span class="kw">pub fn </span>alg(<span class="kw-2">&</span><span class="self">self</span>) -> GradientDesc { |
| GradientDesc::new(<span class="self">self</span>.alpha, <span class="self">self</span>.iters) |
| } |
| |
| <span class="kw">pub fn </span>parameters(<span class="kw-2">&</span><span class="self">self</span>) -> linalg::Vector<f64> { |
| linalg::Vector::from(<span class="self">self</span>.parameters.as_slice()) |
| } |
| } |
| |
| <span class="kw">fn </span>parse_training_data( |
| input: <span class="kw">impl </span>io::Read, |
| feature_size: usize, |
| ) -> anyhow::Result<(Vec<f64>, Vec<f64>)> { |
| <span class="kw">let </span>reader = BufReader::new(input); |
| <span class="kw">let </span><span class="kw-2">mut </span>targets = Vec::<f64>::new(); |
| <span class="kw">let </span><span class="kw-2">mut </span>features = Vec::new(); |
| |
| <span class="kw">for </span>line_result <span class="kw">in </span>reader.lines() { |
| <span class="kw">let </span>line = line_result<span class="question-mark">?</span>; |
| <span class="kw">let </span>trimed_line = line.trim(); |
| <span class="macro">anyhow::ensure!</span>(!trimed_line.is_empty(), <span class="string">"Empty line"</span>); |
| |
| <span class="kw">let </span><span class="kw-2">mut </span>v: Vec<f64> = trimed_line |
| .split(<span class="string">','</span>) |
| .map(|x| x.parse::<f64>()) |
| .collect::<std::result::Result<<span class="kw">_</span>, <span class="kw">_</span>>>()<span class="question-mark">?</span>; |
| |
| <span class="macro">anyhow::ensure!</span>( |
| v.len() == feature_size + <span class="number">1</span>, |
| <span class="string">"Data format error: column len = {}, expected = {}"</span>, |
| v.len(), |
| feature_size + <span class="number">1 |
| </span>); |
| |
| <span class="kw">let </span>label = v.swap_remove(feature_size); |
| targets.push(label); |
| features.extend(v); |
| } |
| |
| <span class="prelude-val">Ok</span>((features, targets)) |
| } |
| |
| <span class="attribute">#[cfg(feature = <span class="string">"enclave_unit_test"</span>)] |
| </span><span class="kw">pub mod </span>tests { |
| <span class="kw">use super</span>::<span class="kw-2">*</span>; |
| <span class="kw">use </span>serde_json::json; |
| <span class="kw">use </span>std::path::Path; |
| <span class="kw">use </span>std::untrusted::fs; |
| <span class="kw">use </span>teaclave_crypto::<span class="kw-2">*</span>; |
| <span class="kw">use </span>teaclave_runtime::<span class="kw-2">*</span>; |
| <span class="kw">use </span>teaclave_test_utils::<span class="kw-2">*</span>; |
| <span class="kw">use </span>teaclave_types::<span class="kw-2">*</span>; |
| |
| <span class="kw">pub fn </span>run_tests() -> bool { |
| <span class="macro">run_tests!</span>(test_logistic_regression_train) |
| } |
| |
| <span class="kw">fn </span>test_logistic_regression_train() { |
| <span class="kw">let </span>arguments = FunctionArguments::from_json(<span class="macro">json!</span>({ |
| <span class="string">"alg_alpha"</span>: <span class="number">0.3</span>, |
| <span class="string">"alg_iters"</span>: <span class="number">100</span>, |
| <span class="string">"feature_size"</span>: <span class="number">30 |
| </span>})) |
| .unwrap(); |
| |
| <span class="kw">let </span>base = Path::new(<span class="string">"fixtures/functions/logistic_regression_training"</span>); |
| <span class="kw">let </span>training_data = base.join(<span class="string">"train.txt"</span>); |
| <span class="kw">let </span>plain_output = base.join(<span class="string">"model.txt.out"</span>); |
| <span class="kw">let </span>expected_output = base.join(<span class="string">"expected_model.txt"</span>); |
| |
| <span class="kw">let </span>input_files = StagedFiles::new(<span class="macro">hashmap!</span>( |
| TRAINING_DATA => |
| StagedFileInfo::new(<span class="kw-2">&</span>training_data, TeaclaveFile128Key::random(), FileAuthTag::mock()), |
| )); |
| |
| <span class="kw">let </span>output_files = StagedFiles::new(<span class="macro">hashmap!</span>( |
| OUT_MODEL_FILE => |
| StagedFileInfo::new(<span class="kw-2">&</span>plain_output, TeaclaveFile128Key::random(), FileAuthTag::mock()) |
| )); |
| |
| <span class="kw">let </span>runtime = Box::new(RawIoRuntime::new(input_files, output_files)); |
| |
| <span class="kw">let </span>summary = LogisticRegressionTrain::new() |
| .run(arguments, runtime) |
| .unwrap(); |
| <span class="macro">assert_eq!</span>(summary, <span class="string">"Trained 100 lines of data."</span>); |
| |
| <span class="kw">let </span>result = fs::read_to_string(<span class="kw-2">&</span>plain_output).unwrap(); |
| <span class="kw">let </span>expected = fs::read_to_string(<span class="kw-2">&</span>expected_output).unwrap(); |
| <span class="macro">assert_eq!</span>(<span class="kw-2">&</span>result[..], <span class="kw-2">&</span>expected[..]); |
| } |
| } |
| </code></pre></div> |
| </section></div></main><div id="rustdoc-vars" data-root-path="../../" data-current-crate="teaclave_function" data-themes="ayu,dark,light" data-resource-suffix="" data-rustdoc-version="1.66.0-nightly (5c8bff74b 2022-10-21)" ></div></body></html> |
