| <!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/data/transforms/standardize.rs`."><meta name="keywords" content="rust, rustlang, rust-lang"><title>standardize.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> |
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| </pre><pre class="rust"><code><span class="doccomment">//! The Standardizing Transformer |
| //! |
| //! This module contains the `Standardizer` transformer. |
| //! |
| //! The `Standardizer` transformer is used to transform input data |
| //! so that the mean and standard deviation of each column are as |
| //! specified. This is commonly used to transform the data to have `0` mean |
| //! and a standard deviation of `1`. |
| //! |
| //! # Examples |
| //! |
| //! ``` |
| //! use rusty_machine::data::transforms::{Transformer, TransformFitter, StandardizerFitter}; |
| //! use rusty_machine::linalg::Matrix; |
| //! |
| //! let inputs = Matrix::new(2, 2, vec![-1.0, 2.0, 1.5, 3.0]); |
| //! |
| //! // Constructs a new `Standardizer` to map to mean 0 and standard |
| //! // deviation of 1. |
| //! let mut transformer = StandardizerFitter::default().fit(&inputs).unwrap(); |
| //! |
| //! // Transform the inputs to get output data with required mean and |
| //! // standard deviation. |
| //! let transformed = transformer.transform(inputs).unwrap(); |
| //! ``` |
| |
| </span><span class="kw">use </span>learning::LearningResult; |
| <span class="kw">use </span>learning::error::{Error, ErrorKind}; |
| <span class="kw">use </span>linalg::{Matrix, Vector, Axes, BaseMatrix, BaseMatrixMut}; |
| <span class="kw">use super</span>::{Invertible, Transformer, TransformFitter}; |
| |
| <span class="kw">use </span>rulinalg::utils; |
| |
| <span class="kw">use </span>libnum::{Float, FromPrimitive}; |
| |
| <span class="doccomment">/// A builder used to construct a `Standardizer` |
| </span><span class="attribute">#[derive(Debug)] |
| </span><span class="kw">pub struct </span>StandardizerFitter<T: Float> { |
| scaled_mean: T, |
| scaled_stdev: T |
| } |
| |
| <span class="kw">impl</span><T: Float> Default <span class="kw">for </span>StandardizerFitter<T> { |
| <span class="kw">fn </span>default() -> <span class="self">Self </span>{ |
| StandardizerFitter { |
| scaled_mean: T::zero(), |
| scaled_stdev: T::one() |
| } |
| } |
| } |
| |
| <span class="kw">impl</span><T: Float> StandardizerFitter<T> { |
| <span class="doccomment">/// Construct a new `StandardizerFitter` with |
| /// specified mean and standard deviation. |
| /// |
| /// Note that this function does not create a `Transformer` |
| /// only a builder which can be used to produce a fitted `Transformer`. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// use rusty_machine::data::transforms::StandardizerFitter; |
| /// use rusty_machine::linalg::Matrix; |
| /// |
| /// let fitter = StandardizerFitter::new(0.0, 1.0); |
| /// |
| /// // We can call `fit` from the `transform::TransformFitter` |
| /// // trait to create a `Standardizer` used to actually transform data. |
| /// use rusty_machine::data::transforms::TransformFitter; |
| /// let mat = Matrix::new(2, 2, vec![1.0, 2.0, 3.0, 5.0]); |
| /// let transformer = fitter.fit(&mat); |
| /// ``` |
| </span><span class="kw">pub fn </span>new(mean: T, stdev: T) -> StandardizerFitter<T> { |
| StandardizerFitter { |
| scaled_mean: mean, |
| scaled_stdev: stdev |
| } |
| } |
| } |
| |
| <span class="kw">impl</span><T: Float + FromPrimitive> TransformFitter<Matrix<T>, Standardizer<T>> <span class="kw">for </span>StandardizerFitter<T> { |
| <span class="kw">fn </span>fit(<span class="self">self</span>, inputs: <span class="kw-2">&</span>Matrix<T>) -> LearningResult<Standardizer<T>> { |
| <span class="kw">if </span>inputs.rows() <= <span class="number">1 </span>{ |
| <span class="prelude-val">Err</span>(Error::new(ErrorKind::InvalidData, |
| <span class="string">"Cannot standardize data with only one row."</span>)) |
| } <span class="kw">else </span>{ |
| <span class="kw">let </span>mean = inputs.mean(Axes::Row); |
| <span class="kw">let </span>variance = inputs.variance(Axes::Row).map_err(|<span class="kw">_</span>| { |
| Error::new(ErrorKind::InvalidData, <span class="string">"Cannot compute variance of data."</span>) |
| })<span class="question-mark">?</span>; |
| |
| <span class="kw">if </span>mean.data().iter().any(|x| !x.is_finite()) { |
| <span class="kw">return </span><span class="prelude-val">Err</span>(Error::new(ErrorKind::InvalidData, <span class="string">"Some data point is non-finite."</span>)); |
| } |
| |
| <span class="prelude-val">Ok</span>(Standardizer { |
| means: mean, |
| variances: variance, |
| scaled_mean: <span class="self">self</span>.scaled_mean, |
| scaled_stdev: <span class="self">self</span>.scaled_stdev |
| }) |
| } |
| } |
| } |
| |
| <span class="doccomment">/// The Standardizer |
| /// |
| /// The Standardizer provides an implementation of `Transformer` |
| /// which allows us to transform the input data to have a new mean |
| /// and standard deviation. |
| /// |
| /// See the module description for more information. |
| </span><span class="attribute">#[derive(Debug)] |
| </span><span class="kw">pub struct </span>Standardizer<T: Float> { |
| <span class="doccomment">/// Means per column of input data |
| </span>means: Vector<T>, |
| <span class="doccomment">/// Variances per column of input data |
| </span>variances: Vector<T>, |
| <span class="doccomment">/// The mean of the new data (default 0) |
| </span>scaled_mean: T, |
| <span class="doccomment">/// The standard deviation of the new data (default 1) |
| </span>scaled_stdev: T, |
| } |
| |
| <span class="kw">impl</span><T: Float + FromPrimitive> Transformer<Matrix<T>> <span class="kw">for </span>Standardizer<T> { |
| <span class="kw">fn </span>transform(<span class="kw-2">&mut </span><span class="self">self</span>, <span class="kw-2">mut </span>inputs: Matrix<T>) -> LearningResult<Matrix<T>> { |
| <span class="kw">if </span><span class="self">self</span>.means.size() != inputs.cols() { |
| <span class="prelude-val">Err</span>(Error::new(ErrorKind::InvalidData, |
| <span class="string">"Input data has different number of columns from fitted data."</span>)) |
| } <span class="kw">else </span>{ |
| <span class="kw">for </span><span class="kw-2">mut </span>row <span class="kw">in </span>inputs.row_iter_mut() { |
| <span class="comment">// Subtract the mean |
| </span>utils::in_place_vec_bin_op(row.raw_slice_mut(), <span class="self">self</span>.means.data(), |x, <span class="kw-2">&</span>y| <span class="kw-2">*</span>x = <span class="kw-2">*</span>x - y); |
| utils::in_place_vec_bin_op(row.raw_slice_mut(), <span class="self">self</span>.variances.data(), |x, <span class="kw-2">&</span>y| { |
| <span class="kw-2">*</span>x = (<span class="kw-2">*</span>x * <span class="self">self</span>.scaled_stdev / y.sqrt()) + <span class="self">self</span>.scaled_mean |
| }); |
| } |
| <span class="prelude-val">Ok</span>(inputs) |
| } |
| } |
| } |
| |
| <span class="kw">impl</span><T: Float + FromPrimitive> Invertible<Matrix<T>> <span class="kw">for </span>Standardizer<T> { |
| <span class="kw">fn </span>inv_transform(<span class="kw-2">&</span><span class="self">self</span>, <span class="kw-2">mut </span>inputs: Matrix<T>) -> LearningResult<Matrix<T>> { |
| <span class="kw">let </span>features = <span class="self">self</span>.means.size(); |
| <span class="kw">if </span>inputs.cols() != features { |
| <span class="kw">return </span><span class="prelude-val">Err</span>(Error::new(ErrorKind::InvalidData, |
| <span class="string">"Inputs have different feature count than transformer."</span>)); |
| } |
| |
| <span class="kw">for </span><span class="kw-2">mut </span>row <span class="kw">in </span>inputs.row_iter_mut() { |
| utils::in_place_vec_bin_op(row.raw_slice_mut(), <span class="self">self</span>.variances.data(), |x, <span class="kw-2">&</span>y| { |
| <span class="kw-2">*</span>x = (<span class="kw-2">*</span>x - <span class="self">self</span>.scaled_mean) * y.sqrt() / <span class="self">self</span>.scaled_stdev |
| }); |
| |
| <span class="comment">// Add the mean |
| </span>utils::in_place_vec_bin_op(row.raw_slice_mut(), <span class="self">self</span>.means.data(), |x, <span class="kw-2">&</span>y| <span class="kw-2">*</span>x = <span class="kw-2">*</span>x + y); |
| } |
| |
| <span class="prelude-val">Ok</span>(inputs) |
| } |
| } |
| |
| <span class="attribute">#[cfg(test)] |
| </span><span class="kw">mod </span>tests { |
| <span class="kw">use super</span>::<span class="kw-2">*</span>; |
| <span class="kw">use </span><span class="kw">super</span>::<span class="kw">super</span>::{Transformer, TransformFitter, Invertible}; |
| <span class="kw">use </span>linalg::{Axes, Matrix}; |
| |
| <span class="kw">use </span>std::f64; |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>single_row_test() { |
| <span class="kw">let </span>inputs = Matrix::new(<span class="number">1</span>, <span class="number">2</span>, <span class="macro">vec!</span>[<span class="number">1.0</span>, <span class="number">2.0</span>]); |
| |
| <span class="kw">let </span>standardizer = StandardizerFitter::default(); |
| <span class="kw">let </span>transformer = standardizer.fit(<span class="kw-2">&</span>inputs); |
| <span class="macro">assert!</span>(transformer.is_err()); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>nan_data_test() { |
| <span class="kw">let </span>inputs = Matrix::new(<span class="number">2</span>, <span class="number">2</span>, <span class="macro">vec!</span>[f64::NAN; <span class="number">4</span>]); |
| |
| <span class="kw">let </span>standardizer = StandardizerFitter::default(); |
| <span class="kw">let </span>transformer = standardizer.fit(<span class="kw-2">&</span>inputs); |
| <span class="macro">assert!</span>(transformer.is_err()); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>inf_data_test() { |
| <span class="kw">let </span>inputs = Matrix::new(<span class="number">2</span>, <span class="number">2</span>, <span class="macro">vec!</span>[f64::INFINITY; <span class="number">4</span>]); |
| |
| <span class="kw">let </span>standardizer = StandardizerFitter::default(); |
| <span class="kw">let </span>transformer = standardizer.fit(<span class="kw-2">&</span>inputs); |
| <span class="macro">assert!</span>(transformer.is_err()); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>wrong_transform_size_test() { |
| <span class="kw">let </span>inputs = Matrix::new(<span class="number">2</span>, <span class="number">2</span>, <span class="macro">vec!</span>[-<span class="number">1.0f32</span>, <span class="number">2.0</span>, <span class="number">0.0</span>, <span class="number">3.0</span>]); |
| |
| <span class="kw">let </span><span class="kw-2">mut </span>standardizer = StandardizerFitter::default().fit(<span class="kw-2">&</span>inputs).unwrap(); |
| <span class="kw">let </span>res = standardizer.transform(<span class="macro">matrix!</span>[<span class="number">1.0</span>, <span class="number">2.0</span>, <span class="number">3.0</span>; <span class="number">4.0</span>, <span class="number">5.0</span>, <span class="number">6.0</span>]); |
| <span class="macro">assert!</span>(res.is_err()); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>basic_standardize_test() { |
| <span class="kw">let </span>inputs = Matrix::new(<span class="number">2</span>, <span class="number">2</span>, <span class="macro">vec!</span>[-<span class="number">1.0f32</span>, <span class="number">2.0</span>, <span class="number">0.0</span>, <span class="number">3.0</span>]); |
| |
| <span class="kw">let </span><span class="kw-2">mut </span>standardizer = StandardizerFitter::default().fit(<span class="kw-2">&</span>inputs).unwrap(); |
| <span class="kw">let </span>transformed = standardizer.transform(inputs).unwrap(); |
| |
| <span class="kw">let </span>new_mean = transformed.mean(Axes::Row); |
| <span class="kw">let </span>new_var = transformed.variance(Axes::Row).unwrap(); |
| |
| <span class="macro">assert!</span>(new_mean.data().iter().all(|x| x.abs() < <span class="number">1e-5</span>)); |
| <span class="macro">assert!</span>(new_var.data().iter().all(|x| (x.abs() - <span class="number">1.0</span>) < <span class="number">1e-5</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>custom_standardize_test() { |
| <span class="kw">let </span>inputs = Matrix::new(<span class="number">2</span>, <span class="number">2</span>, <span class="macro">vec!</span>[-<span class="number">1.0f32</span>, <span class="number">2.0</span>, <span class="number">0.0</span>, <span class="number">3.0</span>]); |
| |
| <span class="kw">let </span><span class="kw-2">mut </span>standardizer = StandardizerFitter::new(<span class="number">1.0</span>, <span class="number">2.0</span>).fit(<span class="kw-2">&</span>inputs).unwrap(); |
| <span class="kw">let </span>transformed = standardizer.transform(inputs).unwrap(); |
| |
| <span class="kw">let </span>new_mean = transformed.mean(Axes::Row); |
| <span class="kw">let </span>new_var = transformed.variance(Axes::Row).unwrap(); |
| |
| <span class="macro">assert!</span>(new_mean.data().iter().all(|x| (x.abs() - <span class="number">1.0</span>) < <span class="number">1e-5</span>)); |
| <span class="macro">assert!</span>(new_var.data().iter().all(|x| (x.abs() - <span class="number">4.0</span>) < <span class="number">1e-5</span>)); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>inv_transform_identity_test() { |
| <span class="kw">let </span>inputs = Matrix::new(<span class="number">2</span>, <span class="number">2</span>, <span class="macro">vec!</span>[-<span class="number">1.0f32</span>, <span class="number">2.0</span>, <span class="number">0.0</span>, <span class="number">3.0</span>]); |
| |
| <span class="kw">let </span><span class="kw-2">mut </span>standardizer = StandardizerFitter::new(<span class="number">1.0</span>, <span class="number">3.0</span>).fit(<span class="kw-2">&</span>inputs).unwrap(); |
| <span class="kw">let </span>transformed = standardizer.transform(inputs.clone()).unwrap(); |
| |
| <span class="kw">let </span>original = standardizer.inv_transform(transformed).unwrap(); |
| |
| <span class="macro">assert!</span>((inputs - original).data().iter().all(|x| x.abs() < <span class="number">1e-5</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> |