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| </pre><pre class="rust"><code><span class="doccomment">//! The Shuffler |
| //! |
| //! This module contains the `Shuffler` transformer. `Shuffler` implements the |
| //! `Transformer` trait and is used to shuffle the rows of an input matrix. |
| //! You can control the random number generator used by the `Shuffler`. |
| //! |
| //! # Examples |
| //! |
| //! ``` |
| //! use rusty_machine::linalg::Matrix; |
| //! use rusty_machine::data::transforms::Transformer; |
| //! use rusty_machine::data::transforms::shuffle::Shuffler; |
| //! |
| //! // Create an input matrix that we want to shuffle |
| //! let mat = Matrix::new(3, 2, vec![1.0, 2.0, |
| //! 3.0, 4.0, |
| //! 5.0, 6.0]); |
| //! |
| //! // Create a new shuffler |
| //! let mut shuffler = Shuffler::default(); |
| //! let shuffled_mat = shuffler.transform(mat).unwrap(); |
| //! |
| //! println!("{}", shuffled_mat); |
| //! ``` |
| |
| </span><span class="kw">use </span>learning::LearningResult; |
| <span class="kw">use </span>linalg::{Matrix, BaseMatrix, BaseMatrixMut}; |
| <span class="kw">use </span><span class="kw">super</span>::Transformer; |
| |
| <span class="kw">use </span>rand::{Rng, thread_rng, rngs::ThreadRng}; |
| |
| <span class="doccomment">/// The `Shuffler` |
| /// |
| /// Provides an implementation of `Transformer` which shuffles |
| /// the input rows in place. |
| </span><span class="attribute">#[derive(Debug)] |
| </span><span class="kw">pub struct </span>Shuffler<R: Rng> { |
| rng: R, |
| } |
| |
| <span class="kw">impl</span><R: Rng> Shuffler<R> { |
| <span class="doccomment">/// Construct a new `Shuffler` with given random number generator. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// # extern crate rand; |
| /// # extern crate rusty_machine; |
| /// |
| /// use rusty_machine::data::transforms::Transformer; |
| /// use rusty_machine::data::transforms::shuffle::Shuffler; |
| /// use rand::{StdRng, SeedableRng}; |
| /// |
| /// # fn main() { |
| /// // We can create a seeded rng |
| /// let rng = StdRng::from_seed(&[1, 2, 3]); |
| /// |
| /// let shuffler = Shuffler::new(rng); |
| /// # } |
| /// ``` |
| </span><span class="kw">pub fn </span>new(rng: R) -> <span class="self">Self </span>{ |
| Shuffler { rng: rng } |
| } |
| } |
| |
| <span class="doccomment">/// Create a new shuffler using the `rand::thread_rng` function |
| /// to provide a randomly seeded random number generator. |
| </span><span class="kw">impl </span>Default <span class="kw">for </span>Shuffler<ThreadRng> { |
| <span class="kw">fn </span>default() -> <span class="self">Self </span>{ |
| Shuffler { rng: thread_rng() } |
| } |
| } |
| |
| <span class="doccomment">/// The `Shuffler` will transform the input `Matrix` by shuffling |
| /// its rows in place. |
| /// |
| /// Under the hood this uses a Fisher-Yates shuffle. |
| </span><span class="kw">impl</span><R: Rng, T> Transformer<Matrix<T>> <span class="kw">for </span>Shuffler<R> { |
| <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">let </span>n = inputs.rows(); |
| |
| <span class="kw">for </span>i <span class="kw">in </span><span class="number">0</span>..n { |
| <span class="comment">// Swap i with a random point after it |
| </span><span class="kw">let </span>j = <span class="self">self</span>.rng.gen_range(<span class="number">0</span>..n - i); |
| inputs.swap_rows(i, i + j); |
| } |
| <span class="prelude-val">Ok</span>(inputs) |
| } |
| } |
| |
| <span class="attribute">#[cfg(test)] |
| </span><span class="kw">mod </span>tests { |
| <span class="kw">use </span>linalg::Matrix; |
| <span class="kw">use </span><span class="kw">super</span>::<span class="kw">super</span>::Transformer; |
| <span class="kw">use </span><span class="kw">super</span>::Shuffler; |
| |
| <span class="kw">use </span>rand::{StdRng, SeedableRng}; |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>seeded_shuffle() { |
| <span class="kw">let </span>rng = StdRng::from_seed(<span class="kw-2">&</span>[<span class="number">1</span>, <span class="number">2</span>, <span class="number">3</span>]); |
| <span class="kw">let </span><span class="kw-2">mut </span>shuffler = Shuffler::new(rng); |
| |
| <span class="kw">let </span>mat = Matrix::new(<span class="number">4</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="number">3.0</span>, <span class="number">4.0</span>, <span class="number">5.0</span>, <span class="number">6.0</span>, <span class="number">7.0</span>, <span class="number">8.0</span>]); |
| <span class="kw">let </span>shuffled = shuffler.transform(mat).unwrap(); |
| |
| <span class="macro">assert_eq!</span>(shuffled.into_vec(), |
| <span class="macro">vec!</span>[<span class="number">3.0</span>, <span class="number">4.0</span>, <span class="number">1.0</span>, <span class="number">2.0</span>, <span class="number">7.0</span>, <span class="number">8.0</span>, <span class="number">5.0</span>, <span class="number">6.0</span>]); |
| } |
| |
| <span class="attribute">#[test] |
| </span><span class="kw">fn </span>shuffle_single_row() { |
| <span class="kw">let </span><span class="kw-2">mut </span>shuffler = Shuffler::default(); |
| |
| <span class="kw">let </span>mat = Matrix::new(<span class="number">1</span>, <span class="number">8</span>, <span class="macro">vec!</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="number">7.0</span>, <span class="number">8.0</span>]); |
| <span class="kw">let </span>shuffled = shuffler.transform(mat).unwrap(); |
| |
| <span class="macro">assert_eq!</span>(shuffled.into_vec(), |
| <span class="macro">vec!</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="number">7.0</span>, <span class="number">8.0</span>]); |
| } |
| } |
| </code></pre></div> |
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