| <!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="Neural Network Model"><meta name="keywords" content="rust, rustlang, rust-lang, NeuralNet"><title>NeuralNet in rusty_machine::learning::nnet - Rust</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 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class="sidebar-menu-toggle">☰</button><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><h2></h2></nav><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><h2 class="location"><a href="#">NeuralNet</a></h2><div class="sidebar-elems"><section><h3><a href="#implementations">Methods</a></h3><ul class="block"><li><a href="#method.add">add</a></li><li><a href="#method.add_layers">add_layers</a></li><li><a href="#method.default">default</a></li><li><a href="#method.get_net_weights">get_net_weights</a></li><li><a href="#method.mlp">mlp</a></li><li><a href="#method.new">new</a></li></ul><h3><a href="#trait-implementations">Trait Implementations</a></h3><ul class="block"><li><a href="#impl-Debug-for-NeuralNet%3CT%2C%20A%3E">Debug</a></li><li><a href="#impl-SupModel%3CMatrix%3Cf64%3E%2C%20Matrix%3Cf64%3E%3E-for-NeuralNet%3CT%2C%20A%3E">SupModel<Matrix<f64>, Matrix<f64>></a></li></ul><h3><a href="#synthetic-implementations">Auto Trait Implementations</a></h3><ul class="block"><li><a href="#impl-RefUnwindSafe-for-NeuralNet%3CT%2C%20A%3E">!RefUnwindSafe</a></li><li><a href="#impl-Send-for-NeuralNet%3CT%2C%20A%3E">!Send</a></li><li><a href="#impl-Sync-for-NeuralNet%3CT%2C%20A%3E">!Sync</a></li><li><a href="#impl-Unpin-for-NeuralNet%3CT%2C%20A%3E">Unpin</a></li><li><a href="#impl-UnwindSafe-for-NeuralNet%3CT%2C%20A%3E">!UnwindSafe</a></li></ul><h3><a href="#blanket-implementations">Blanket Implementations</a></h3><ul class="block"><li><a href="#impl-Any-for-NeuralNet%3CT%2C%20A%3E">Any</a></li><li><a href="#impl-Borrow%3CT%3E-for-NeuralNet%3CT%2C%20A%3E">Borrow<T></a></li><li><a href="#impl-BorrowMut%3CT%3E-for-NeuralNet%3CT%2C%20A%3E">BorrowMut<T></a></li><li><a href="#impl-From%3CT%3E-for-NeuralNet%3CT%2C%20A%3E">From<T></a></li><li><a href="#impl-Into%3CU%3E-for-NeuralNet%3CT%2C%20A%3E">Into<U></a></li><li><a href="#impl-TryFrom%3CU%3E-for-NeuralNet%3CT%2C%20A%3E">TryFrom<U></a></li><li><a href="#impl-TryInto%3CU%3E-for-NeuralNet%3CT%2C%20A%3E">TryInto<U></a></li><li><a href="#impl-VZip%3CV%3E-for-NeuralNet%3CT%2C%20A%3E">VZip<V></a></li></ul></section><h2><a href="index.html">In rusty_machine::learning::nnet</a></h2></div></nav><main><div class="width-limiter"><nav class="sub"><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="main-heading"><h1 class="fqn">Struct <a href="../../index.html">rusty_machine</a>::<wbr><a href="../index.html">learning</a>::<wbr><a href="index.html">nnet</a>::<wbr><a class="struct" href="#">NeuralNet</a><button id="copy-path" onclick="copy_path(this)" title="Copy item path to clipboard"><img src="../../../clipboard.svg" width="19" height="18" alt="Copy item path"></button></h1><span class="out-of-band"><a class="srclink" href="../../../src/rusty_machine/learning/nnet/mod.rs.html#68-74">source</a> · <a id="toggle-all-docs" href="javascript:void(0)" title="collapse all docs">[<span class="inner">−</span>]</a></span></div><div class="item-decl"><pre class="rust struct"><code>pub struct NeuralNet<T, A><span class="where fmt-newline">where<br> T: <a class="trait" href="trait.Criterion.html" title="trait rusty_machine::learning::nnet::Criterion">Criterion</a>,<br> A: <a class="trait" href="../optim/trait.OptimAlgorithm.html" title="trait rusty_machine::learning::optim::OptimAlgorithm">OptimAlgorithm</a><<a class="struct" href="struct.BaseNeuralNet.html" title="struct rusty_machine::learning::nnet::BaseNeuralNet">BaseNeuralNet</a><T>>,</span>{ /* private fields */ }</code></pre></div><details class="rustdoc-toggle top-doc" open><summary class="hideme"><span>Expand description</span></summary><div class="docblock"><p>Neural Network Model</p> |
| <p>The Neural Network struct specifies a <code>Criterion</code> and |
| a gradient descent algorithm.</p> |
| </div></details><h2 id="implementations" class="small-section-header">Implementations<a href="#implementations" class="anchor"></a></h2><div id="implementations-list"><details class="rustdoc-toggle implementors-toggle" open><summary><section id="impl-NeuralNet%3CBCECriterion%2C%20StochasticGD%3E" class="impl has-srclink"><a class="srclink rightside" href="../../../src/rusty_machine/learning/nnet/mod.rs.html#96-119">source</a><a href="#impl-NeuralNet%3CBCECriterion%2C%20StochasticGD%3E" class="anchor"></a><h3 class="code-header">impl <a class="struct" href="struct.NeuralNet.html" title="struct rusty_machine::learning::nnet::NeuralNet">NeuralNet</a><<a class="struct" href="struct.BCECriterion.html" title="struct rusty_machine::learning::nnet::BCECriterion">BCECriterion</a>, <a class="struct" href="../optim/grad_desc/struct.StochasticGD.html" title="struct rusty_machine::learning::optim::grad_desc::StochasticGD">StochasticGD</a>></h3></section></summary><div class="impl-items"><details class="rustdoc-toggle method-toggle" open><summary><section id="method.default" class="method has-srclink"><a class="srclink rightside" href="../../../src/rusty_machine/learning/nnet/mod.rs.html#113-118">source</a><h4 class="code-header">pub fn <a href="#method.default" class="fnname">default</a>(layer_sizes: &[usize]) -> <a class="struct" href="struct.NeuralNet.html" title="struct rusty_machine::learning::nnet::NeuralNet">NeuralNet</a><<a class="struct" href="struct.BCECriterion.html" title="struct rusty_machine::learning::nnet::BCECriterion">BCECriterion</a>, <a class="struct" href="../optim/grad_desc/struct.StochasticGD.html" title="struct rusty_machine::learning::optim::grad_desc::StochasticGD">StochasticGD</a>></h4></section></summary><div class="docblock"><p>Creates a neural network with the specified layer sizes.</p> |
| <p>The layer sizes slice should include the input, hidden layers, and output layer sizes. |
| The type of activation function must be specified.</p> |
| <p>Uses the default settings (stochastic gradient descent and sigmoid activation function).</p> |
| <h5 id="examples"><a href="#examples">Examples</a></h5> |
| <div class="example-wrap"><pre class="rust rust-example-rendered"><code><span class="kw">use </span>rusty_machine::learning::nnet::NeuralNet; |
| |
| <span class="comment">// Create a neural net with 4 layers, 3 neurons in each. |
| </span><span class="kw">let </span>layers = <span class="kw-2">&</span>[<span class="number">3</span>; <span class="number">4</span>]; |
| <span class="kw">let </span><span class="kw-2">mut </span>net = NeuralNet::default(layers);</code></pre></div> |
| </div></details></div></details><details class="rustdoc-toggle implementors-toggle" open><summary><section id="impl-NeuralNet%3CT%2C%20A%3E" class="impl has-srclink"><a class="srclink rightside" href="../../../src/rusty_machine/learning/nnet/mod.rs.html#121-242">source</a><a href="#impl-NeuralNet%3CT%2C%20A%3E" class="anchor"></a><h3 class="code-header">impl<T, A> <a class="struct" href="struct.NeuralNet.html" title="struct rusty_machine::learning::nnet::NeuralNet">NeuralNet</a><T, A><span class="where fmt-newline">where<br> T: <a class="trait" href="trait.Criterion.html" title="trait rusty_machine::learning::nnet::Criterion">Criterion</a>,<br> A: <a class="trait" href="../optim/trait.OptimAlgorithm.html" title="trait rusty_machine::learning::optim::OptimAlgorithm">OptimAlgorithm</a><<a class="struct" href="struct.BaseNeuralNet.html" title="struct rusty_machine::learning::nnet::BaseNeuralNet">BaseNeuralNet</a><T>>,</span></h3></section></summary><div class="impl-items"><details class="rustdoc-toggle method-toggle" open><summary><section id="method.new" class="method has-srclink"><a class="srclink rightside" href="../../../src/rusty_machine/learning/nnet/mod.rs.html#137-142">source</a><h4 class="code-header">pub fn <a href="#method.new" class="fnname">new</a>(criterion: T, alg: A) -> <a class="struct" href="struct.NeuralNet.html" title="struct rusty_machine::learning::nnet::NeuralNet">NeuralNet</a><T, A></h4></section></summary><div class="docblock"><p>Create a new neural network with no layers</p> |
| <h5 id="examples-1"><a href="#examples-1">Examples</a></h5> |
| <div class="example-wrap"><pre class="rust rust-example-rendered"><code><span class="kw">use </span>rusty_machine::learning::nnet::BCECriterion; |
| <span class="kw">use </span>rusty_machine::learning::nnet::NeuralNet; |
| <span class="kw">use </span>rusty_machine::learning::optim::grad_desc::StochasticGD; |
| |
| <span class="comment">// Create a an empty neural net |
| </span><span class="kw">let </span><span class="kw-2">mut </span>net = NeuralNet::new(BCECriterion::default(), StochasticGD::default());</code></pre></div> |
| </div></details><details class="rustdoc-toggle method-toggle" open><summary><section id="method.mlp" class="method has-srclink"><a class="srclink rightside" href="../../../src/rusty_machine/learning/nnet/mod.rs.html#163-169">source</a><h4 class="code-header">pub fn <a href="#method.mlp" class="fnname">mlp</a><U>(<br> layer_sizes: &[usize],<br> criterion: T,<br> alg: A,<br> activ_fn: U<br>) -> <a class="struct" href="struct.NeuralNet.html" title="struct rusty_machine::learning::nnet::NeuralNet">NeuralNet</a><T, A><span class="where fmt-newline">where<br> U: <a class="trait" href="../toolkit/activ_fn/trait.ActivationFunc.html" title="trait rusty_machine::learning::toolkit::activ_fn::ActivationFunc">ActivationFunc</a> + 'static,</span></h4></section></summary><div class="docblock"><p>Create a multilayer perceptron with the specified layer sizes.</p> |
| <p>The layer sizes slice should include the input, hidden layers, and output layer sizes. |
| The type of activation function must be specified.</p> |
| <p>Currently defaults to simple batch Gradient Descent for optimization.</p> |
| <h5 id="examples-2"><a href="#examples-2">Examples</a></h5> |
| <div class="example-wrap"><pre class="rust rust-example-rendered"><code><span class="kw">use </span>rusty_machine::learning::nnet::BCECriterion; |
| <span class="kw">use </span>rusty_machine::learning::nnet::NeuralNet; |
| <span class="kw">use </span>rusty_machine::learning::toolkit::activ_fn::Sigmoid; |
| <span class="kw">use </span>rusty_machine::learning::optim::grad_desc::StochasticGD; |
| |
| <span class="comment">// Create a neural net with 4 layers, 3 neurons in each. |
| </span><span class="kw">let </span>layers = <span class="kw-2">&</span>[<span class="number">3</span>; <span class="number">4</span>]; |
| <span class="kw">let </span><span class="kw-2">mut </span>net = NeuralNet::mlp(layers, BCECriterion::default(), StochasticGD::default(), Sigmoid);</code></pre></div> |
| </div></details><details class="rustdoc-toggle method-toggle" open><summary><section id="method.add" class="method has-srclink"><a class="srclink rightside" href="../../../src/rusty_machine/learning/nnet/mod.rs.html#190-193">source</a><h4 class="code-header">pub fn <a href="#method.add" class="fnname">add</a><'a>(&'a mut self, layer: Box<dyn <a class="trait" href="net_layer/trait.NetLayer.html" title="trait rusty_machine::learning::nnet::net_layer::NetLayer">NetLayer</a>>) -> &'a mut <a class="struct" href="struct.NeuralNet.html" title="struct rusty_machine::learning::nnet::NeuralNet">NeuralNet</a><T, A></h4></section></summary><div class="docblock"><p>Adds the specified layer to the end of the network</p> |
| <h5 id="examples-3"><a href="#examples-3">Examples</a></h5> |
| <div class="example-wrap"><pre class="rust rust-example-rendered"><code><span class="kw">use </span>rusty_machine::linalg::BaseMatrix; |
| <span class="kw">use </span>rusty_machine::learning::nnet::BCECriterion; |
| <span class="kw">use </span>rusty_machine::learning::nnet::NeuralNet; |
| <span class="kw">use </span>rusty_machine::learning::nnet::net_layer::Linear; |
| <span class="kw">use </span>rusty_machine::learning::optim::grad_desc::StochasticGD; |
| |
| <span class="comment">// Create a new neural net |
| </span><span class="kw">let </span><span class="kw-2">mut </span>net = NeuralNet::new(BCECriterion::default(), StochasticGD::default()); |
| |
| <span class="comment">// Give net an input layer of size 3, hidden layer of size 4, and output layer of size 5 |
| // This net will not apply any activation function to the Linear layer outputs |
| </span>net.add(Box::new(Linear::new(<span class="number">3</span>, <span class="number">4</span>))) |
| .add(Box::new(Linear::new(<span class="number">4</span>, <span class="number">5</span>)));</code></pre></div> |
| </div></details><details class="rustdoc-toggle method-toggle" open><summary><section id="method.add_layers" class="method has-srclink"><a class="srclink rightside" href="../../../src/rusty_machine/learning/nnet/mod.rs.html#215-219">source</a><h4 class="code-header">pub fn <a href="#method.add_layers" class="fnname">add_layers</a><'a, U>(&'a mut self, layers: U) -> &'a mut <a class="struct" href="struct.NeuralNet.html" title="struct rusty_machine::learning::nnet::NeuralNet">NeuralNet</a><T, A><span class="where fmt-newline">where<br> U: IntoIterator<Item = Box<dyn <a class="trait" href="net_layer/trait.NetLayer.html" title="trait rusty_machine::learning::nnet::net_layer::NetLayer">NetLayer</a>>>,</span></h4></section></summary><div class="docblock"><p>Adds multiple layers to the end of the network</p> |
| <h5 id="examples-4"><a href="#examples-4">Examples</a></h5> |
| <div class="example-wrap"><pre class="rust rust-example-rendered"><code><span class="kw">use </span>rusty_machine::linalg::BaseMatrix; |
| <span class="kw">use </span>rusty_machine::learning::nnet::BCECriterion; |
| <span class="kw">use </span>rusty_machine::learning::nnet::NeuralNet; |
| <span class="kw">use </span>rusty_machine::learning::nnet::net_layer::{NetLayer, Linear}; |
| <span class="kw">use </span>rusty_machine::learning::toolkit::activ_fn::Sigmoid; |
| <span class="kw">use </span>rusty_machine::learning::optim::grad_desc::StochasticGD; |
| |
| <span class="comment">// Create a new neural net |
| </span><span class="kw">let </span><span class="kw-2">mut </span>net = NeuralNet::new(BCECriterion::default(), StochasticGD::default()); |
| |
| <span class="kw">let </span>linear_sig: Vec<Box<NetLayer>> = <span class="macro">vec!</span>[Box::new(Linear::new(<span class="number">5</span>, <span class="number">5</span>)), Box::new(Sigmoid)]; |
| |
| <span class="comment">// Give net a layer of size 5, followed by a Sigmoid activation function |
| </span>net.add_layers(linear_sig);</code></pre></div> |
| </div></details><details class="rustdoc-toggle method-toggle" open><summary><section id="method.get_net_weights" class="method has-srclink"><a class="srclink rightside" href="../../../src/rusty_machine/learning/nnet/mod.rs.html#239-241">source</a><h4 class="code-header">pub fn <a href="#method.get_net_weights" class="fnname">get_net_weights</a>(&self, idx: usize) -> <a class="struct" href="../../linalg/struct.MatrixSlice.html" title="struct rusty_machine::linalg::MatrixSlice">MatrixSlice</a><'_, f64></h4></section></summary><div class="docblock"><p>Gets matrix of weights between specified layer and forward layer.</p> |
| <h5 id="examples-5"><a href="#examples-5">Examples</a></h5> |
| <div class="example-wrap"><pre class="rust rust-example-rendered"><code><span class="kw">use </span>rusty_machine::linalg::BaseMatrix; |
| <span class="kw">use </span>rusty_machine::learning::nnet::NeuralNet; |
| |
| <span class="comment">// Create a neural net with 4 layers, 3 neurons in each. |
| </span><span class="kw">let </span>layers = <span class="kw-2">&</span>[<span class="number">3</span>; <span class="number">4</span>]; |
| <span class="kw">let </span><span class="kw-2">mut </span>net = NeuralNet::default(layers); |
| |
| <span class="kw">let </span>w = <span class="kw-2">&</span>net.get_net_weights(<span class="number">2</span>); |
| |
| <span class="comment">// We add a bias term to the weight matrix |
| </span><span class="macro">assert_eq!</span>(w.rows(), <span class="number">4</span>); |
| <span class="macro">assert_eq!</span>(w.cols(), <span class="number">3</span>);</code></pre></div> |
| </div></details></div></details></div><h2 id="trait-implementations" class="small-section-header">Trait Implementations<a href="#trait-implementations" class="anchor"></a></h2><div id="trait-implementations-list"><details class="rustdoc-toggle implementors-toggle" open><summary><section id="impl-Debug-for-NeuralNet%3CT%2C%20A%3E" class="impl has-srclink"><a class="srclink rightside" href="../../../src/rusty_machine/learning/nnet/mod.rs.html#67">source</a><a href="#impl-Debug-for-NeuralNet%3CT%2C%20A%3E" class="anchor"></a><h3 class="code-header">impl<T: Debug, A: Debug> Debug for <a class="struct" href="struct.NeuralNet.html" title="struct rusty_machine::learning::nnet::NeuralNet">NeuralNet</a><T, A><span class="where fmt-newline">where<br> T: <a class="trait" href="trait.Criterion.html" title="trait rusty_machine::learning::nnet::Criterion">Criterion</a>,<br> A: <a class="trait" href="../optim/trait.OptimAlgorithm.html" title="trait rusty_machine::learning::optim::OptimAlgorithm">OptimAlgorithm</a><<a class="struct" href="struct.BaseNeuralNet.html" title="struct rusty_machine::learning::nnet::BaseNeuralNet">BaseNeuralNet</a><T>>,</span></h3></section></summary><div class="impl-items"><details class="rustdoc-toggle method-toggle" open><summary><section id="method.fmt" class="method trait-impl has-srclink"><a class="srclink rightside" href="../../../src/rusty_machine/learning/nnet/mod.rs.html#67">source</a><a href="#method.fmt" class="anchor"></a><h4 class="code-header">fn <a class="fnname">fmt</a>(&self, f: &mut Formatter<'_>) -> Result</h4></section></summary><div class='docblock'>Formats the value using the given formatter. <a>Read more</a></div></details></div></details><details class="rustdoc-toggle implementors-toggle" open><summary><section id="impl-SupModel%3CMatrix%3Cf64%3E%2C%20Matrix%3Cf64%3E%3E-for-NeuralNet%3CT%2C%20A%3E" class="impl has-srclink"><a class="srclink rightside" href="../../../src/rusty_machine/learning/nnet/mod.rs.html#79-94">source</a><a href="#impl-SupModel%3CMatrix%3Cf64%3E%2C%20Matrix%3Cf64%3E%3E-for-NeuralNet%3CT%2C%20A%3E" class="anchor"></a><h3 class="code-header">impl<T, A> <a class="trait" href="../trait.SupModel.html" title="trait rusty_machine::learning::SupModel">SupModel</a><<a class="struct" href="../../linalg/struct.Matrix.html" title="struct rusty_machine::linalg::Matrix">Matrix</a><f64>, <a class="struct" href="../../linalg/struct.Matrix.html" title="struct rusty_machine::linalg::Matrix">Matrix</a><f64>> for <a class="struct" href="struct.NeuralNet.html" title="struct rusty_machine::learning::nnet::NeuralNet">NeuralNet</a><T, A><span class="where fmt-newline">where<br> T: <a class="trait" href="trait.Criterion.html" title="trait rusty_machine::learning::nnet::Criterion">Criterion</a>,<br> A: <a class="trait" href="../optim/trait.OptimAlgorithm.html" title="trait rusty_machine::learning::optim::OptimAlgorithm">OptimAlgorithm</a><<a class="struct" href="struct.BaseNeuralNet.html" title="struct rusty_machine::learning::nnet::BaseNeuralNet">BaseNeuralNet</a><T>>,</span></h3></section></summary><div class="docblock"><p>Supervised learning for the Neural Network.</p> |
| <p>The model is trained using back propagation.</p> |
| </div><div class="impl-items"><details class="rustdoc-toggle method-toggle" open><summary><section id="method.predict" class="method trait-impl has-srclink"><a class="srclink rightside" href="../../../src/rusty_machine/learning/nnet/mod.rs.html#84-86">source</a><a href="#method.predict" class="anchor"></a><h4 class="code-header">fn <a href="../trait.SupModel.html#tymethod.predict" class="fnname">predict</a>(&self, inputs: &<a class="struct" href="../../linalg/struct.Matrix.html" title="struct rusty_machine::linalg::Matrix">Matrix</a><f64>) -> <a class="type" href="../type.LearningResult.html" title="type rusty_machine::learning::LearningResult">LearningResult</a><<a class="struct" href="../../linalg/struct.Matrix.html" title="struct rusty_machine::linalg::Matrix">Matrix</a><f64>></h4></section></summary><div class="docblock"><p>Predict neural network output using forward propagation.</p> |
| </div></details><details class="rustdoc-toggle method-toggle" open><summary><section id="method.train" class="method trait-impl has-srclink"><a class="srclink rightside" href="../../../src/rusty_machine/learning/nnet/mod.rs.html#89-93">source</a><a href="#method.train" class="anchor"></a><h4 class="code-header">fn <a href="../trait.SupModel.html#tymethod.train" class="fnname">train</a>(<br> &mut self,<br> inputs: &<a class="struct" href="../../linalg/struct.Matrix.html" title="struct rusty_machine::linalg::Matrix">Matrix</a><f64>,<br> targets: &<a class="struct" href="../../linalg/struct.Matrix.html" title="struct rusty_machine::linalg::Matrix">Matrix</a><f64><br>) -> <a class="type" href="../type.LearningResult.html" title="type rusty_machine::learning::LearningResult">LearningResult</a><()></h4></section></summary><div class="docblock"><p>Train the model using gradient optimization and back propagation.</p> |
| </div></details></div></details></div><h2 id="synthetic-implementations" class="small-section-header">Auto Trait Implementations<a href="#synthetic-implementations" class="anchor"></a></h2><div id="synthetic-implementations-list"><section id="impl-RefUnwindSafe-for-NeuralNet%3CT%2C%20A%3E" class="impl has-srclink"><a href="#impl-RefUnwindSafe-for-NeuralNet%3CT%2C%20A%3E" class="anchor"></a><h3 class="code-header">impl<T, A> !RefUnwindSafe for <a class="struct" href="struct.NeuralNet.html" title="struct rusty_machine::learning::nnet::NeuralNet">NeuralNet</a><T, A></h3></section><section id="impl-Send-for-NeuralNet%3CT%2C%20A%3E" class="impl has-srclink"><a href="#impl-Send-for-NeuralNet%3CT%2C%20A%3E" class="anchor"></a><h3 class="code-header">impl<T, A> !Send for <a class="struct" href="struct.NeuralNet.html" title="struct rusty_machine::learning::nnet::NeuralNet">NeuralNet</a><T, A></h3></section><section id="impl-Sync-for-NeuralNet%3CT%2C%20A%3E" class="impl has-srclink"><a href="#impl-Sync-for-NeuralNet%3CT%2C%20A%3E" class="anchor"></a><h3 class="code-header">impl<T, A> !Sync for <a class="struct" href="struct.NeuralNet.html" title="struct rusty_machine::learning::nnet::NeuralNet">NeuralNet</a><T, A></h3></section><section id="impl-Unpin-for-NeuralNet%3CT%2C%20A%3E" class="impl has-srclink"><a href="#impl-Unpin-for-NeuralNet%3CT%2C%20A%3E" class="anchor"></a><h3 class="code-header">impl<T, A> Unpin for <a class="struct" href="struct.NeuralNet.html" title="struct rusty_machine::learning::nnet::NeuralNet">NeuralNet</a><T, A><span class="where fmt-newline">where<br> A: Unpin,<br> T: Unpin,</span></h3></section><section id="impl-UnwindSafe-for-NeuralNet%3CT%2C%20A%3E" class="impl has-srclink"><a href="#impl-UnwindSafe-for-NeuralNet%3CT%2C%20A%3E" class="anchor"></a><h3 class="code-header">impl<T, A> !UnwindSafe for <a class="struct" href="struct.NeuralNet.html" title="struct rusty_machine::learning::nnet::NeuralNet">NeuralNet</a><T, A></h3></section></div><h2 id="blanket-implementations" class="small-section-header">Blanket Implementations<a href="#blanket-implementations" class="anchor"></a></h2><div id="blanket-implementations-list"><details class="rustdoc-toggle implementors-toggle"><summary><section id="impl-Any-for-NeuralNet%3CT%2C%20A%3E" class="impl has-srclink"><a href="#impl-Any-for-NeuralNet%3CT%2C%20A%3E" class="anchor"></a><h3 class="code-header">impl<T> Any for T<span class="where fmt-newline">where<br> T: 'static + ?Sized,</span></h3></section></summary><div class="impl-items"><details class="rustdoc-toggle method-toggle" open><summary><section id="method.type_id" class="method trait-impl has-srclink"><a href="#method.type_id" class="anchor"></a><h4 class="code-header">fn <a class="fnname">type_id</a>(&self) -> TypeId</h4></section></summary><div class='docblock'>Gets the <code>TypeId</code> of <code>self</code>. <a>Read more</a></div></details></div></details><details class="rustdoc-toggle implementors-toggle"><summary><section id="impl-Borrow%3CT%3E-for-NeuralNet%3CT%2C%20A%3E" class="impl has-srclink"><a href="#impl-Borrow%3CT%3E-for-NeuralNet%3CT%2C%20A%3E" class="anchor"></a><h3 class="code-header">impl<T> Borrow<T> for T<span class="where fmt-newline">where<br> T: ?Sized,</span></h3></section></summary><div class="impl-items"><details class="rustdoc-toggle method-toggle" open><summary><section id="method.borrow" class="method trait-impl has-srclink"><span class="since rightside" title="const unstable">const: <a href="https://github.com/rust-lang/rust/issues/91522" title="Tracking issue for const_borrow">unstable</a></span><a href="#method.borrow" class="anchor"></a><h4 class="code-header">fn <a class="fnname">borrow</a>(&self) -> &T</h4></section></summary><div class='docblock'>Immutably borrows from an owned value. <a>Read more</a></div></details></div></details><details class="rustdoc-toggle implementors-toggle"><summary><section id="impl-BorrowMut%3CT%3E-for-NeuralNet%3CT%2C%20A%3E" class="impl has-srclink"><a href="#impl-BorrowMut%3CT%3E-for-NeuralNet%3CT%2C%20A%3E" class="anchor"></a><h3 class="code-header">impl<T> BorrowMut<T> for T<span class="where fmt-newline">where<br> T: ?Sized,</span></h3></section></summary><div class="impl-items"><details class="rustdoc-toggle method-toggle" open><summary><section id="method.borrow_mut" class="method trait-impl has-srclink"><span class="since rightside" title="const unstable">const: <a href="https://github.com/rust-lang/rust/issues/91522" title="Tracking issue for const_borrow">unstable</a></span><a href="#method.borrow_mut" class="anchor"></a><h4 class="code-header">fn <a class="fnname">borrow_mut</a>(&mut self) -> &mut T</h4></section></summary><div class='docblock'>Mutably borrows from an owned value. <a>Read more</a></div></details></div></details><details class="rustdoc-toggle implementors-toggle"><summary><section id="impl-From%3CT%3E-for-NeuralNet%3CT%2C%20A%3E" class="impl has-srclink"><a href="#impl-From%3CT%3E-for-NeuralNet%3CT%2C%20A%3E" class="anchor"></a><h3 class="code-header">impl<T> From<T> for T</h3></section></summary><div class="impl-items"><details class="rustdoc-toggle method-toggle" open><summary><section id="method.from" class="method trait-impl has-srclink"><span class="since rightside" title="const unstable">const: <a href="https://github.com/rust-lang/rust/issues/88674" title="Tracking issue for const_convert">unstable</a></span><a href="#method.from" class="anchor"></a><h4 class="code-header">fn <a class="fnname">from</a>(t: T) -> T</h4></section></summary><div class="docblock"><p>Returns the argument unchanged.</p> |
| </div></details></div></details><details class="rustdoc-toggle implementors-toggle"><summary><section id="impl-Into%3CU%3E-for-NeuralNet%3CT%2C%20A%3E" class="impl has-srclink"><a href="#impl-Into%3CU%3E-for-NeuralNet%3CT%2C%20A%3E" class="anchor"></a><h3 class="code-header">impl<T, U> Into<U> for T<span class="where fmt-newline">where<br> U: From<T>,</span></h3></section></summary><div class="impl-items"><details class="rustdoc-toggle method-toggle" open><summary><section id="method.into" class="method trait-impl has-srclink"><span class="since rightside" title="const unstable">const: <a href="https://github.com/rust-lang/rust/issues/88674" title="Tracking issue for const_convert">unstable</a></span><a href="#method.into" class="anchor"></a><h4 class="code-header">fn <a class="fnname">into</a>(self) -> U</h4></section></summary><div class="docblock"><p>Calls <code>U::from(self)</code>.</p> |
| <p>That is, this conversion is whatever the implementation of |
| <code>[From]<T> for U</code> chooses to do.</p> |
| </div></details></div></details><details class="rustdoc-toggle implementors-toggle"><summary><section id="impl-TryFrom%3CU%3E-for-NeuralNet%3CT%2C%20A%3E" class="impl has-srclink"><a href="#impl-TryFrom%3CU%3E-for-NeuralNet%3CT%2C%20A%3E" class="anchor"></a><h3 class="code-header">impl<T, U> TryFrom<U> for T<span class="where fmt-newline">where<br> U: Into<T>,</span></h3></section></summary><div class="impl-items"><details class="rustdoc-toggle" open><summary><section id="associatedtype.Error-1" class="associatedtype trait-impl has-srclink"><a href="#associatedtype.Error-1" class="anchor"></a><h4 class="code-header">type <a class="associatedtype">Error</a> = Infallible</h4></section></summary><div class='docblock'>The type returned in the event of a conversion error.</div></details><details class="rustdoc-toggle method-toggle" open><summary><section id="method.try_from" class="method trait-impl has-srclink"><span class="since rightside" title="const unstable">const: <a href="https://github.com/rust-lang/rust/issues/88674" title="Tracking issue for const_convert">unstable</a></span><a href="#method.try_from" class="anchor"></a><h4 class="code-header">fn <a class="fnname">try_from</a>(value: U) -> Result<T, <T as TryFrom<U>>::Error></h4></section></summary><div class='docblock'>Performs the conversion.</div></details></div></details><details class="rustdoc-toggle implementors-toggle"><summary><section id="impl-TryInto%3CU%3E-for-NeuralNet%3CT%2C%20A%3E" class="impl has-srclink"><a href="#impl-TryInto%3CU%3E-for-NeuralNet%3CT%2C%20A%3E" class="anchor"></a><h3 class="code-header">impl<T, U> TryInto<U> for T<span class="where fmt-newline">where<br> U: TryFrom<T>,</span></h3></section></summary><div class="impl-items"><details class="rustdoc-toggle" open><summary><section id="associatedtype.Error" class="associatedtype trait-impl has-srclink"><a href="#associatedtype.Error" class="anchor"></a><h4 class="code-header">type <a class="associatedtype">Error</a> = <U as TryFrom<T>>::Error</h4></section></summary><div class='docblock'>The type returned in the event of a conversion error.</div></details><details class="rustdoc-toggle method-toggle" open><summary><section id="method.try_into" class="method trait-impl has-srclink"><span class="since rightside" title="const unstable">const: <a href="https://github.com/rust-lang/rust/issues/88674" title="Tracking issue for const_convert">unstable</a></span><a href="#method.try_into" class="anchor"></a><h4 class="code-header">fn <a class="fnname">try_into</a>(self) -> Result<U, <U as TryFrom<T>>::Error></h4></section></summary><div class='docblock'>Performs the conversion.</div></details></div></details><details class="rustdoc-toggle implementors-toggle"><summary><section id="impl-VZip%3CV%3E-for-NeuralNet%3CT%2C%20A%3E" class="impl has-srclink"><a class="srclink rightside" href="../../../src/ppv_lite86/types.rs.html#221">source</a><a href="#impl-VZip%3CV%3E-for-NeuralNet%3CT%2C%20A%3E" class="anchor"></a><h3 class="code-header">impl<V, T> <a class="trait" href="../../../ppv_lite86/types/trait.VZip.html" title="trait ppv_lite86::types::VZip">VZip</a><V> for T<span class="where fmt-newline">where<br> V: <a class="trait" href="../../../ppv_lite86/types/trait.MultiLane.html" title="trait ppv_lite86::types::MultiLane">MultiLane</a><T>,</span></h3></section></summary><div class="impl-items"><section id="method.vzip" class="method trait-impl has-srclink"><a class="srclink rightside" href="../../../src/ppv_lite86/types.rs.html#226">source</a><a href="#method.vzip" class="anchor"></a><h4 class="code-header">fn <a href="../../../ppv_lite86/types/trait.VZip.html#tymethod.vzip" class="fnname">vzip</a>(self) -> V</h4></section></div></details></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> |
