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<html lang="en"><head><meta charset="UTF-8"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><title>Datasets · Flux</title><script>(function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
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julia&gt; summary(features)
&quot;4×150 Array{Float64,2}&quot;
julia&gt; features[:, 1]
4-element Array{Float64,1}:
5.1
3.5
1.4
build based on 0b10f1a
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0.2</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/0b10f1a8dff3d02cccd81206f4f187c5731db2df/src/data/iris.jl#L51-L71">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.Data.Iris.labels-Tuple{}" href="#Flux.Data.Iris.labels-Tuple{}"><code>Flux.Data.Iris.labels</code></a> — <span class="docstring-category">Method</span></header><section><div><pre><code class="language-julia">labels()</code></pre><p>Get the labels of the iris dataset, a 150 element array of strings listing the species of each example.</p><pre><code class="language-julia-repl">julia&gt; labels = Flux.Data.Iris.labels();
build based on 7a32a70
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julia&gt; summary(labels)
&quot;150-element Array{String,1}&quot;
julia&gt; labels[1]
build based on 0b10f1a
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&quot;Iris-setosa&quot;</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/0b10f1a8dff3d02cccd81206f4f187c5731db2df/src/data/iris.jl#L29-L44">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.Data.MNIST.images-Tuple{}" href="#Flux.Data.MNIST.images-Tuple{}"><code>Flux.Data.MNIST.images</code></a> — <span class="docstring-category">Method</span></header><section><div><pre><code class="language-julia">images()
images(:test)</code></pre><p>Load the MNIST images.</p><p>Each image is a 28×28 array of <code>Gray</code> colour values (see <a href="https://github.com/JuliaGraphics/Colors.jl">Colors.jl</a>).</p><p>Return the 60,000 training images by default; pass <code>:test</code> to retrieve the 10,000 test images.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/0b10f1a8dff3d02cccd81206f4f187c5731db2df/src/data/mnist.jl#L80-L91">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.Data.MNIST.labels-Tuple{}" href="#Flux.Data.MNIST.labels-Tuple{}"><code>Flux.Data.MNIST.labels</code></a> — <span class="docstring-category">Method</span></header><section><div><pre><code class="language-julia">labels()
labels(:test)</code></pre><p>Load the labels corresponding to each of the images returned from <a href="#Flux.Data.MNIST.images-Tuple{}"><code>images()</code></a>. Each label is a number from 0-9.</p><p>Return the 60,000 training labels by default; pass <code>:test</code> to retrieve the 10,000 test labels.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/0b10f1a8dff3d02cccd81206f4f187c5731db2df/src/data/mnist.jl#L99-L108">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.Data.FashionMNIST.images-Tuple{}" href="#Flux.Data.FashionMNIST.images-Tuple{}"><code>Flux.Data.FashionMNIST.images</code></a> — <span class="docstring-category">Method</span></header><section><div><pre><code class="language-julia">images()
images(:test)</code></pre><p>Load the Fashion-MNIST images.</p><p>Each image is a 28×28 array of <code>Gray</code> colour values (see <a href="https://github.com/JuliaGraphics/Colors.jl">Colors.jl</a>).</p><p>Return the 60,000 training images by default; pass <code>:test</code> to retrieve the 10,000 test images.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/0b10f1a8dff3d02cccd81206f4f187c5731db2df/src/data/fashion-mnist.jl#L30-L41">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.Data.FashionMNIST.labels-Tuple{}" href="#Flux.Data.FashionMNIST.labels-Tuple{}"><code>Flux.Data.FashionMNIST.labels</code></a> — <span class="docstring-category">Method</span></header><section><div><pre><code class="language-julia">labels()
labels(:test)</code></pre><p>Load the labels corresponding to each of the images returned from <a href="#Flux.Data.FashionMNIST.images-Tuple{}"><code>images()</code></a>. Each label is a number from 0-9.</p><p>Return the 60,000 training labels by default; pass <code>:test</code> to retrieve the 10,000 test labels.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/0b10f1a8dff3d02cccd81206f4f187c5731db2df/src/data/fashion-mnist.jl#L49-L58">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.Data.CMUDict.phones-Tuple{}" href="#Flux.Data.CMUDict.phones-Tuple{}"><code>Flux.Data.CMUDict.phones</code></a> — <span class="docstring-category">Method</span></header><section><div><pre><code class="language-julia">phones()</code></pre><p>Return a <code>Vector</code> containing the phones used in the CMU Pronouncing Dictionary.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/0b10f1a8dff3d02cccd81206f4f187c5731db2df/src/data/cmudict.jl#L27-L31">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.Data.CMUDict.symbols-Tuple{}" href="#Flux.Data.CMUDict.symbols-Tuple{}"><code>Flux.Data.CMUDict.symbols</code></a> — <span class="docstring-category">Method</span></header><section><div><pre><code class="language-julia">symbols()</code></pre><p>Return a <code>Vector</code> containing the symbols used in the CMU Pronouncing Dictionary. A symbol is a phone with optional auxiliary symbols, indicating for example the amount of stress on the phone.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/0b10f1a8dff3d02cccd81206f4f187c5731db2df/src/data/cmudict.jl#L38-L44">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.Data.CMUDict.rawdict-Tuple{}" href="#Flux.Data.CMUDict.rawdict-Tuple{}"><code>Flux.Data.CMUDict.rawdict</code></a> — <span class="docstring-category">Method</span></header><section><div><pre><code class="language-julia">rawdict()</code></pre><p>Return the unfiltered CMU Pronouncing Dictionary.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/0b10f1a8dff3d02cccd81206f4f187c5731db2df/src/data/cmudict.jl#L51-L55">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.Data.CMUDict.cmudict-Tuple{}" href="#Flux.Data.CMUDict.cmudict-Tuple{}"><code>Flux.Data.CMUDict.cmudict</code></a> — <span class="docstring-category">Method</span></header><section><div><pre><code class="language-julia">cmudict()</code></pre><p>Return a filtered CMU Pronouncing Dictionary.</p><p>It is filtered so each word contains only ASCII characters and a combination of word characters (as determined by the regex engine using <code>\w</code>), &#39;-&#39; and &#39;.&#39;.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/0b10f1a8dff3d02cccd81206f4f187c5731db2df/src/data/cmudict.jl#L64-L71">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.Data.Sentiment.train-Tuple{}" href="#Flux.Data.Sentiment.train-Tuple{}"><code>Flux.Data.Sentiment.train</code></a> — <span class="docstring-category">Method</span></header><section><div><pre><code class="language-julia">train()</code></pre><p>Return the train split of the Stanford Sentiment Treebank. The data is in <a href="https://en.wikipedia.org/wiki/Treebank">treebank</a> format.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/FluxML/Flux.jl/blob/0b10f1a8dff3d02cccd81206f4f187c5731db2df/src/data/sentiment.jl#L43-L48">source</a></section></article><article class="docstring"><header><a class="docstring-binding" id="Flux.Data.Sentiment.test-Tuple{}" href="#Flux.Data.Sentiment.test-Tuple{}"><code>Flux.Data.Sentiment.test</code></a> — <span class="docstring-category">Method</span></header><section><div><pre><code cl
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