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<span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;"> verbosity</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">1</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">,</span></span>
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<span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">)</span></span></code></pre></div><p>Training function of NeuroTreeModels&#39; internal API.</p><p><strong>Arguments</strong></p><ul><li><p><code>config::NeuroTypes</code></p></li><li><p><code>dtrain</code>: Must be <code>&lt;:AbstractDataFrame</code></p></li></ul><p><strong>Keyword arguments</strong></p><ul><li><p><code>feature_names</code>: Required kwarg, a <code>Vector{Symbol}</code> or <code>Vector{String}</code> of the feature names.</p></li><li><p><code>target_name</code> Required kwarg, a <code>Symbol</code> or <code>String</code> indicating the name of the target variable.</p></li><li><p><code>weight_name=nothing</code></p></li><li><p><code>offset_name=nothing</code></p></li><li><p><code>deval=nothing</code> Data for tracking evaluation metric and perform early stopping.</p></li><li><p><code>metric=nothing</code>: evaluation metric tracked on <code>deval</code>. Can be one of:</p><ul><li><p><code>:mse</code></p></li><li><p><code>:mae</code></p></li><li><p><code>:logloss</code></p></li><li><p><code>:mlogloss</code></p></li><li><p><code>:gaussian_mle</code></p></li></ul></li><li><p><code>print_every_n=9999</code></p></li><li><p><code>early_stopping_rounds=9999</code></p></li><li><p><code>verbosity=1</code></p></li><li><p><code>device=:cpu</code>: device on which to perform the computation, either <code>:cpu</code> or <code>:gpu</code></p></li><li><p><code>gpuID=0</code>: gpu device to use, only relveant if <code>device = :gpu</code></p></li></ul><p><a href="https://github.com/Evovest/NeuroTreeModels.jl/blob/ec97baf55d2e46e3618749217a1b716240a6463e/src/fit.jl#L47-L90" target="_blank" rel="noreferrer">source</a></p></div><br><h2 id="Inference" tabindex="-1">Inference <a class="header-anchor" href="#Inference" aria-label="Permalink to &quot;Inference {#Inference}&quot;"></a></h2><div style="border-width:1px;border-style:solid;border-color:black;padding:1em;border-radius:25px;"><a id="NeuroTreeModels.infer" href="#NeuroTreeModels.infer">#</a> <b><u>NeuroTreeModels.infer</u></b><i>Function</i>. <p>infer(m::NeuroTreeModel, data)</p><p>Return the inference of a <code>NeuroTreeModel</code> over <code>data</code>, where <code>data</code> is <code>AbstractDataFrame</code>.</p><p><a href="https://github.com/Evovest/NeuroTreeModels.jl/blob/ec97baf55d2e46e3618749217a1b716240a6463e/src/infer.jl#L8-L12" target="_blank" rel="noreferrer">source</a></p></div><br></div></div></main><footer class="VPDocFooter" data-v-83890dd9 data-v-4f9813fa><!--[--><!--]--><div class="edit-info" data-v-4f9813fa><div class="edit-link" data-v-4f9813fa><a class="VPLink link no-icon edit-link-button" href="/NeuroTreeModels.jl/previews/PR13/github.com/Evovest/NeuroTreeModels.jl/edit/main/docs/src/API" data-v-4f9813fa><!--[--><span class="vpi-square-pen edit-link-icon" data-v-4f9813fa></span> Edit this page<!--]--></a></div><!----></div><nav class="prev-next" aria-labelledby="doc-footer-aria-label" data-v-4f9813fa><span class="visually-hidden" id="doc-footer-aria-label" data-v-4f9813fa>Pager</span><div class="pager" data-v-4f9813fa><a class="VPLink link pager-link prev" href="/NeuroTreeModels.jl/previews/PR13/models" data-v-4f9813fa><!--[--><span class="desc" data-v-4f9813fa>Previous page</span><span class="title" data-v-4f9813fa>Models</span><!--]--></a></div><div class="pager" data-v-4f9813fa><a class="VPLink link pager-link next" href="/NeuroTreeModels.jl/previews/PR13/tutorials-regression-boston" data-v-4f9813fa><!--[--><span class="desc" data-v-4f9813fa>Next page</span><span class="title" data-v-4f9813fa>Regression</span><!--]--></a></div></nav></footer><!--[--><!--]--></div></div></div><!--[--><!--]--></div></div><!----><!--[--><!--]--></div></div>
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<span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">)</span></span></code></pre></div><p>Training function of NeuroTreeModels&#39; internal API.</p><p><strong>Arguments</strong></p><ul><li><p><code>config::NeuroTypes</code></p></li><li><p><code>dtrain</code>: Must be <code>&lt;:AbstractDataFrame</code></p></li></ul><p><strong>Keyword arguments</strong></p><ul><li><p><code>feature_names</code>: Required kwarg, a <code>Vector{Symbol}</code> or <code>Vector{String}</code> of the feature names.</p></li><li><p><code>target_name</code> Required kwarg, a <code>Symbol</code> or <code>String</code> indicating the name of the target variable.</p></li><li><p><code>weight_name=nothing</code></p></li><li><p><code>offset_name=nothing</code></p></li><li><p><code>deval=nothing</code> Data for tracking evaluation metric and perform early stopping.</p></li><li><p><code>metric=nothing</code>: evaluation metric tracked on <code>deval</code>. Can be one of:</p><ul><li><p><code>:mse</code></p></li><li><p><code>:mae</code></p></li><li><p><code>:logloss</code></p></li><li><p><code>:mlogloss</code></p></li><li><p><code>:gaussian_mle</code></p></li></ul></li><li><p><code>print_every_n=9999</code></p></li><li><p><code>early_stopping_rounds=9999</code></p></li><li><p><code>verbosity=1</code></p></li><li><p><code>device=:cpu</code>: device on which to perform the computation, either <code>:cpu</code> or <code>:gpu</code></p></li><li><p><code>gpuID=0</code>: gpu device to use, only relveant if <code>device = :gpu</code></p></li></ul><p><a href="https://github.com/Evovest/NeuroTreeModels.jl/blob/a29950b4f94df0b0a6ae92227df3c77b51959a13/src/fit.jl#L47-L90" target="_blank" rel="noreferrer">source</a></p></div><br><h2 id="Inference" tabindex="-1">Inference <a class="header-anchor" href="#Inference" aria-label="Permalink to &quot;Inference {#Inference}&quot;"></a></h2><div style="border-width:1px;border-style:solid;border-color:black;padding:1em;border-radius:25px;"><a id="NeuroTreeModels.infer" href="#NeuroTreeModels.infer">#</a> <b><u>NeuroTreeModels.infer</u></b><i>Function</i>. <p>infer(m::NeuroTreeModel, data)</p><p>Return the inference of a <code>NeuroTreeModel</code> over <code>data</code>, where <code>data</code> is <code>AbstractDataFrame</code>.</p><p><a href="https://github.com/Evovest/NeuroTreeModels.jl/blob/a29950b4f94df0b0a6ae92227df3c77b51959a13/src/infer.jl#L8-L12" target="_blank" rel="noreferrer">source</a></p></div><br></div></div></main><footer class="VPDocFooter" data-v-83890dd9 data-v-4f9813fa><!--[--><!--]--><div class="edit-info" data-v-4f9813fa><div class="edit-link" data-v-4f9813fa><a class="VPLink link no-icon edit-link-button" href="/NeuroTreeModels.jl/previews/PR13/github.com/Evovest/NeuroTreeModels.jl/edit/main/docs/src/API" data-v-4f9813fa><!--[--><span class="vpi-square-pen edit-link-icon" data-v-4f9813fa></span> Edit this page<!--]--></a></div><!----></div><nav class="prev-next" aria-labelledby="doc-footer-aria-label" data-v-4f9813fa><span class="visually-hidden" id="doc-footer-aria-label" data-v-4f9813fa>Pager</span><div class="pager" data-v-4f9813fa><a class="VPLink link pager-link prev" href="/NeuroTreeModels.jl/previews/PR13/models" data-v-4f9813fa><!--[--><span class="desc" data-v-4f9813fa>Previous page</span><span class="title" data-v-4f9813fa>Models</span><!--]--></a></div><div class="pager" data-v-4f9813fa><a class="VPLink link pager-link next" href="/NeuroTreeModels.jl/previews/PR13/tutorials-regression-boston" data-v-4f9813fa><!--[--><span class="desc" data-v-4f9813fa>Next page</span><span class="title" data-v-4f9813fa>Regression</span><!--]--></a></div></nav></footer><!--[--><!--]--></div></div></div><!--[--><!--]--></div></div><!----><!--[--><!--]--></div></div>
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