---

title: Scalers 


keywords: fastai
sidebar: home_sidebar

summary: "Utils for scaling data"
description: "Utils for scaling data"
nb_path: "nbs/data__scalers.ipynb"
---
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<h2 id="Scaler" class="doc_header"><code>class</code> <code>Scaler</code><a href="https://github.com/Nixtla/neuralforecast/tree/main/neuralforecast/data/scalers.py#L24" class="source_link" style="float:right">[source]</a></h2><blockquote><p><code>Scaler</code>(<strong><code>normalizer</code></strong>)</p>
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<h4 id="norm_scaler" class="doc_header"><code>norm_scaler</code><a href="https://github.com/Nixtla/neuralforecast/tree/main/neuralforecast/data/scalers.py#L70" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>norm_scaler</code>(<strong><code>x</code></strong>, <strong><code>mask</code></strong>)</p>
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<h4 id="inv_norm_scaler" class="doc_header"><code>inv_norm_scaler</code><a href="https://github.com/Nixtla/neuralforecast/tree/main/neuralforecast/data/scalers.py#L77" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>inv_norm_scaler</code>(<strong><code>x</code></strong>, <strong><code>x_min</code></strong>, <strong><code>x_max</code></strong>)</p>
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<h4 id="norm1_scaler" class="doc_header"><code>norm1_scaler</code><a href="https://github.com/Nixtla/neuralforecast/tree/main/neuralforecast/data/scalers.py#L81" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>norm1_scaler</code>(<strong><code>x</code></strong>, <strong><code>mask</code></strong>)</p>
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<h4 id="inv_norm1_scaler" class="doc_header"><code>inv_norm1_scaler</code><a href="https://github.com/Nixtla/neuralforecast/tree/main/neuralforecast/data/scalers.py#L89" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>inv_norm1_scaler</code>(<strong><code>x</code></strong>, <strong><code>x_min</code></strong>, <strong><code>x_max</code></strong>)</p>
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<h4 id="std_scaler" class="doc_header"><code>std_scaler</code><a href="https://github.com/Nixtla/neuralforecast/tree/main/neuralforecast/data/scalers.py#L94" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>std_scaler</code>(<strong><code>x</code></strong>, <strong><code>mask</code></strong>)</p>
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<h4 id="inv_std_scaler" class="doc_header"><code>inv_std_scaler</code><a href="https://github.com/Nixtla/neuralforecast/tree/main/neuralforecast/data/scalers.py#L101" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>inv_std_scaler</code>(<strong><code>x</code></strong>, <strong><code>x_mean</code></strong>, <strong><code>x_std</code></strong>)</p>
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<h4 id="median_scaler" class="doc_header"><code>median_scaler</code><a href="https://github.com/Nixtla/neuralforecast/tree/main/neuralforecast/data/scalers.py#L105" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>median_scaler</code>(<strong><code>x</code></strong>, <strong><code>mask</code></strong>)</p>
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<h4 id="inv_median_scaler" class="doc_header"><code>inv_median_scaler</code><a href="https://github.com/Nixtla/neuralforecast/tree/main/neuralforecast/data/scalers.py#L113" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>inv_median_scaler</code>(<strong><code>x</code></strong>, <strong><code>x_median</code></strong>, <strong><code>x_mad</code></strong>)</p>
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<h4 id="invariant_scaler" class="doc_header"><code>invariant_scaler</code><a href="https://github.com/Nixtla/neuralforecast/tree/main/neuralforecast/data/scalers.py#L117" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>invariant_scaler</code>(<strong><code>x</code></strong>, <strong><code>mask</code></strong>)</p>
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<h4 id="inv_invariant_scaler" class="doc_header"><code>inv_invariant_scaler</code><a href="https://github.com/Nixtla/neuralforecast/tree/main/neuralforecast/data/scalers.py#L125" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>inv_invariant_scaler</code>(<strong><code>x</code></strong>, <strong><code>x_median</code></strong>, <strong><code>x_mad</code></strong>)</p>
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