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<section id="module-apache_beam.ml.anomaly.univariate.stdev">
<span id="apache-beam-ml-anomaly-univariate-stdev-module"></span><h1>apache_beam.ml.anomaly.univariate.stdev module<a class="headerlink" href="#module-apache_beam.ml.anomaly.univariate.stdev" title="Link to this heading"></a></h1>
<p>Trackers for calculating standard deviation in windowed fashion.</p>
<p>This module defines different types of standard deviation trackers that operate
on windows of data. It includes:</p>
<blockquote>
<div><ul class="simple">
<li><p><cite>SimpleSlidingStdevTracker</cite>: Calculates stdev using numpy in a sliding
window.</p></li>
<li><p><cite>IncLandmarkStdevTracker</cite>: Incremental stdev tracker in landmark window
mode.</p></li>
<li><p><cite>IncSlidingStdevTracker</cite>: Incremental stdev tracker in sliding window mode.</p></li>
</ul>
</div></blockquote>
<dl class="py class">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.StdevTracker">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.ml.anomaly.univariate.stdev.</span></span><span class="sig-name descname"><span class="pre">StdevTracker</span></span><a class="reference internal" href="_modules/apache_beam/ml/anomaly/univariate/stdev.html#StdevTracker"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.StdevTracker" title="Link to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="apache_beam.ml.anomaly.univariate.base.html#apache_beam.ml.anomaly.univariate.base.BaseTracker" title="apache_beam.ml.anomaly.univariate.base.BaseTracker"><code class="xref py py-class docutils literal notranslate"><span class="pre">BaseTracker</span></code></a></p>
<p>Abstract base class for standard deviation trackers.</p>
<p>Currently, it does not add any specific functionality but provides a type
hierarchy for stdev trackers.</p>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.SimpleSlidingStdevTracker">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.ml.anomaly.univariate.stdev.</span></span><span class="sig-name descname"><span class="pre">SimpleSlidingStdevTracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/anomaly/univariate/stdev.html#SimpleSlidingStdevTracker"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.SimpleSlidingStdevTracker" title="Link to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="apache_beam.ml.anomaly.univariate.base.html#apache_beam.ml.anomaly.univariate.base.WindowedTracker" title="apache_beam.ml.anomaly.univariate.base.WindowedTracker"><code class="xref py py-class docutils literal notranslate"><span class="pre">WindowedTracker</span></code></a>, <a class="reference internal" href="#apache_beam.ml.anomaly.univariate.stdev.StdevTracker" title="apache_beam.ml.anomaly.univariate.stdev.StdevTracker"><code class="xref py py-class docutils literal notranslate"><span class="pre">StdevTracker</span></code></a></p>
<p>Sliding window standard deviation tracker using NumPy.</p>
<p>This tracker uses NumPy’s <cite>nanvar</cite> function to calculate the variance of the
values currently in the sliding window and then takes the square root to get
the standard deviation. It’s a simple, non-incremental approach.</p>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.SimpleSlidingStdevTracker.get">
<span class="sig-name descname"><span class="pre">get</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/anomaly/univariate/stdev.html#SimpleSlidingStdevTracker.get"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.SimpleSlidingStdevTracker.get" title="Link to this definition"></a></dt>
<dd><p>Calculates and returns the stdev of the current sliding window.</p>
<dl class="field-list simple">
<dt class="field-odd">Returns<span class="colon">:</span></dt>
<dd class="field-odd"><p><dl class="simple">
<dt>The standard deviation of the values in the current sliding window.</dt><dd><p>Returns NaN if the window contains fewer than 2 elements.</p>
</dd>
</dl>
</p>
</dd>
<dt class="field-even">Return type<span class="colon">:</span></dt>
<dd class="field-even"><p><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)">float</a></p>
</dd>
</dl>
</dd></dl>
<dl class="py attribute">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.SimpleSlidingStdevTracker.SimpleSlidingStdevTracker__spec_type">
<span class="sig-name descname"><span class="pre">SimpleSlidingStdevTracker__spec_type</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'SimpleSlidingStdevTracker'</span></em><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.SimpleSlidingStdevTracker.SimpleSlidingStdevTracker__spec_type" title="Link to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.SimpleSlidingStdevTracker.from_spec">
<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_spec</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="apache_beam.ml.anomaly.specifiable.html#apache_beam.ml.anomaly.specifiable.Spec" title="apache_beam.ml.anomaly.specifiable.Spec"><span class="pre">Spec</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">_run_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Self</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#type" title="(in Python v3.13)"><span class="pre">type</span></a><span class="p"><span class="pre">[</span></span><span class="pre">Self</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.SimpleSlidingStdevTracker.from_spec" title="Link to this definition"></a></dt>
<dd><p>Generate a <cite>Specifiable</cite> subclass object based on a spec.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>spec</strong> – the specification of a <cite>Specifiable</cite> subclass object</p></li>
<li><p><strong>_run_init</strong> – whether to call <cite>__init__</cite> or not for the initial instantiation</p></li>
</ul>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><p>the <cite>Specifiable</cite> subclass object</p>
</dd>
<dt class="field-odd">Return type<span class="colon">:</span></dt>
<dd class="field-odd"><p>Self</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.SimpleSlidingStdevTracker.run_original_init">
<span class="sig-name descname"><span class="pre">run_original_init</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.SimpleSlidingStdevTracker.run_original_init" title="Link to this definition"></a></dt>
<dd><p>Execute the original <cite>__init__</cite> method with its saved arguments.</p>
<p>For instances of the <cite>Specifiable</cite> class, initialization is deferred
(lazy initialization). This function forces the execution of the
original <cite>__init__</cite> method using the arguments captured during
the object’s initial instantiation.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.SimpleSlidingStdevTracker.spec_type">
<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">spec_type</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.SimpleSlidingStdevTracker.spec_type" title="Link to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.SimpleSlidingStdevTracker.to_spec">
<span class="sig-name descname"><span class="pre">to_spec</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="apache_beam.ml.anomaly.specifiable.html#apache_beam.ml.anomaly.specifiable.Spec" title="apache_beam.ml.anomaly.specifiable.Spec"><span class="pre">Spec</span></a></span></span><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.SimpleSlidingStdevTracker.to_spec" title="Link to this definition"></a></dt>
<dd><p>Generate a spec from a <cite>Specifiable</cite> subclass object.</p>
<dl class="field-list simple">
<dt class="field-odd">Returns<span class="colon">:</span></dt>
<dd class="field-odd"><p>The specification of the instance.</p>
</dd>
<dt class="field-even">Return type<span class="colon">:</span></dt>
<dd class="field-even"><p><a class="reference internal" href="apache_beam.ml.anomaly.specifiable.html#apache_beam.ml.anomaly.specifiable.Spec" title="apache_beam.ml.anomaly.specifiable.Spec">Spec</a></p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.SimpleSlidingStdevTracker.unspecifiable">
<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">unspecifiable</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.SimpleSlidingStdevTracker.unspecifiable" title="Link to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.IncStdevTracker">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.ml.anomaly.univariate.stdev.</span></span><span class="sig-name descname"><span class="pre">IncStdevTracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">window_mode</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/anomaly/univariate/stdev.html#IncStdevTracker"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.IncStdevTracker" title="Link to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="apache_beam.ml.anomaly.univariate.base.html#apache_beam.ml.anomaly.univariate.base.WindowedTracker" title="apache_beam.ml.anomaly.univariate.base.WindowedTracker"><code class="xref py py-class docutils literal notranslate"><span class="pre">WindowedTracker</span></code></a>, <a class="reference internal" href="#apache_beam.ml.anomaly.univariate.stdev.StdevTracker" title="apache_beam.ml.anomaly.univariate.stdev.StdevTracker"><code class="xref py py-class docutils literal notranslate"><span class="pre">StdevTracker</span></code></a></p>
<p>Abstract base class for incremental standard deviation trackers.</p>
<p>This class implements an online algorithm for calculating standard deviation,
updating the standard deviation incrementally as new data points arrive.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>window_mode</strong> – A <cite>WindowMode</cite> enum specifying whether the window is <cite>LANDMARK</cite>
or <cite>SLIDING</cite>.</p></li>
<li><p><strong>**kwargs</strong> – Keyword arguments passed to the parent class constructor.</p></li>
</ul>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.IncStdevTracker.push">
<span class="sig-name descname"><span class="pre">push</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/anomaly/univariate/stdev.html#IncStdevTracker.push"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.IncStdevTracker.push" title="Link to this definition"></a></dt>
<dd><p>Pushes a new value and updates the incremental standard deviation
calculation.</p>
<p>Implements Welford’s online algorithm for variance, then derives stdev.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><p><strong>x</strong> – The new value to be pushed.</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.IncStdevTracker.get">
<span class="sig-name descname"><span class="pre">get</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/anomaly/univariate/stdev.html#IncStdevTracker.get"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.IncStdevTracker.get" title="Link to this definition"></a></dt>
<dd><p>Returns the current incremental standard deviation.</p>
<dl class="field-list simple">
<dt class="field-odd">Returns<span class="colon">:</span></dt>
<dd class="field-odd"><p><dl class="simple">
<dt>The current incremental standard deviation value.</dt><dd><p>Returns NaN if fewer than 2 valid (non-NaN) values have been pushed.</p>
</dd>
</dl>
</p>
</dd>
<dt class="field-even">Return type<span class="colon">:</span></dt>
<dd class="field-even"><p><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)">float</a></p>
</dd>
</dl>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.IncLandmarkStdevTracker">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.ml.anomaly.univariate.stdev.</span></span><span class="sig-name descname"><span class="pre">IncLandmarkStdevTracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/anomaly/univariate/stdev.html#IncLandmarkStdevTracker"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.IncLandmarkStdevTracker" title="Link to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#apache_beam.ml.anomaly.univariate.stdev.IncStdevTracker" title="apache_beam.ml.anomaly.univariate.stdev.IncStdevTracker"><code class="xref py py-class docutils literal notranslate"><span class="pre">IncStdevTracker</span></code></a></p>
<p>Landmark window standard deviation tracker using incremental calculation.</p>
<dl class="py attribute">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.IncLandmarkStdevTracker.IncLandmarkStdevTracker__spec_type">
<span class="sig-name descname"><span class="pre">IncLandmarkStdevTracker__spec_type</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'IncLandmarkStdevTracker'</span></em><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.IncLandmarkStdevTracker.IncLandmarkStdevTracker__spec_type" title="Link to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.IncLandmarkStdevTracker.from_spec">
<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_spec</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="apache_beam.ml.anomaly.specifiable.html#apache_beam.ml.anomaly.specifiable.Spec" title="apache_beam.ml.anomaly.specifiable.Spec"><span class="pre">Spec</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">_run_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Self</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#type" title="(in Python v3.13)"><span class="pre">type</span></a><span class="p"><span class="pre">[</span></span><span class="pre">Self</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.IncLandmarkStdevTracker.from_spec" title="Link to this definition"></a></dt>
<dd><p>Generate a <cite>Specifiable</cite> subclass object based on a spec.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>spec</strong> – the specification of a <cite>Specifiable</cite> subclass object</p></li>
<li><p><strong>_run_init</strong> – whether to call <cite>__init__</cite> or not for the initial instantiation</p></li>
</ul>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><p>the <cite>Specifiable</cite> subclass object</p>
</dd>
<dt class="field-odd">Return type<span class="colon">:</span></dt>
<dd class="field-odd"><p>Self</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.IncLandmarkStdevTracker.run_original_init">
<span class="sig-name descname"><span class="pre">run_original_init</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.IncLandmarkStdevTracker.run_original_init" title="Link to this definition"></a></dt>
<dd><p>Execute the original <cite>__init__</cite> method with its saved arguments.</p>
<p>For instances of the <cite>Specifiable</cite> class, initialization is deferred
(lazy initialization). This function forces the execution of the
original <cite>__init__</cite> method using the arguments captured during
the object’s initial instantiation.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.IncLandmarkStdevTracker.spec_type">
<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">spec_type</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.IncLandmarkStdevTracker.spec_type" title="Link to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.IncLandmarkStdevTracker.to_spec">
<span class="sig-name descname"><span class="pre">to_spec</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="apache_beam.ml.anomaly.specifiable.html#apache_beam.ml.anomaly.specifiable.Spec" title="apache_beam.ml.anomaly.specifiable.Spec"><span class="pre">Spec</span></a></span></span><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.IncLandmarkStdevTracker.to_spec" title="Link to this definition"></a></dt>
<dd><p>Generate a spec from a <cite>Specifiable</cite> subclass object.</p>
<dl class="field-list simple">
<dt class="field-odd">Returns<span class="colon">:</span></dt>
<dd class="field-odd"><p>The specification of the instance.</p>
</dd>
<dt class="field-even">Return type<span class="colon">:</span></dt>
<dd class="field-even"><p><a class="reference internal" href="apache_beam.ml.anomaly.specifiable.html#apache_beam.ml.anomaly.specifiable.Spec" title="apache_beam.ml.anomaly.specifiable.Spec">Spec</a></p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.IncLandmarkStdevTracker.unspecifiable">
<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">unspecifiable</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.IncLandmarkStdevTracker.unspecifiable" title="Link to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.IncSlidingStdevTracker">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.ml.anomaly.univariate.stdev.</span></span><span class="sig-name descname"><span class="pre">IncSlidingStdevTracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/anomaly/univariate/stdev.html#IncSlidingStdevTracker"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.IncSlidingStdevTracker" title="Link to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#apache_beam.ml.anomaly.univariate.stdev.IncStdevTracker" title="apache_beam.ml.anomaly.univariate.stdev.IncStdevTracker"><code class="xref py py-class docutils literal notranslate"><span class="pre">IncStdevTracker</span></code></a></p>
<p>Sliding window standard deviation tracker using incremental calculation.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><p><strong>window_size</strong> – The size of the sliding window.</p>
</dd>
</dl>
<dl class="py attribute">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.IncSlidingStdevTracker.IncSlidingStdevTracker__spec_type">
<span class="sig-name descname"><span class="pre">IncSlidingStdevTracker__spec_type</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'IncSlidingStdevTracker'</span></em><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.IncSlidingStdevTracker.IncSlidingStdevTracker__spec_type" title="Link to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.IncSlidingStdevTracker.from_spec">
<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_spec</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spec</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="apache_beam.ml.anomaly.specifiable.html#apache_beam.ml.anomaly.specifiable.Spec" title="apache_beam.ml.anomaly.specifiable.Spec"><span class="pre">Spec</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">_run_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.13)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Self</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/functions.html#type" title="(in Python v3.13)"><span class="pre">type</span></a><span class="p"><span class="pre">[</span></span><span class="pre">Self</span><span class="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.IncSlidingStdevTracker.from_spec" title="Link to this definition"></a></dt>
<dd><p>Generate a <cite>Specifiable</cite> subclass object based on a spec.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>spec</strong> – the specification of a <cite>Specifiable</cite> subclass object</p></li>
<li><p><strong>_run_init</strong> – whether to call <cite>__init__</cite> or not for the initial instantiation</p></li>
</ul>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><p>the <cite>Specifiable</cite> subclass object</p>
</dd>
<dt class="field-odd">Return type<span class="colon">:</span></dt>
<dd class="field-odd"><p>Self</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.IncSlidingStdevTracker.run_original_init">
<span class="sig-name descname"><span class="pre">run_original_init</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.IncSlidingStdevTracker.run_original_init" title="Link to this definition"></a></dt>
<dd><p>Execute the original <cite>__init__</cite> method with its saved arguments.</p>
<p>For instances of the <cite>Specifiable</cite> class, initialization is deferred
(lazy initialization). This function forces the execution of the
original <cite>__init__</cite> method using the arguments captured during
the object’s initial instantiation.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.IncSlidingStdevTracker.spec_type">
<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">spec_type</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.IncSlidingStdevTracker.spec_type" title="Link to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.IncSlidingStdevTracker.to_spec">
<span class="sig-name descname"><span class="pre">to_spec</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="apache_beam.ml.anomaly.specifiable.html#apache_beam.ml.anomaly.specifiable.Spec" title="apache_beam.ml.anomaly.specifiable.Spec"><span class="pre">Spec</span></a></span></span><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.IncSlidingStdevTracker.to_spec" title="Link to this definition"></a></dt>
<dd><p>Generate a spec from a <cite>Specifiable</cite> subclass object.</p>
<dl class="field-list simple">
<dt class="field-odd">Returns<span class="colon">:</span></dt>
<dd class="field-odd"><p>The specification of the instance.</p>
</dd>
<dt class="field-even">Return type<span class="colon">:</span></dt>
<dd class="field-even"><p><a class="reference internal" href="apache_beam.ml.anomaly.specifiable.html#apache_beam.ml.anomaly.specifiable.Spec" title="apache_beam.ml.anomaly.specifiable.Spec">Spec</a></p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.stdev.IncSlidingStdevTracker.unspecifiable">
<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">unspecifiable</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.stdev.IncSlidingStdevTracker.unspecifiable" title="Link to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
</section>
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