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<section id="module-apache_beam.ml.anomaly.univariate.quantile">
<span id="apache-beam-ml-anomaly-univariate-quantile-module"></span><h1>apache_beam.ml.anomaly.univariate.quantile module<a class="headerlink" href="#module-apache_beam.ml.anomaly.univariate.quantile" title="Link to this heading"></a></h1>
<p>Trackers for calculating quantiles in windowed fashion.</p>
<p>This module defines different types of quantile trackers that operate on
windows of data. It includes:</p>
<blockquote>
<div><ul class="simple">
<li><p><cite>SimpleSlidingQuantileTracker</cite>: Calculates quantile using numpy in a sliding
window.</p></li>
<li><p><cite>BufferedLandmarkQuantileTracker</cite>: Sortedlist based quantile tracker in
landmark window mode.</p></li>
<li><p><cite>BufferedSlidingQuantileTracker</cite>: Sortedlist based quantile 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.quantile.QuantileTracker">
<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.quantile.</span></span><span class="sig-name descname"><span class="pre">QuantileTracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">q</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/anomaly/univariate/quantile.html#QuantileTracker"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.quantile.QuantileTracker" 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 quantile trackers.</p>
<p>Currently, it does not add any specific functionality but provides a type
hierarchy for quantile trackers.</p>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.quantile.SimpleSlidingQuantileTracker">
<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.quantile.</span></span><span class="sig-name descname"><span class="pre">SimpleSlidingQuantileTracker</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/quantile.html#SimpleSlidingQuantileTracker"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.quantile.SimpleSlidingQuantileTracker" 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.quantile.QuantileTracker" title="apache_beam.ml.anomaly.univariate.quantile.QuantileTracker"><code class="xref py py-class docutils literal notranslate"><span class="pre">QuantileTracker</span></code></a></p>
<p>Sliding window quantile tracker using NumPy.</p>
<p>This tracker uses NumPy’s <cite>nanquantile</cite> function to calculate the specified
quantile of the values currently in the sliding window. It’s a simple,
non-incremental approach.</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_size</strong> – The size of the sliding window.</p></li>
<li><p><strong>q</strong> – The quantile to calculate, a float between 0 and 1 (inclusive).</p></li>
</ul>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.quantile.SimpleSlidingQuantileTracker.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/quantile.html#SimpleSlidingQuantileTracker.get"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.quantile.SimpleSlidingQuantileTracker.get" title="Link to this definition"></a></dt>
<dd><p>Calculates and returns the specified quantile 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 specified quantile of the values in the current sliding window.</dt><dd><p>Returns NaN if the window is empty.</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.quantile.SimpleSlidingQuantileTracker.SimpleSlidingQuantileTracker__spec_type">
<span class="sig-name descname"><span class="pre">SimpleSlidingQuantileTracker__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">'SimpleSlidingQuantileTracker'</span></em><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.quantile.SimpleSlidingQuantileTracker.SimpleSlidingQuantileTracker__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.quantile.SimpleSlidingQuantileTracker.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.quantile.SimpleSlidingQuantileTracker.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.quantile.SimpleSlidingQuantileTracker.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.quantile.SimpleSlidingQuantileTracker.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.quantile.SimpleSlidingQuantileTracker.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.quantile.SimpleSlidingQuantileTracker.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.quantile.SimpleSlidingQuantileTracker.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.quantile.SimpleSlidingQuantileTracker.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.quantile.SimpleSlidingQuantileTracker.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.quantile.SimpleSlidingQuantileTracker.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.quantile.BufferedQuantileTracker">
<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.quantile.</span></span><span class="sig-name descname"><span class="pre">BufferedQuantileTracker</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="n"><span class="pre">q</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/quantile.html#BufferedQuantileTracker"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.quantile.BufferedQuantileTracker" 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.quantile.QuantileTracker" title="apache_beam.ml.anomaly.univariate.quantile.QuantileTracker"><code class="xref py py-class docutils literal notranslate"><span class="pre">QuantileTracker</span></code></a></p>
<p>Abstract base class for buffered quantile trackers.</p>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>Buffered quantile trackers are NOT truly incremental in the sense that they
don’t update the quantile in constant time per new data point. They maintain
a sorted list of all values in the window.</p>
</div>
<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>q</strong> – The quantile to calculate, a float between 0 and 1 (inclusive).</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.quantile.BufferedQuantileTracker.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/quantile.html#BufferedQuantileTracker.push"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.quantile.BufferedQuantileTracker.push" title="Link to this definition"></a></dt>
<dd><p>Pushes a new value, maintains the sorted list, and manages the window.</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.quantile.BufferedQuantileTracker.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/quantile.html#BufferedQuantileTracker.get"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.quantile.BufferedQuantileTracker.get" title="Link to this definition"></a></dt>
<dd><p>Returns the current quantile value using the sorted list.</p>
<p>Calculates the quantile using linear interpolation on the sorted values.</p>
<dl class="field-list simple">
<dt class="field-odd">Returns<span class="colon">:</span></dt>
<dd class="field-odd"><p>The calculated quantile value. Returns NaN if the window is empty.</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.quantile.SecondaryBufferedQuantileTracker">
<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.quantile.</span></span><span class="sig-name descname"><span class="pre">SecondaryBufferedQuantileTracker</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/quantile.html#SecondaryBufferedQuantileTracker"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.quantile.SecondaryBufferedQuantileTracker" 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.quantile.QuantileTracker" title="apache_beam.ml.anomaly.univariate.quantile.QuantileTracker"><code class="xref py py-class docutils literal notranslate"><span class="pre">QuantileTracker</span></code></a></p>
<p>A secondary quantile tracker that shares its data with a master tracker.</p>
<p>This tracker acts as a read-only view of the master tracker’s data, providing
quantile calculations without maintaining its own independent buffer. It
relies on the master’s sorted items for quantile estimations.</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>master</strong> – The BufferedQuantileTracker instance to share data with.</p></li>
<li><p><strong>q</strong> – A list of quantiles to track.</p></li>
</ul>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.quantile.SecondaryBufferedQuantileTracker.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/quantile.html#SecondaryBufferedQuantileTracker.push"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.quantile.SecondaryBufferedQuantileTracker.push" title="Link to this definition"></a></dt>
<dd><p>Does nothing, as this is a secondary tracker.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.quantile.SecondaryBufferedQuantileTracker.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/quantile.html#SecondaryBufferedQuantileTracker.get"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.quantile.SecondaryBufferedQuantileTracker.get" title="Link to this definition"></a></dt>
<dd><p>Returns the calculated quantiles based on the master tracker’s buffer.</p>
<dl class="field-list simple">
<dt class="field-odd">Returns<span class="colon">:</span></dt>
<dd class="field-odd"><p>A list of calculated quantiles.</p>
</dd>
</dl>
</dd></dl>
<dl class="py attribute">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.quantile.SecondaryBufferedQuantileTracker.SecondaryBufferedQuantileTracker__spec_type">
<span class="sig-name descname"><span class="pre">SecondaryBufferedQuantileTracker__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">'SecondaryBufferedQuantileTracker'</span></em><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.quantile.SecondaryBufferedQuantileTracker.SecondaryBufferedQuantileTracker__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.quantile.SecondaryBufferedQuantileTracker.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.quantile.SecondaryBufferedQuantileTracker.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.quantile.SecondaryBufferedQuantileTracker.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.quantile.SecondaryBufferedQuantileTracker.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.quantile.SecondaryBufferedQuantileTracker.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.quantile.SecondaryBufferedQuantileTracker.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.quantile.SecondaryBufferedQuantileTracker.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.quantile.SecondaryBufferedQuantileTracker.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.quantile.SecondaryBufferedQuantileTracker.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.quantile.SecondaryBufferedQuantileTracker.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.quantile.BufferedLandmarkQuantileTracker">
<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.quantile.</span></span><span class="sig-name descname"><span class="pre">BufferedLandmarkQuantileTracker</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/quantile.html#BufferedLandmarkQuantileTracker"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.quantile.BufferedLandmarkQuantileTracker" title="Link to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#apache_beam.ml.anomaly.univariate.quantile.BufferedQuantileTracker" title="apache_beam.ml.anomaly.univariate.quantile.BufferedQuantileTracker"><code class="xref py py-class docutils literal notranslate"><span class="pre">BufferedQuantileTracker</span></code></a></p>
<p>Landmark quantile tracker using a sorted list for quantile calculation.</p>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>Landmark quantile trackers have unbounded memory consumption as they store
all pushed values in a sorted list. Avoid using in production for
long-running streams.</p>
</div>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><p><strong>q</strong> – The quantile to calculate, a float between 0 and 1 (inclusive).</p>
</dd>
</dl>
<dl class="py attribute">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.quantile.BufferedLandmarkQuantileTracker.BufferedLandmarkQuantileTracker__spec_type">
<span class="sig-name descname"><span class="pre">BufferedLandmarkQuantileTracker__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">'BufferedLandmarkQuantileTracker'</span></em><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.quantile.BufferedLandmarkQuantileTracker.BufferedLandmarkQuantileTracker__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.quantile.BufferedLandmarkQuantileTracker.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.quantile.BufferedLandmarkQuantileTracker.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.quantile.BufferedLandmarkQuantileTracker.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.quantile.BufferedLandmarkQuantileTracker.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.quantile.BufferedLandmarkQuantileTracker.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.quantile.BufferedLandmarkQuantileTracker.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.quantile.BufferedLandmarkQuantileTracker.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.quantile.BufferedLandmarkQuantileTracker.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.quantile.BufferedLandmarkQuantileTracker.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.quantile.BufferedLandmarkQuantileTracker.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.quantile.BufferedSlidingQuantileTracker">
<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.quantile.</span></span><span class="sig-name descname"><span class="pre">BufferedSlidingQuantileTracker</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/quantile.html#BufferedSlidingQuantileTracker"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.quantile.BufferedSlidingQuantileTracker" title="Link to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#apache_beam.ml.anomaly.univariate.quantile.BufferedQuantileTracker" title="apache_beam.ml.anomaly.univariate.quantile.BufferedQuantileTracker"><code class="xref py py-class docutils literal notranslate"><span class="pre">BufferedQuantileTracker</span></code></a></p>
<p>Sliding window quantile tracker using a sorted list for quantile
calculation.</p>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>Maintains a sorted list of values within the sliding window to calculate
the specified quantile. Memory consumption is bounded by the window size
but can still be significant for large windows.</p>
</div>
<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_size</strong> – The size of the sliding window.</p></li>
<li><p><strong>q</strong> – The quantile to calculate, a float between 0 and 1 (inclusive).</p></li>
</ul>
</dd>
</dl>
<dl class="py attribute">
<dt class="sig sig-object py" id="apache_beam.ml.anomaly.univariate.quantile.BufferedSlidingQuantileTracker.BufferedSlidingQuantileTracker__spec_type">
<span class="sig-name descname"><span class="pre">BufferedSlidingQuantileTracker__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">'BufferedSlidingQuantileTracker'</span></em><a class="headerlink" href="#apache_beam.ml.anomaly.univariate.quantile.BufferedSlidingQuantileTracker.BufferedSlidingQuantileTracker__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.quantile.BufferedSlidingQuantileTracker.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.quantile.BufferedSlidingQuantileTracker.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.quantile.BufferedSlidingQuantileTracker.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.quantile.BufferedSlidingQuantileTracker.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.quantile.BufferedSlidingQuantileTracker.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.quantile.BufferedSlidingQuantileTracker.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.quantile.BufferedSlidingQuantileTracker.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.quantile.BufferedSlidingQuantileTracker.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.quantile.BufferedSlidingQuantileTracker.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.quantile.BufferedSlidingQuantileTracker.unspecifiable" title="Link to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
</section>
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