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| <section id="module-apache_beam.ml.anomaly.detectors.zscore"> |
| <span id="apache-beam-ml-anomaly-detectors-zscore-module"></span><h1>apache_beam.ml.anomaly.detectors.zscore module<a class="headerlink" href="#module-apache_beam.ml.anomaly.detectors.zscore" title="Link to this heading"></a></h1> |
| <dl class="py class"> |
| <dt class="sig sig-object py" id="apache_beam.ml.anomaly.detectors.zscore.ZScore"> |
| <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.detectors.zscore.</span></span><span class="sig-name descname"><span class="pre">ZScore</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/detectors/zscore.html#ZScore"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.detectors.zscore.ZScore" title="Link to this definition"></a></dt> |
| <dd><p>Bases: <a class="reference internal" href="apache_beam.ml.anomaly.base.html#apache_beam.ml.anomaly.base.AnomalyDetector" title="apache_beam.ml.anomaly.base.AnomalyDetector"><code class="xref py py-class docutils literal notranslate"><span class="pre">AnomalyDetector</span></code></a></p> |
| <p>Z-Score anomaly detector.</p> |
| <p>This class implements an anomaly detection algorithm based on Z-Score (also |
| known as Standard Score <a class="footnote-reference brackets" href="#id4" id="id1" role="doc-noteref"><span class="fn-bracket">[</span>1<span class="fn-bracket">]</span></a> ), which measures how many standard deviations a |
| data point is from the mean.</p> |
| <p>The score is calculated as: <cite>| (value - mean) / stdev |</cite></p> |
| <div class="admonition important"> |
| <p class="admonition-title">Important</p> |
| <p>In the streaming setting, we use the online version of mean and standard |
| deviation in the calculation.</p> |
| </div> |
| <p>This implementation is adapted from the implementations within PySAD <a class="footnote-reference brackets" href="#id5" id="id2" role="doc-noteref"><span class="fn-bracket">[</span>2<span class="fn-bracket">]</span></a> and |
| River <a class="footnote-reference brackets" href="#id6" id="id3" role="doc-noteref"><span class="fn-bracket">[</span>3<span class="fn-bracket">]</span></a>:</p> |
| <blockquote> |
| <div><ul class="simple"> |
| <li><p><a class="reference external" href="https://github.com/selimfirat/pysad/blob/master/pysad/models/standard_absolute_deviation.py">https://github.com/selimfirat/pysad/blob/master/pysad/models/standard_absolute_deviation.py</a></p></li> |
| <li><p><a class="reference external" href="https://github.com/online-ml/river/blob/main/river/anomaly/sad.py">https://github.com/online-ml/river/blob/main/river/anomaly/sad.py</a></p></li> |
| </ul> |
| </div></blockquote> |
| <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>sub_stat_tracker</strong> – Optional <cite>MeanTracker</cite> instance. If None, an |
| <cite>IncSlidingMeanTracker</cite> with a default window size 1000 is created.</p></li> |
| <li><p><strong>stdev_tracker</strong> – Optional <cite>StdevTracker</cite> instance. If None, an |
| <cite>IncSlidingStdevTracker</cite> with a default window size 1000 is created.</p></li> |
| <li><p><strong>threshold_criterion</strong> – threshold_criterion: Optional <cite>ThresholdFn</cite> to apply on |
| the score. Defaults to <cite>FixedThreshold(3)</cite> due to the commonly used |
| 3-sigma rule.</p></li> |
| <li><p><strong>**kwargs</strong> – Additional keyword arguments.</p></li> |
| </ul> |
| </dd> |
| </dl> |
| <aside class="footnote-list brackets"> |
| <aside class="footnote brackets" id="id4" role="doc-footnote"> |
| <span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id1">1</a><span class="fn-bracket">]</span></span> |
| <p><a class="reference external" href="https://en.wikipedia.org/wiki/Standard_score">https://en.wikipedia.org/wiki/Standard_score</a></p> |
| </aside> |
| <aside class="footnote brackets" id="id5" role="doc-footnote"> |
| <span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id2">2</a><span class="fn-bracket">]</span></span> |
| <p>Yilmaz, Selim & Kozat, Suleyman. (2020). PySAD: A Streaming Anomaly Detection Framework in Python. 10.48550/arXiv.2009.02572.</p> |
| </aside> |
| <aside class="footnote brackets" id="id6" role="doc-footnote"> |
| <span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id3">3</a><span class="fn-bracket">]</span></span> |
| <p>Jacob Montiel, Max Halford, Saulo Martiello Mastelini, Geoffrey Bolmier, Raphaël Sourty, et al.. (2021). River: machine learning for streaming data in Python. Journal of Machine Learning Research, 2021, 22, pp.1-8.</p> |
| </aside> |
| </aside> |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="apache_beam.ml.anomaly.detectors.zscore.ZScore.learn_one"> |
| <span class="sig-name descname"><span class="pre">learn_one</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.Row" title="apache_beam.pvalue.Row"><span class="pre">Row</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</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="reference internal" href="_modules/apache_beam/ml/anomaly/detectors/zscore.html#ZScore.learn_one"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.detectors.zscore.ZScore.learn_one" title="Link to this definition"></a></dt> |
| <dd><p>Updates the mean and standard deviation trackers with a new data point.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><p><strong>x</strong> – A <cite>beam.Row</cite> containing a single numerical value.</p> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="apache_beam.ml.anomaly.detectors.zscore.ZScore.score_one"> |
| <span class="sig-name descname"><span class="pre">score_one</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.Row" title="apache_beam.pvalue.Row"><span class="pre">Row</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><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/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span></span><a class="reference internal" href="_modules/apache_beam/ml/anomaly/detectors/zscore.html#ZScore.score_one"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.anomaly.detectors.zscore.ZScore.score_one" title="Link to this definition"></a></dt> |
| <dd><p>Scores a data point using the Z-Score.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><p><strong>x</strong> – A <cite>beam.Row</cite> containing a single numerical value.</p> |
| </dd> |
| <dt class="field-even">Returns<span class="colon">:</span></dt> |
| <dd class="field-even"><p>The Z-Score.</p> |
| </dd> |
| <dt class="field-odd">Return type<span class="colon">:</span></dt> |
| <dd class="field-odd"><p><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)">float</a> | None</p> |
| </dd> |
| </dl> |
| </dd></dl> |
| |
| <dl class="py attribute"> |
| <dt class="sig sig-object py" id="apache_beam.ml.anomaly.detectors.zscore.ZScore.ZScore__spec_type"> |
| <span class="sig-name descname"><span class="pre">ZScore__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">'ZScore'</span></em><a class="headerlink" href="#apache_beam.ml.anomaly.detectors.zscore.ZScore.ZScore__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.detectors.zscore.ZScore.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">→</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.detectors.zscore.ZScore.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.detectors.zscore.ZScore.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">→</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.detectors.zscore.ZScore.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.detectors.zscore.ZScore.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.detectors.zscore.ZScore.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.detectors.zscore.ZScore.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">→</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.detectors.zscore.ZScore.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.detectors.zscore.ZScore.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.detectors.zscore.ZScore.unspecifiable" title="Link to this definition"></a></dt> |
| <dd></dd></dl> |
| |
| </dd></dl> |
| |
| </section> |
| |
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