libstp.timing.models
====================

.. py:module:: libstp.timing.models


Classes
-------

.. autoapisummary::

   libstp.timing.models.AnomalyDetection
   libstp.timing.models.StepStatistics


Module Contents
---------------

.. py:class:: AnomalyDetection

   An outlier execution relative to the recent baseline for one signature.


   .. py:attribute:: signature
      :type:  str


   .. py:attribute:: duration
      :type:  float


   .. py:attribute:: expected_mean
      :type:  float


   .. py:attribute:: expected_stddev
      :type:  float


   .. py:attribute:: threshold_multiplier
      :type:  float


   .. py:attribute:: deviation_sigma
      :type:  float


   .. py:attribute:: faster_than_expected
      :type:  bool


   .. py:attribute:: timestamp
      :type:  float


.. py:class:: StepStatistics

   Rolling statistics computed from recent non-anomalous step durations.


   .. py:attribute:: mean
      :type:  float


   .. py:attribute:: stddev
      :type:  float


   .. py:attribute:: min
      :type:  float


   .. py:attribute:: max
      :type:  float


   .. py:attribute:: count
      :type:  int