.. _`Fast DTW (Dynamic Time Warping)`:

.. _`com.sympathyfordata.timeseriesanalysis.fast_dtw`:

Fast DTW (Dynamic Time Warping)
```````````````````````````````

.. image:: dtw.svg
   :width: 48


Fast Dynamic Time Warp provides a mapping between the time points of two signals and outputs the final distance between them.




Documentation
:::::::::::::

For additional details please refer to the
`fastdtw <https://pypi.org/project/fastdtw>`_ library


Definition
::::::::::


Input ports
...........

    **signal 1**  table
        Signal 1

    **signal 2**  table
        Signal 2


Output ports
............

    **path**  table
        Path

    **distance**  table
        Distance




Configuration
.............

    **Distance function** (distance)
        Function for calculating distances between two rows (one from each table), for more details refer to `Distance Metrics <https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.DistanceMetric.html>`_
    **P** (p)
        power used for Minkowski distance







Examples
........

* :download:`dynamic_time_warp.syx </Examples/Time Series/dynamic_time_warp.syx>`




Implementation
..............

.. automodule:: node_dtw
    :noindex:

.. class:: FastDTW
    :noindex: