.. _`Covariance Matrix`:

.. _`com.sympathyfordata.advancedmachinelearning.covariance_matrix`:

Covariance Matrix
`````````````````

.. image:: covariance.svg
   :width: 48


Computes the co-variance matrix for a dataset




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

Maximum likelihood covariance estimator


Definition
::::::::::


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

    **data**  table
        data


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

    **result**  table
        Table with results




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

    **Skip centering data** (assume_centered)
        If True, data are not centered before computation. Useful when working with data whose mean is almost, but not exactly zero. If False (default), data are centered before computation
    **Create name column** (name)
        Creates an additional column first in the data showing the original column name for each corresponding row









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

.. automodule:: node_covariance
    :noindex:

.. class:: NodeCovarianceMatrix
    :noindex: