.. _Sensitivity analysis Parametric Frequency Sweep:

Sensitivity analysis for Parametric Frequency Sweep solution (coming soon: feature under development)
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| The Sensitivity analysis for Parametric Frequency Sweep solution provides the sensitivity of any output feature to the input features: each input feature is assigned a coefficient, varying between zero and one, depending on the sensitivity of the output to this input feature. 
| If a coefficient is equal to zero the corresponding input feature does not have any impact on the considered output. If a coefficient is equal to one, the considered output depends only on the corresponding input feature. The values in between allow to establish the relative importance of the input features. 

To perform the Sensitivity analysis:

* Switch to **Metrics** panel

* Choose the file in **Evaluation files** section:

  * If the file was supplied earlier, it is already listed in **Evaluation files**

  * To add a new file for evaluation, press **+** in **Additional** section of **Evaluation files**

* Click on one of the output neurons (representing output features) on the plot in the **Network sensitivity** section

* Each input neuron (representing input features) becomes colored according to the sensitivity of the chosen output neurons with respect to this neuron and its sensitivity coefficient is showed in the plot

An example of the sensitivity analysis:


.. figure:: /images/NetworkSensitivityExampleDatasetPFS.png
    :width: 400
    :alt: Parametric Frequency Sweep network sensitivity 
    :align: center

    Parametric Frequency Sweep network sensitivity. Parametric Frequency Sweep test case: :std:ref:`FSS test case`.
	
.. Note::
    
	By default, the **Network sensitivity** is performed with the last model available in the checkpoint. Use the checkpoint slider in the bottom to choose any other available model.