Sensitivity analysis for a single sample
---------------------------------------------

* Switch to **Evaluation** 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**

  * For **Sensitivity analysis**, the output file is not required

* Once the input file clicked (or a pair input/output), choose a sample to study using **Sample** slider

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

* Each neuron becomes colored according to the sensitivity of the chosen output neurons with respect to this neuron 

* For the input neurons (representing the input features): click on an input neuron to get the calculated value of sensitivity in addition to color 

An example of the sensitivity analysis for a single sample:

.. figure:: /images/NetworkSensitivityExampleSingleSampleRegression.png
    :width: 800
    :alt: Tabular network sensitivity for a single sample
    :align: center

    Tabular network sensitivity for a single sample. Regression test case: :std:ref:`Energy consumption 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.