Sensitivity analysis for a whole dataset
-------------------------------------------

The sensitivity for a whole dataset is calculated as a norm of sensitivities on each sample in this dataset.

* 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**

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

* 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 

An example of the sensitivity analysis for a single sample:

.. figure:: /images/NetworkSensitivityExampleDatasetRegression.png
    :width: 800
    :alt: Tabular network sensitivity for a whole dataset
    :align: center

    Tabular network sensitivity for a whole dataset. 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.