jarvis.ai.uncertainty.gaussian_process_uncertainty
==================================================

.. py:module:: jarvis.ai.uncertainty.gaussian_process_uncertainty

.. autoapi-nested-parse::

   Code to predict properties and their uncertainty.

   ML model used: lgbm



Functions
---------

.. autoapisummary::

   jarvis.ai.uncertainty.gaussian_process_uncertainty.GaussianProcesses


Module Contents
---------------

.. py:function:: GaussianProcesses(x, y, jid, cv=2, n_jobs=-1, n_iter=10, random_state=508842607, scoring='neg_mean_absolute_error', prop='exfoliation_energy', write_files=True)

   Perform Gaussian Processes and determine prediction intervals.

   NOTE: it can deal with ~50 descriptors AT MAX ==> reduction of
         the CFID descriptors is needed