lasdi.gp
========

.. py:module:: lasdi.gp


Functions
---------

.. autoapisummary::

   lasdi.gp.fit_gps
   lasdi.gp.eval_gp
   lasdi.gp.sample_coefs


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

.. py:function:: fit_gps(X, Y)

   Trains each GP given the interpolation dataset.
   X: (n_train, n_param) numpy 2d array
   Y: (n_train, n_coef) numpy 2d array
   We assume each target coefficient is independent with each other.
   gp_dictionnary is a dataset containing the trained GPs (as sklearn objects)



.. py:function:: eval_gp(gp_dictionnary, param_grid)

   Computes the GPs predictive mean and standard deviation for points of the parameter space grid



.. py:function:: sample_coefs(gp_dictionnary, param, n_samples)

   Generates sample sets of ODEs for one given parameter.
   coef_samples is a list of length n_samples, where each terms is a matrix of SINDy coefficients sampled from the GP predictive
   distributions