ravest.gp
=========

.. py:module:: ravest.gp

.. autoapi-nested-parse::

   Gaussian Process kernel management for radial velocity fitting.



Attributes
----------

.. autoapisummary::

   ravest.gp.SUPPORTED_KERNELS


Classes
-------

.. autoapisummary::

   ravest.gp.GPKernel


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

.. py:data:: SUPPORTED_KERNELS
   :value: ['Quasiperiodic']


.. py:class:: GPKernel(kernel_type: str)

   Gaussian Process kernel management class for RV fitting.

   Handles kernel type selection, hyperparameter validation, and kernel
   construction.


   .. py:attribute:: kernel_type


   .. py:method:: get_expected_hyperparams() -> List[str]

      Get list of expected hyperparameter names for this kernel.

      :returns: Names of required hyperparameters
      :rtype: List[str]



   .. py:method:: validate_hyperparams(hyperparams: Dict[str, ravest.param.Parameter]) -> None

      Validate hyperparameters for this kernel type.

      :param hyperparams: Dictionary of hyperparameter values
      :type hyperparams: dict

      :raises ValueError: If hyperparameters are invalid or missing



   .. py:method:: _validate_hyperparams_values(hyperparams_values: Dict[str, float]) -> None

      Validate that hyperparameter values are physically reasonable.

      This is the internal version that works with raw float values.
      Used by run_mcmc and other internal functions.

      :param hyperparams_values: Dictionary mapping hyperparameter names to float values
      :type hyperparams_values: dict

      :raises ValueError: If hyperparameter values are invalid



   .. py:method:: build_kernel(hyperparams: Dict[str, float]) -> tinygp.kernels.Kernel

      Build tinygp kernel object with specified hyperparameters.

      :param hyperparams: Dictionary of hyperparameter values
      :type hyperparams: dict

      :returns: Configured kernel (not full GaussianProcess)
      :rtype: tinygp kernel object