:mod:`lookout.style.format.optimizer`
=====================================

.. py:module:: lookout.style.format.optimizer

.. autoapi-nested-parse::

   Optimize base model hyper-parameters.










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






.. py:class:: Optimizer(cv:int, n_iter:int, n_jobs:Optional[int], random_state:int, base_model_name_categories:Sequence[str], max_depth_categories:Sequence[Optional[int]], max_features_categories:Sequence[Optional[str]], min_samples_leaf_min:int, min_samples_leaf_max:int, min_samples_split_min:int, min_samples_split_max:int)

   Optimize base model hyper-parameters.


   

   

   .. attribute:: _log
      

      



   

   

   

   .. method:: optimize(self, X:csr_matrix, y:numpy.ndarray)

      
      Conduct hyper-parameters search to find the best base model given the data.

      :param X: Sparse feature matrix.
      :param y: Labels numpy array.
      :return: Best base model score and parameters.

      



   

   .. method:: _cost(self, *, X:csr_matrix, y:numpy.ndarray, **params)

      











.. py:class:: _VerboseLogCallback(log)

   Callback to control the verbosity and log output properly.

   Adopted from skopt library, VerboseCallback class.


   

   

   

   .. method:: __call__(self, res)

      
      Call callback method.

      :param res: The optimization as a OptimizeResult object.
      :return: None