.. note::
    :class: sphx-glr-download-link-note

    Click :ref:`here <sphx_glr_download_auto_examples_commons.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_commons.py:


Worker for Examples 1-4
=======================

This class implements a very simple worker used in the firt examples.



.. code-block:: python


    import numpy
    import time

    import ConfigSpace as CS
    from hpbandster.core.worker import Worker


    class MyWorker(Worker):

        def __init__(self, *args, sleep_interval=0, **kwargs):
            super().__init__(*args, **kwargs)

            self.sleep_interval = sleep_interval

        def compute(self, config, budget, **kwargs):
            """
            Simple example for a compute function
            The loss is just a the config + some noise (that decreases with the budget)

            For dramatization, the function can sleep for a given interval to emphasizes
            the speed ups achievable with parallel workers.

            Args:
                config: dictionary containing the sampled configurations by the optimizer
                budget: (float) amount of time/epochs/etc. the model can use to train

            Returns:
                dictionary with mandatory fields:
                    'loss' (scalar)
                    'info' (dict)
            """

            res = numpy.clip(config['x'] + numpy.random.randn()/budget, config['x']/2, 1.5*config['x'])
            time.sleep(self.sleep_interval)

            return({
                        'loss': float(res),  # this is the a mandatory field to run hyperband
                        'info': res  # can be used for any user-defined information - also mandatory
                    })
    
        @staticmethod
        def get_configspace():
            config_space = CS.ConfigurationSpace()
            config_space.add_hyperparameter(CS.UniformFloatHyperparameter('x', lower=0, upper=1))
            return(config_space)


**Total running time of the script:** ( 0 minutes  0.000 seconds)


.. _sphx_glr_download_auto_examples_commons.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download

     :download:`Download Python source code: commons.py <commons.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: commons.ipynb <commons.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.readthedocs.io>`_