:py:mod:`fragile.callbacks.memory`
==================================

.. py:module:: fragile.callbacks.memory


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

Classes
~~~~~~~

.. autoapisummary::

   fragile.callbacks.memory.ReplayMemory




.. py:class:: ReplayMemory(max_size, names = None, min_size = None, **kwargs)

   Bases: :py:obj:`fragile.core.api_classes.Callback`

   Replay buffer that contains data collected from algorithm runs.

   .. py:attribute:: name
      :annotation: = memory

      

   .. py:attribute:: _log
      

      

   .. py:method:: __len__()


   .. py:method:: __repr__()

      Return repr(self).


   .. py:method:: setup(swarm)

      Prepare the component during the setup phase of the :class:`Swarm`.


   .. py:method:: reset(*args, **kwargs)

      Delete all the data previously stored in the memory.


   .. py:method:: after_env()


   .. py:method:: get_value(name)

      Get attributes of the memory.


   .. py:method:: is_ready()

      Return ``True`` if the number of experiences in the memory is greater than ``min_size``.


   .. py:method:: get_values()

      Return a tuple containing the memorized data for all the saved data attributes.


   .. py:method:: as_dict()


   .. py:method:: iterate_batches(batch_size, as_dict = True)


   .. py:method:: iterate_values(randomize = False)

      Return a generator that yields a tuple containing the data of each state         stored in the memory.


   .. py:method:: append(**kwargs)