Abstract Classes
==================================
dmx-learn captures most distributions in the exponential family. A detailed walkthrough on defining a custom distribution class can be found in :ref:`user_defined`. 
We list the abstract classes that exist in dmx-learn below.

ProbabilityDistribution
-----------------------------

.. autoclass:: dmx.stats.pdist.ProbabilityDistribution
   :members:
   :special-members: __init__

SequenceEncodableProbabilityDistribution
------------------------------------------

.. autoclass:: dmx.stats.pdist.SequenceEncodableProbabilityDistribution
   :members:
   :special-members: __init__


DistributionSampler
------------------------------------------

.. autoclass:: dmx.stats.pdist.DistributionSampler
   :members:
   :special-members: __init__


ConditionalSampler
------------------------------------------

.. autoclass:: dmx.stats.pdist.ConditionalSampler
   :members:
   :special-members: __init__


StatisticAccumulator
------------------------------------------

.. autoclass:: dmx.stats.pdist.StatisticAccumulator
   :members:
   :special-members: __init__



SequenceEncodableStatisticAccumulator
------------------------------------------

.. autoclass:: dmx.stats.pdist.SequenceEncodableStatisticAccumulator
   :members:
   :special-members: __init__


ParameterEstimator
------------------------------------------

.. autoclass:: dmx.stats.pdist.ParameterEstimator
   :members:
   :special-members: __init__

DataSequenceEncoder
------------------------------------------

.. autoclass:: dmx.stats.pdist.DataSequenceEncoder
   :members:
   :special-members: __init__



EncodedDataSequence
------------------------------------------

.. autoclass:: dmx.stats.pdist.EncodedDataSequence
   :members:
   :special-members: __init__