Skip to content

Latest commit

 

History

History
55 lines (42 loc) · 1.85 KB

algorithms.rst

File metadata and controls

55 lines (42 loc) · 1.85 KB
Raw

Learning Algorithms

.. autofunction:: pybnesian.learning.algorithms.hc

This classes implement many different learning structure algorithms.

.. autoclass:: pybnesian.learning.algorithms.GreedyHillClimbing
    :members:
    :special-members: __init__


.. autoclass:: pybnesian.learning.algorithms.PC
    :members:
    :special-members: __init__


.. autoclass:: pybnesian.learning.algorithms.MMPC
    :members:
    :special-members: __init__


.. autoclass:: pybnesian.learning.algorithms.MMHC
    :members:
    :special-members: __init__


.. autoclass:: pybnesian.learning.algorithms.DMMHC
    :members:
    :special-members: __init__

Learning Algorithms Components

.. autoclass:: pybnesian.learning.algorithms.MeekRules
    :members:

Learning Callbacks

.. autoclass:: pybnesian.learning.algorithms.callbacks.Callback
    :members:
    :special-members: __init__


.. autoclass:: pybnesian.learning.algorithms.callbacks.SaveModel
    :show-inheritance:
    :members:
    :special-members: __init__

Bibliography

[pc-stable]Colombo, D., & Maathuis, M. H. (2014). Order-independent constraint-based causal structure learning. Journal of Machine Learning Research, 15, 3921–3962.
[mmhc]Tsamardinos, I., Brown, L. E., & Aliferis, C. F. (2006). The max-min hill-climbing Bayesian network structure learning algorithm. Machine Learning, 65(1), 31–78.
[dmmhc]Trabelsi, G., Leray, P., Ben Ayed, M., & Alimi, A. M. (2013). Dynamic MMHC: A local search algorithm for dynamic Bayesian network structure learning. Advances in Intelligent Data Analysis XII, 8207 LNCS, 392–403.
[meek]Meek, C. (1995). Causal Inference and Causal Explanation with Background Knowledge. In Eleventh Conference on Uncertainty in Artificial Intelligence (UAI'95), 403–410.