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‎docs/index.rst‎

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machine learning components for rapid prototyping and experimentation. With
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that in mind, don't just read the docs -- read the source!
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.. _numpy-ml: http://www.github.com/ddbourgin/numpy-ml
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.. _NumPy: http://numpy.scipy.org/
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.. _numpy-ml: https://www.github.com/ddbourgin/numpy-ml
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.. _NumPy: https://numpy.org/
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.. _standard library: https://docs.python.org/3/library/
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.. topic:: This documentation is under development!
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numpy_ml.ngram
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numpy_ml.bandits
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numpy_ml.rl_models
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numpy_ml.nonparametric

‎docs/numpy_ml.bandits.bandits.rst‎

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Bandit Environments
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===================
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``Bandit``
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-----------
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.. autoclass:: numpy_ml.bandits.bandits.Bandit
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:members:
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:undoc-members:
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:inherited-members:
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``MABMultinomialPayoff``
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-------------------------
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.. autoclass:: numpy_ml.bandits.MABMultinomialPayoff
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:members:
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:undoc-members:
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:show-inheritance:
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``MABBernoulliPayoff``
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-----------------------
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.. autoclass:: numpy_ml.bandits.MABBernoulliPayoff
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:members:
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:undoc-members:
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:show-inheritance:
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``MABGaussianPayoff``
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----------------------
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.. autoclass:: numpy_ml.bandits.MABGaussianPayoff
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:members:
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:undoc-members:
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:show-inheritance:
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``MABShortestPath``
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--------------------
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.. autoclass:: numpy_ml.bandits.MABShortestPath
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:members:
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:undoc-members:
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:show-inheritance:

‎docs/numpy_ml.bandits.policies.rst‎

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Policies
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=========
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``BanditPolicyBase``
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--------------------
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.. autoclass:: numpy_ml.bandits.policies.BanditPolicyBase
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:members:
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:undoc-members:
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:inherited-members:
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``EpsilonGreedy``
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-----------------
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.. autoclass:: numpy_ml.bandits.policies.EpsilonGreedy
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:members:
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:undoc-members:
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:show-inheritance:
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``UCB1``
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--------
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.. autoclass:: numpy_ml.bandits.policies.UCB1
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:members:
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:undoc-members:
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:show-inheritance:
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``ThompsonSamplingBetaBinomial``
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--------------------------------
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.. autoclass:: numpy_ml.bandits.policies.ThompsonSamplingBetaBinomial
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:members:
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:undoc-members:
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:show-inheritance:

‎docs/numpy_ml.bandits.rst‎

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Multi-armed bandits
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###################
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.. toctree::
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:maxdepth: 3
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numpy_ml.bandits.bandits
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numpy_ml.bandits.policies
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numpy_ml.bandits.trainer
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‎docs/numpy_ml.bandits.trainer.rst‎

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Trainer
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=======
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``MABTrainer``
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--------------
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.. autoclass:: numpy_ml.bandits.trainer.MABTrainer
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‎docs/numpy_ml.rl_models.rl_utils.rst‎

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Utilities
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=========
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.. automodule:: numpy_ml.rl_models.rl_utils
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:members:
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:inherited-members:

‎docs/numpy_ml.rl_models.rst‎

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numpy_ml.rl_models.trainer
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numpy_ml.rl_models.utils
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numpy_ml.rl_models.rl_utils
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numpy_ml.rl_models.tiles

‎docs/numpy_ml.rl_models.utils.rst‎

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‎docs/numpy_ml.utils.graphs.rst‎

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Graphs
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======
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``Graph``
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---------
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.. autoclass:: numpy_ml.utils.graphs.Graph
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``Edge``
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--------
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.. autoclass:: numpy_ml.utils.graphs.Edge
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``DiGraph``
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-----------
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.. autoclass:: numpy_ml.utils.graphs.DiGraph
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``UndirectedGraph``
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-------------------
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.. autoclass:: numpy_ml.utils.graphs.UndirectedGraph
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``random_unweighted_graph``
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---------------------------
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.. autofunction:: numpy_ml.utils.graphs.random_unweighted_graph
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``random_DAG``
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.. autofunction:: numpy_ml.utils.graphs.random_DAG

‎docs/numpy_ml.utils.rst‎

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numpy_ml.utils.graphs
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numpy_ml.utils.windows

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