@@ -22,6 +22,8 @@ The following learners are implemented:
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estimate the mean value of the function at each point,
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- `~adaptive.IntegratorLearner `, for
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when you want to intergrate a 1D function ``f: ℝ → ℝ ``.
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+ - ``~adaptive.BalancingLearner ``, for when you want to run several learners at once,
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+ selecting the “best” one each time you get more points.
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Meta-learners (to be used with other learners):
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@@ -33,6 +35,8 @@ In addition to the learners, ``adaptive`` also provides primitives for
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running the sampling across several cores and even several machines,
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with built-in support for
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`concurrent.futures <https://docs.python.org/3/library/concurrent.futures.html >`_,
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+ `mpi4py <https://mpi4py.readthedocs.io/en/stable/mpi4py.futures.html >`_,
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+ `loky <https://loky.readthedocs.io/en/stable/ >`_,
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`ipyparallel <https://ipyparallel.readthedocs.io/en/latest/ >`_ and
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`distributed <https://distributed.readthedocs.io/en/latest/ >`_.
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@@ -168,13 +172,3 @@ on the *Play* :fa:`play` button or move the sliders.
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fig
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see more in the :ref: `Tutorial Adaptive `.
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-
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- .. include :: ../../README.rst
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- :start-after: not-in-documentation-end
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- :end-before: credits-end
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-
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- .. mdinclude :: ../../AUTHORS.md
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-
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- .. include :: ../../README.rst
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- :start-after: credits-end
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- :end-before: references-start
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