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comment out unanswered questions
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docs/source/faq.rst

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@@ -32,12 +32,6 @@ When using the `~adaptive.Runner` the learner's function is evaluated in differe
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Therefore, the ``function`` needs to be serialized (pickled) and send to the executor, ``lambda``\s cannot be pickled.
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Instead you can probably use ``functools.partial`` to accomplish what you want to do.
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I get "``concurrent.futures.process.BrokenProcessPool``: A process in the process pool was terminated abruptly while the future was running or pending." what does it mean?
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Where can I learn more about the algorithm used?
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We'd say that Bayesian modeling is good for really computationally expensive data, regular grids for really cheap data, and local adaptive algorithms are somewhere in the middle.
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.. I get "``concurrent.futures.process.BrokenProcessPool``: A process in the process pool was terminated abruptly while the future was running or pending." what does it mean?
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What is the difference with Kriging?
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What is the difference with Kriging?
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What is the difference with adaptive meshing in CFD or computer graphics?
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What is the difference with adaptive meshing in CFD or computer graphics?
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Can I use this to tune my hyper parameters for machine learning models?
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Can I use this to tune my hyper parameters for machine learning models?
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How to use Adaptive with MATLAB?
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How to use Adaptive with MATLAB?
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Missing a question that you think belongs here? Let us `know <https://github.com/python-adaptive/adaptive/issues/new>`_.

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