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ACER algorithm (#184)
* initial ACER commit * Code cleanup + several fixes * Q-retrace bug fix + small clean-ups * added documentation for acer * ACER benchmarks * update benchmarks table * Add nightly running of golden and trace tests. (#202) Resolves #200 * comment out nightly trace tests until values reset. * remove redundant observe ignore (#168) * ensure nightly test env containers exist. (#205) Also bump integration test timeout * wxPython removal (#207) Replacing wxPython with Python's Tkinter. Also removing the option to choose multiple files as it is unused and causes errors, and fixing the load file/directory spinner. * Create CONTRIBUTING.md (#210) * Create CONTRIBUTING.md. Resolves #188 * run nightly golden tests sequentially. (#217) Should reduce resource requirements and potential CPU contention but increases overall execution time. * tests: added new setup configuration + test args (#211) - added utils for future tests and conftest - added test args * new docs build * golden test update
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<span class="sd">"""</span>
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<span class="sd"> :param num_predicted_steps_ahead: (int)</span>
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<span class="sd"> Number of future steps to predict measurements for. The future steps won't be sequential, but rather jump</span>
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<span class="sd"> in multiples of 2. For example, if num_predicted_steps_ahead = 3, then the steps will be: t+1, t+2, t+4</span>
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<span class="sd"> in multiples of 2. For example, if num_predicted_steps_ahead = 3, then the steps will be: t+1, t+2, t+4.</span>
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<span class="sd"> The predicted steps will be [t + 2**i for i in range(num_predicted_steps_ahead)]</span>
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<span class="sd"> :param goal_vector: (List[float])</span>
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<span class="sd"> The goal vector will weight each of the measurements to form an optimization goal. The vector should have</span>
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<script type="text/javascript" src="../../../_static/jquery.js"></script>
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<script type="text/javascript" src="../../../_static/underscore.js"></script>
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<script type="text/javascript" src="../../../_static/doctools.js"></script>
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<script async="async" type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script>
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<script type="text/javascript" src="../../../_static/language_data.js"></script>
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<script async="async" type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/latest.js?config=TeX-AMS-MML_HTMLorMML"></script>
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