An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
HPO with GPTuner is not working with current versions of SciPy
Issue 1:
Starting from SciPy v1.11.0 the shape of argument x0 for scipy.optimize.minimize() should be of shape (n,). The current NNI implementation assumes shape (1, n).
Related issues:
scipy.optimize.minimize() returns a scipy.optimize.OptimizeResult object. The current NNI implementation assumes the "fun" item to be an array, when the type should actually be a float.
Related issues:
Description
HPO with GPTuner is not working with current versions of SciPy
Issue 1:
Starting from SciPy v1.11.0 the shape of argument x0 for scipy.optimize.minimize() should be of shape (n,). The current NNI implementation assumes shape (1, n). Related issues:
Issue 2:
scipy.optimize.minimize() returns a scipy.optimize.OptimizeResult object. The current NNI implementation assumes the "fun" item to be an array, when the type should actually be a float. Related issues:
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Checklist
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