deephyper.skopt.optimizer.optimizer#
Functions
Cook a default estimator. |
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Cook a default initial point generator. |
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Prepare a Scikit-Learn preprocessing pipeline to map the output objective to a different space. |
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Initialize an OptimizeResult object. |
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A wrapper around the acquisition function that is called by fmin_l_bfgs_b. |
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Check if an estimator's |
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Return the logarithm of x to the given base. |
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Create a |
Classes
Search space dimension that can take on categorical values. |
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Abstract class representing a scalarizing function. |
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Run bayesian optimisation loop in DeepHyper. |
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Initialize a search space from given specifications. |
Exceptions
Raised when the search has seen |
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"Raised when the search cannot sample new points from the ConfigSpace. |