Evaluations & Training ¶
- hyppo.train. train_evaluation ( x_sc , samples , trainer , model , dist , output = 'out' , data = {} , uq = {} , ** kwargs ) [source] ¶
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Execute training according to requested trainer mode. This function looks at the trainer mode requested in the configuration file and initiate the training accordingly.
- Parameters :
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x_sc
dict
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Random hyperparameter set. Each key corresponds to the hyperparameter names and the corresponding value to the randomly selected sample value.
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samples
numpy.ndarray
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Random hyperparameter integer values for single target evaluation.
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trainer
str
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Trainer mode to be used.
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model
dict
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Model setting extracted from the YAML configuration file.
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output
str
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Directory name to save output training results.
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data
dict
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Data setting extracted from the YAML configuration file (empty by default).
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uq
dict
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Uncertainty quantification parameter setting extracted from the YAML configuration file (empty by default).
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x_sc
- Returns :
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res
float
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Output of objective function.
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res