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Adding multi-fidelity optimization #11
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…ts to model creation
Adding Multi fidelity optimization
logger = logging.getLogger(__name__) | ||
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class MultiFidelityGenerator: |
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This needs a docstring
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def create_model(train_x, train_outputs, input_normalize, custom_model=None, **kwargs): | ||
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def create_model(train_x, train_y, train_c, vocs, custom_model=None, **kwargs): |
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This needs a docstring
assert isinstance(model, botorch.models.model.Model) | ||
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return model | ||
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def create_multi_fidelity_model(train_x, train_obj, train_c, vocs): |
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This needs a docstring
See added examples for use case