deephyper.skopt.searchcv.point_asdict#
- deephyper.skopt.searchcv.point_asdict(search_space, point_as_list)[source]#
Convert the list representation of a point from a search space to the dictionary representation, where keys are dimension names and values are corresponding to the values of dimensions in the list.
See also
- Parameters:
search_space (dict) – Represents search space. The keys are dimension names (strings) and values are instances of classes that inherit from the class
deephyper.skopt.space.Dimension
(Real, Integer or Categorical)point_as_list (list) – list with parameter values.The order of parameters in the list is given by sorted(params_space.keys()).
- Returns:
params_dict – dictionary with parameter names as keys to which corresponding parameter values are assigned.
- Return type:
Examples
>>> from deephyper.skopt.space.space import Real, Integer >>> from deephyper.skopt.utils import point_asdict >>> search_space = {'name1': Real(0,1), ... 'name2': Integer(2,4), 'name3': Real(-1,1)} >>> point_as_list = [0.66, 3, -0.15] >>> point_asdict(search_space, point_as_list) OrderedDict([('name1', 0.66), ('name2', 3), ('name3', -0.15)])