priors.py 文件源码

python
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项目:openml-pimp 作者: janvanrijn 项目源码 文件源码
def get_uniform_paramgrid(hyperparameters, fixed_parameters):
    param_grid = dict()
    for param_name, hyperparameter in hyperparameters.items():
        if fixed_parameters is not None and param_name in fixed_parameters.keys():
            continue
        if isinstance(hyperparameter, CategoricalHyperparameter):
            all_values = hyperparameter.choices
            if all(item in ['True', 'False'] for item in all_values):
                all_values = [bool(item) for item in all_values]
            param_grid[param_name] = all_values
        elif isinstance(hyperparameter, UniformFloatHyperparameter):
            if hyperparameter.log:
                param_grid[param_name] = loguniform(base=2, low=hyperparameter.lower, high=hyperparameter.upper)
            else:
                param_grid[param_name] = uniform(loc=hyperparameter.lower, scale=hyperparameter.upper-hyperparameter.lower)
        elif isinstance(hyperparameter, UniformIntegerHyperparameter):
            if hyperparameter.log:
                param_grid[param_name] = loguniform_int(base=2, low=hyperparameter.lower, high=hyperparameter.upper)
            else:
                param_grid[param_name] = randint(low=hyperparameter.lower, high=hyperparameter.upper+1)
        else:
            raise ValueError()
    return param_grid
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