physbo.gp.mean.const module

class physbo.gp.mean.const.const(params=None, max_params=1000000000000.0, min_params=- 1000000000000.0)[source]

Bases: object

constant

get_cand_params(t)[source]

Getting the median array of candidates.

Parameters: t (array_like) – Input array or object that can be converted to an array
Returns: median – A new array holding the result.
Return type: numpy.ndarray

get_grad(num_data, params=None)[source]

Returning a new array of (num_data), filled with ones.

Parameters

Return type

numpy.ndarray

get_mean(num_data, params=None)[source]

Parameters

Return type

numpy.ndarray

get_params_bound()[source]

Getting the boundary list for parameters

Returns: bound – num_params array with the tupple (min_param, max_params)
Return type: list

init_params(params)[source]

Initializing parameters

set_params(params)[source]

Setting parameters defined in const class.

supp_params(params)[source]

Setting maximum and minimum value of parameters.