physbo.gp.mean package
Module contents
- class physbo.gp.mean.Const(params=None, max_params=1000000000000.0, min_params=-1000000000000.0)[source]
Bases:
object
constant
- Parameters:
params (numpy.ndarray) – Parameters
max_params (float) – Threshold value for specifying the maximum value of the parameter
min_params (float) – Threshold value for specifying the minimum value of the parameter
- 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:
num_data (int) – total number of data
params (object) – not used
- Return type:
numpy.ndarray
- get_mean(num_data, params=None)[source]
- Parameters:
num_data (int) – total number of data
params (numpy.ndarray) – 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
- Parameters:
params (numpy.ndarray) – parameters
- Returns:
params – initialized parameters
- Return type:
numpy.ndarray
- class physbo.gp.mean.Zero[source]
Bases:
object
zero
- get_grad(num_data, params=None)[source]
Returning empty numpy.ndarray
- Parameters:
num_data (int) – not used
params (object) – not used
- Return type:
numpy.ndarray