本文整理匯總了Python中data_store.Relax_data_store.dx_lower_bounds方法的典型用法代碼示例。如果您正苦於以下問題：Python Relax_data_store.dx_lower_bounds方法的具體用法？Python Relax_data_store.dx_lower_bounds怎麽用？Python Relax_data_store.dx_lower_bounds使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類data_store.Relax_data_store的用法示例。
在下文中一共展示了Relax_data_store.dx_lower_bounds方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: hasattr
# 需要導入模塊: from data_store import Relax_data_store [as 別名]
# 或者: from data_store.Relax_data_store import dx_lower_bounds [as 別名]
ds.opendx = True
# Which parameters to map on chi2 surface.
if not hasattr(ds, 'dx_params'):
ds.dx_params = ['dw', 'pA', 'kex']
# How many increements to map for each of the parameters.
# Above 20 is good. 70 - 100 is a quite good resolution.
# 4 is for speed tests.
if not hasattr(ds, 'dx_inc'):
ds.dx_inc = 70
#ds.dx_inc = 4
# If bounds set to None, uses the normal Grid search bounds.
if not hasattr(ds, 'dx_lower_bounds'):
ds.dx_lower_bounds = None
#ds.dx_lower_bounds = [0.0, 0.5, 1.0 ]
# If bounds set to None, uses the normal Grid search bounds.
if not hasattr(ds, 'dx_upper_bounds'):
#ds.dx_upper_bounds = None
ds.dx_upper_bounds = [10.0, 1.0, 3000.0]
# If dx_chi_surface is None, it will find Innermost, Inner, Middle and Outer Isosurface
# at 10, 20, 50 and 90 percentile of all chi2 values.
if not hasattr(ds, 'dx_chi_surface'):
ds.dx_chi_surface = None
#ds.dx_chi_surface = [1000.0, 20000.0, 30000., 30000.00]
##################################################################################