本文整理汇总了Python中data_store.Relax_data_store.do_cluster方法的典型用法代码示例。如果您正苦于以下问题：Python Relax_data_store.do_cluster方法的具体用法？Python Relax_data_store.do_cluster怎么用？Python Relax_data_store.do_cluster使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类data_store.Relax_data_store的用法示例。
在下文中一共展示了Relax_data_store.do_cluster方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: hasattr
# 需要导入模块: from data_store import Relax_data_store [as 别名]
# 或者: from data_store.Relax_data_store import do_cluster [as 别名]
# Do r20_from_min_r2eff.
if not hasattr(ds, 'r20_from_min_r2eff'):
ds.r20_from_min_r2eff = True
# Remove insignificant level.
if not hasattr(ds, 'insignificance'):
ds.insignificance = 0.0
# The grid search size (the number of increments per dimension). "None" will set default values.
if not hasattr(ds, 'GRID_INC'):
#ds.GRID_INC = None
ds.GRID_INC = 21
# The do clustering.
if not hasattr(ds, 'do_cluster'):
ds.do_cluster = True
# The function tolerance. This is used to terminate minimisation once the function value between iterations is less than the tolerance.
# The default value is 1e-25.
if not hasattr(ds, 'set_func_tol'):
ds.set_func_tol = 1e-25
# The maximum number of iterations.
# The default value is 1e7.
if not hasattr(ds, 'set_max_iter'):
ds.set_max_iter = 10000000
# The verbosity level.
if not hasattr(ds, 'verbosity'):
ds.verbosity = 1