本文整理匯總了Python中data_store.Relax_data_store.GRID_INC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.GRID_INC方法的具體用法？Python Relax_data_store.GRID_INC怎麽用？Python Relax_data_store.GRID_INC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.GRID_INC方法的2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 GRID_INC [as 別名]
# The results directory.
if not hasattr(ds, 'resdir'):
ds.resdir = None
# 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
示例2: 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 GRID_INC [as 別名]
# The results directory.
if not hasattr(ds, 'resdir'):
ds.resdir = None
# 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 = 10
# 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 = 100000