本文整理汇总了Python中data_store.Relax_data_store.min_results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.min_results方法的具体用法？Python Relax_data_store.min_results怎么用？Python Relax_data_store.min_results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.min_results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: save_res
# 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 min_results [as 别名]
# If no Grid search, set the default values.
else:
for param in MODEL_PARAMS[model_analyse]:
value.set(param=param, index=None)
# Do a grid search, which will store the chi2 value.
#minimise.grid_search(lower=None, upper=None, inc=10, constraints=True, verbosity=ds.verbosity)
# Save result.
ds.grid_results = save_res(cur_spins)
## Now do minimisation.
minimise.execute(min_algor='simplex', func_tol=ds.set_func_tol, max_iter=ds.set_max_iter, constraints=True, scaling=True, verbosity=ds.verbosity)
# Save results
ds.min_results = save_res(cur_spins)
# Now do clustering
if ds.do_cluster:
# Change pipe.
ds.pipe_name_MODEL_CLUSTER = "%s_%s_CLUSTER"%(ds.pipe_name, model_analyse)
pipe.copy(pipe_from=ds.pipe_name, pipe_to=ds.pipe_name_MODEL_CLUSTER)
pipe.switch(pipe_name=ds.pipe_name_MODEL_CLUSTER)
# Copy R2eff, but not the original parameters
value.copy(pipe_from=ds.pipe_name_r2eff, pipe_to=ds.pipe_name_MODEL_CLUSTER, param='r2eff')
# Then select model.
relax_disp.select_model(model=model_analyse)
# Then cluster