本文整理匯總了Python中data_store.Relax_data_store.grid_results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_results方法的具體用法？Python Relax_data_store.grid_results怎麽用？Python Relax_data_store.grid_results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_results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: save_res
# 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_results [as 別名]
# This speeds it up considerably.
if ds.r20_from_min_r2eff:
relax_disp.r20_from_min_r2eff(force=False)
# Then do grid search.
minimise.grid_search(lower=None, upper=None, inc=ds.GRID_INC, constraints=True, verbosity=ds.verbosity)
# 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