當前位置: 首頁>>代碼示例>>Python>>正文


Python dynesty.DynamicNestedSampler方法代碼示例

本文整理匯總了Python中dynesty.DynamicNestedSampler方法的典型用法代碼示例。如果您正苦於以下問題:Python dynesty.DynamicNestedSampler方法的具體用法?Python dynesty.DynamicNestedSampler怎麽用?Python dynesty.DynamicNestedSampler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dynesty的用法示例。


在下文中一共展示了dynesty.DynamicNestedSampler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: run_sampler

# 需要導入模塊: import dynesty [as 別名]
# 或者: from dynesty import DynamicNestedSampler [as 別名]
def run_sampler(self):
        import dynesty
        self.sampler = dynesty.DynamicNestedSampler(
            loglikelihood=self.log_likelihood,
            prior_transform=self.prior_transform,
            ndim=self.ndim, **self.sampler_init_kwargs)

        if self.check_point:
            out = self._run_external_sampler_with_checkpointing()
        else:
            out = self._run_external_sampler_without_checkpointing()

        # Flushes the output to force a line break
        if self.kwargs["verbose"]:
            print("")

        # self.result.sampler_output = out
        self._generate_result(out)
        if self.plot:
            self.generate_trace_plots(out)

        return self.result 
開發者ID:lscsoft,項目名稱:bilby,代碼行數:24,代碼來源:dynamic_dynesty.py

示例2: __init__

# 需要導入模塊: import dynesty [as 別名]
# 或者: from dynesty import DynamicNestedSampler [as 別名]
def __init__(self, model, nlive, nprocesses=1,
                 loglikelihood_function=None, use_mpi=False, run_kwds=None,
                 **kwargs):
        self.model = model
        log_likelihood_call, prior_call = setup_calls(
            model,
            nprocesses=nprocesses,
            loglikelihood_function=loglikelihood_function)
        # Set up the pool
        pool = choose_pool(mpi=use_mpi, processes=nprocesses)
        if pool is not None:
            pool.size = nprocesses

        self.run_kwds = {} if run_kwds is None else run_kwds
        self.nlive = nlive
        self.names = model.sampling_params
        self.ndim = len(model.sampling_params)
        self.checkpoint_file = None
        if self.nlive < 0:
            # Interpret a negative input value for the number of live points
            # (which is clearly an invalid input in all senses)
            # as the desire to dynamically determine that number
            self._sampler = dynesty.DynamicNestedSampler(log_likelihood_call,
                                                         prior_call, self.ndim,
                                                         pool=pool, **kwargs)
        else:
            self._sampler = dynesty.NestedSampler(log_likelihood_call,
                                                  prior_call, self.ndim,
                                                  nlive=self.nlive,
                                                  pool=pool, **kwargs) 
開發者ID:gwastro,項目名稱:pycbc,代碼行數:32,代碼來源:dynesty.py


注:本文中的dynesty.DynamicNestedSampler方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台,相關代碼片段篩選自各路編程大神貢獻的開源項目,源碼版權歸原作者所有,傳播和使用請參考對應項目的License;未經允許,請勿轉載。