拉丁超立方采样(Latin Hypercube Sampling, LHS)是一种统计采样技术,用于生成一组样本点,这些样本点在参数空间中均匀分布,并且满足每个维度只有一个样本点落在该维度的取值范围内。LHS常用于参数优化和模型验证等领域。在Python中,有几种常用的包可以进行拉丁超立方采样,下面介绍两种常用的方法。1. 使用pyDOE2包pyDOE2...
Simple implementation of Latin Hypercube Sampling. numpydesign-of-experimentslatin-hypercube-samplingspace-filling-designs UpdatedApr 18, 2023 Python Spogis/DWSIMChemDesign Sponsor Star6 Code Issues Pull requests Discussions ChemDesign: DWSIM Experiment Toolkit ...
This is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Planning and Inference 142 (2012) , 763-772 python statistics python3 sampling latin-hypercube latin-hypercube-sampling Updated Aug 7, 2020 HTML ...
This is an implementation of Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity", Journal of Statistical Planning and Inference 142 (2012) , 763-772 python statistics python3 sampling latin-hypercube latin-hypercube-sampling Updated Aug 7, 2020 HTML Improve this page ...