Python libraries that replace hundreds of lines of custom code. LiteLLM, Instructor, Tenacity, and 5 more I use in every ...
Make a Python function available in Calc, run it against the open spreadsheet, and troubleshoot missing macros or imports ...
Learn seven design patterns for data science code, from Strategy and Adapter to Command and Proxy, each matched to the ...
Python implementation of subset simulation (SuS) for Bayesian evidence estimation and posterior sampling, using a Nataf transformation to work in standard normal space. This is a line-by-line port of ...
Never edit a checked-in template in place for a study. Copy it into your project's code subdataset and adapt the copy — see Repository structure and naming convention. LaBGAScore is a curated ...
Ensure data pipeline reliability and troubleshoot issues fast by using standard Python logging directly in BigQuery UDFs for real-time observability.
Tool calling lets an AI model request a function, API, search, or action using structured arguments. This guide traces the ...
时间序列预测是机器学习与数据分析中的经典命题，当变量维度上升为多元时间序列时，交叉依赖与长周期波动对模型设计和工程实现提出更高要求。理解序列分解、线性层映射等基础原理，有助于把握LSTF（长序列时间序列预测）类模型的本质。DLinear模型以简洁的分解和线性结构在长序列预测中 ...
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