Fast Causal Inference
It is a high-performance causal inference (statistical model) computing library based on OLAP, which solves the performance bottleneck of the existing statistical model library (R/Python) under big data
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Fast Causal Inference is Tencent's first open-source causal inference project. It is an OLAP-based high-performance causal inference (statistical model) computing library, which solves the performance bottleneck of existing statistical model libraries (R/Python) under big data, and provides causal inference capabilities for massive data execution in seconds and sub-seconds. At the same time, the threshold for using statistical models is lowered through the SQL language, making it easy to use in production environments. At present, it has supported the causal analysis of WeChat-Search, WeChat-Video-Account and other businesses, greatly improving the work efficiency of data scientists.
Open Source Health
- Stars
- 183
- Forks
- 32
- License
- Not stated
- Last commit
- 9 months ago
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Tencent
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