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Dataframe 1.0.0.0
Author here. At the time I worked in fraud detection and we needed to automate file generation for our BRMS. Initially created this to experiment with “models as dataframe expressions” and Haskell is great for DSL-like stuff. That work is still on going: https://github.com/DataHaskell/symbolic-regression and dataframe has a native sparse oblique tree implementation.
As it’s grown it’s been pretty cool to have transparent schema transformations instead of every function mapping a statement a dataframe you can have function signatures like:
```
Stats
Basic symbolic-regression repo stats
1
11
6.8
2 months ago
DataHaskell/symbolic-regression is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of symbolic-regression is Haskell.
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