gradientinstitute/causal-inspection
A Scikit-learn inspired inspection module for causal models.
PythonNOASSERTION
Issues
- 0
Add `readthedocs.yaml`
#57 opened by jack-fs - 3
Github actions spontaneously failing
#55 opened by jack-fs - 0
README uses previous interface
#48 opened by jack-fs - 1
Sphinx API and Example documentation
#14 opened by dsteinberg - 0
Add documentation generation to CI
#52 opened by jack-fs - 4
Transition away from Flake8 for linting
#43 opened by jack-fs - 0
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Finding and visualising important interactions
#50 opened by dsteinberg - 0
- 0
Use `pyproject.toml` for package configuration
#46 opened by jack-fs - 0
Speed up/cache model evaluation testing
#45 opened by jack-fs - 0
Update/fix documentation
#47 opened by jack-fs - 1
Type annotations
#35 opened by jack-fs - 0
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- 0
- 3
Simplify `Evaluator` interface
#19 opened by jack-fs - 1
Test evaluators, model_evaluations
#18 opened by jack-fs - 3
TypeError in `dependence`
#33 opened by jack-fs - 1
Clean up code with multiple dispatch
#4 opened by dsteinberg - 0
Tests for `dependence` module
#30 opened by dsteinberg - 0
Simplify `BinaryTreatmentEvaluator`
#32 opened by dsteinberg - 1
- 0
Handle "groups" more simply and elegantly
#26 opened by dsteinberg - 0
Add random seeds to simulations
#24 opened by jack-fs - 4
- 3
- 0
Enable flake 8 linting
#3 opened by dsteinberg - 0
- 0
Make evaluators return/create plottable objects rather than plot as a side-effect
#2 opened by dsteinberg - 0
- 2
- 0
Investigate integration with EconML
#9 opened by finnhacks42 - 0
- 1
Improved tools for long running tasks
#10 opened by finnhacks42 - 0
handle pipelines where features change
#8 opened by finnhacks42 - 1
Example notebooks on open data
#7 opened by finnhacks42