pythonfix
econml 0.15.1
This package contains several methods for calculating Conditional Average Treatment Effects
This package contains several methods for calculating Conditional Average Treatment Effects
Stars: 3785, Watchers: 3785, Forks: 713, Open Issues: 367The py-why/EconML repo was created 6 years ago and the last code push was Yesterday.
The project is very popular with an impressive 3785 github stars!
How to Install econml
You can install econml using pip
pip install econml
or add it to a project with poetry
poetry add econml
Package Details
- Author
- PyWhy contributors
- License
- MIT
- Homepage
- None
- PyPi:
- https://pypi.org/project/econml/
- Documentation:
- https://econml.azurewebsites.net/
- GitHub Repo:
- https://github.com/Microsoft/EconML
Classifiers
Related Packages
Errors
A list of common econml errors.
Code Examples
Here are some econml code examples and snippets.
GitHub Issues
The econml package has 367 open issues on GitHub
- Expected input dimension for outcome nuisance model in DML
- Model file extremely large, saved using pickle
- OrthoForest spend days working without result
- ImportError: numpy.core.multiarray failed to import when importing econ.dml
- Doubts about structural equation of DML
- AttributeError: 'CausalEstimate' object has no attribute '_estimator_object'
- Why do OrthoForest and MetaLearners have no score() or tune() methods?
- Using FLAML in tune() methods
- Can we compare performance of DML estimators to DR Estimators based on the output of score method?
- Question on notation for causal forest learners
- Consistent notation for learner APIs
- Propensity model in Domain Adoptation Learner
- Tree Interpreter
- Domain Adoptation Learner
- Enable newer versions of python
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