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Top 2.1% downloads on pypi.org
Top 4.8% dependent packages on pypi.org
Top 4.8% dependent repos on pypi.org
Top 4.7% forks on pypi.org
Top 4.1% docker downloads on pypi.org
pypi.org : scikit-uplift
Classic approaches of Uplift modelling in scikit-learn style in python
Registry
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Source
- Documentation
- JSON
purl: pkg:pypi/scikit-uplift
Keywords: causal-inference, causality, individual-treatment-effects, machine-learning, net-lift, true-lift, uplift, uplift-modeling, uplift-modelling
License: MIT
Latest release: almost 2 years ago
First release: over 4 years ago
Dependent packages: 1
Dependent repositories: 9
Downloads: 31,005 last month
Stars: 689 on GitHub
Forks: 95 on GitHub
Docker dependents: 1
Docker downloads: 8
Total Commits: 280
Committers: 27
Average commits per author: 10.37
Development Distribution Score (DDS): 0.304
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Last synced: 11 days ago