arikw/intervention-learning-framework
intervention-learning-framework (v1, milestone 1) A recursive intervention-learning framework for a real-time sales-call assistant, built simulator-first: every estimator is validated by recovering known ground truth from the generative simulator in intervene/sim/. No production data exists yet; nothing in this repo claims a result from real data, and no estimate is reported without an uncertainty interval. Milestone 1 scope: simulator + detection + offline effect estimation… See the full description on the dataset page: https://huggingface.co/datasets/arikw/intervention-learning-framework.
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1[build-system]2requires = ["setuptools>=68"]3build-backend = "setuptools.build_meta"4 5[project]6name = "intervene"7version = "0.1.0"8description = "Recursive intervention-learning framework for a real-time sales-call assistant (v1, simulator-first)"9requires-python = ">=3.11"10dependencies = [11 "numpy>=1.26",12 "scipy>=1.11",13 "pandas>=2.1",14 "scikit-learn>=1.4",15 "pydantic>=2.6",16]17 18[project.optional-dependencies]19dev = ["pytest>=8.0"]20 21[tool.setuptools.packages.find]22include = ["intervene*"]23 24[tool.pytest.ini_options]25testpaths = ["tests"]26addopts = "-q"