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Compose is a machine learning tool for automated prediction engineering. It allows you to structure prediction problems and generate labels for supervised learning. An end user defines an outcome of interest by writing a labeling function, then runs a search to automatically extract training examples from historical data. Its result is then provided to Featuretools for automated feature engineering and subsequently to EvalML for automated machine learning

Uploaded Mon Mar 31 21:03:42 2025
md5 checksum 5be464824b771b99d22ab838b9ec631c
arch x86_64
build py310h06a4308_1
build_number 1
depends matplotlib-base >=3.3.3, pandas >=1.3.0, python >=3.10,<3.11.0a0, seaborn >=0.11.0, tqdm >=4.32.0
license BSD-3-Clause
license_family BSD
md5 5be464824b771b99d22ab838b9ec631c
name composeml
platform linux
sha1 a5a8c234bf8d31da220f23435ede252cd0aae04a
sha256 819a9c907f2923ce7c1a478652e2b64941e3c66d338e17cfcde7058a929ee911
size 66009
subdir linux-64
timestamp 1699092069988
version 0.10.1