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EvalML is an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions.

copied from cf-staging / evalml-core

Filters

	Type	Size	Name	Uploaded	Downloads	Labels
	conda	5.5 MB	\| noarch/evalml-core-0.18.0-pyha770c72_0.tar.bz2	5 years and 1 month ago	3133	main
	conda	5.5 MB	\| noarch/evalml-core-0.17.0-pyha770c72_1.tar.bz2	5 years and 1 month ago	3201	main
	conda	5.5 MB	\| noarch/evalml-core-0.17.0-pyha770c72_0.tar.bz2	5 years and 1 month ago	3178	main
	conda	5.5 MB	\| noarch/evalml-core-0.16.1-pyha770c72_5.tar.bz2	5 years and 2 months ago	3144	main
	conda	5.5 MB	\| noarch/evalml-core-0.16.1-pyha770c72_4.tar.bz2	5 years and 2 months ago	3192	main
	conda	5.5 MB	\| noarch/evalml-core-0.16.1-pyha770c72_3.tar.bz2	5 years and 2 months ago	3287	main
	conda	5.5 MB	\| noarch/evalml-core-0.16.1-pyha770c72_2.tar.bz2	5 years and 2 months ago	3194	main
	conda	5.5 MB	\| noarch/evalml-core-0.16.1-pyha770c72_1.tar.bz2	5 years and 2 months ago	3208	main
	conda	5.5 MB	\| noarch/evalml-core-0.16.1-pyha770c72_0.tar.bz2	5 years and 3 months ago	3188	main
	conda	5.5 MB	\| noarch/evalml-core-0.16.0-pyha770c72_0.tar.bz2	5 years and 3 months ago	3407	main
	conda	5.5 MB	\| noarch/evalml-core-0.15.0-pyha770c72_1.tar.bz2	5 years and 3 months ago	3219	main
	conda	5.5 MB	\| noarch/evalml-core-0.15.0-pyha770c72_0.tar.bz2	5 years and 4 months ago	3232	main
	conda	5.5 MB	\| noarch/evalml-core-0.14.1-py_1.tar.bz2	5 years and 4 months ago	3286	main
	conda	5.5 MB	\| noarch/evalml-core-0.14.1-py_0.tar.bz2	5 years and 5 months ago	3332	main
	conda	5.5 MB	\| noarch/evalml-core-0.13.2-py_1.tar.bz2	5 years and 5 months ago	3312	main
	conda	5.5 MB	\| noarch/evalml-core-0.13.2-py_0.tar.bz2	5 years and 5 months ago	3305	main
	conda	5.5 MB	\| noarch/evalml-core-0.13.1-py_0.tar.bz2	5 years and 6 months ago	3402	main
	conda	5.3 MB	\| noarch/evalml-core-0.12.2-py_1.tar.bz2	5 years and 6 months ago	3528	main
	conda	5.3 MB	\| noarch/evalml-core-0.12.2-py_0.tar.bz2	5 years and 6 months ago	3538	main

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