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objectiv-modelhub

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0.0.28 objectiv_modelhub-0.0.28-py3-none-any.whl

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Project: objectiv-modelhub
Version: 0.0.28
Filename: objectiv_modelhub-0.0.28-py3-none-any.whl
Download: [link]
Size: 52971
MD5: 8563123e78edc9bf7d243be57ea43f06
SHA256: 0b3718bb68cf9728b2973607a6a0ebb5f1ea95c0a4fa6745d242501d4e692753
Uploaded: 2023-01-13 15:29:47 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: objectiv-modelhub
Version: 0.0.28
Summary: The open model hub is a growing collection of data models that you can take, combine and run for product analysis and exploration.
Author: Objectiv B.V.
Author-Email: hi[at]objectiv.io
Home-Page: https://github.com/objectiv/objectiv-analytics/
Project-Url: Documentation, https://objectiv.io/docs
Project-Url: Bug Tracker, https://github.com/objectiv/objectiv-analytics/issues
License: Apache License 2.0
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 4 - Beta
Requires-Python: >=3.7
Requires-Dist: sqlalchemy (<=1.4.27)
Requires-Dist: pyarrow (<7.0dev)
Requires-Dist: objectiv-bach[bigquery] (==0.0.28)
Requires-Dist: requests
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: plotly
Requires-Dist: scikit-learn
Requires-Dist: typing-extensions
Requires-Dist: mypy (==0.910); extra == "dev"
Requires-Dist: pycodestyle (==2.7.0); extra == "dev"
Requires-Dist: pytest (==6.2.5); extra == "dev"
Requires-Dist: pytest-env; extra == "dev"
Requires-Dist: pytest-xdist (==2.5.0); extra == "dev"
Requires-Dist: filelock (==3.7.1); extra == "dev"
Requires-Dist: types-requests; extra == "dev"
Requires-Dist: python-dotenv (==0.20.0); extra == "dev"
Requires-Dist: pyathena (>=2.10.0); extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
[Description omitted; length: 2455 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
modelhub/__init__.py sha256=pLc6bWNyzgNdeYByyx6l9O9xyHCJqY6t5PG7qTuiwEw 2571
modelhub/aggregate.py sha256=G9iAgKUWwrmbkecxKxro4VKS8rnsx5rVMwX8knvZ7-M 29201
modelhub/decorators.py sha256=jqfAgpDWsPKTYl5by3Tlt26CXxqL5kvLdl8iipYy1DE 5218
modelhub/map.py sha256=1BAQ5KH3wqwavSvi3foibJge-XKEdN_oBbvPqGR5YSQ 16164
modelhub/metrics.py sha256=ky4L0YBI90DckTvbN1LeTRFUsZsQ3SLmMPyS3IG9EM4 1192
modelhub/modelhub.py sha256=wfsrHoBdxRs-kzEE1lNXX0AWsGEqEf15qiVLOfqAu5A 18355
modelhub/py.typed sha256=HrP9vvm8NzRMpYuMIFGJG6CkwVGBx80Gt3z0G1FJoEc 239
modelhub/util.py sha256=wnn-OGdS3I5hSPpufTkk580GUd4CrFOQzCpe8gmWXvU 7371
modelhub/models/__init__.py sha256=18qQS_iYRCCOcohgKeDZZLlefSH_FEDqXZ5LeIQ4LSQ 134
modelhub/models/funnel_discovery.py sha256=7Xln6n3Zb-wOmKiqsct98bnSGJAr2O7_Avk5rVHWENM 21108
modelhub/models/logistic_regression.py sha256=T9mq0WZqaQMcUnl8U1JoR4dr00eDlgJ8lamD_m4cdcw 4685
modelhub/pipelines/__init__.py sha256=LPoAkUmPH0-vShGO5B9wfQP5M5r1qVs4o61I2lFIoos 396
modelhub/pipelines/base_pipeline.py sha256=RnGOUMOIU8HOnaDhqS-f9953xCiD-ao263xXCJhhCv0 3422
modelhub/pipelines/extracted_contexts.py sha256=Mx6x5h7lrFcK5l1BaVwUSCv-IxLnyBCP6cMS0pmQn5g 21222
modelhub/pipelines/identity_resolution.py sha256=lvJ2AHbiYQYfhn9ymqeACNbrttDUHDvttuXA9zzjpBI 9532
modelhub/pipelines/sessionized_data.py sha256=Ll-4ywF_EGAQRF3a2cW-u1vOV09JIVko-rp-kLnaZr4 12357
modelhub/pipelines/util.py sha256=WE7B3PoRH_s7utBr26uRonBzaHdiMrPbETow4FX5ItY 3697
modelhub/series/__init__.py sha256=GwqKWAD3Tm0aM91huvx61XAqSxVuZVmcS5_robAO0sM 83
modelhub/series/series_objectiv.py sha256=sqCYEBkKWHhGiYAqwcCgfEKE7raf35iCD1Y0Gm0xKiI 22512
objectiv_modelhub-0.0.28.dist-info/METADATA sha256=JmljSNDKOsYrMegQXR5iwH8ieKaqhkjSFLFTUI7Dto0 3948
objectiv_modelhub-0.0.28.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
objectiv_modelhub-0.0.28.dist-info/top_level.txt sha256=OwUDtjNVLzVdp6LbLCPWQNkockXQgN06d5XokpgGmP8 9
objectiv_modelhub-0.0.28.dist-info/RECORD — —

top_level.txt

modelhub