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hyperdt

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0.0.3

hyperdt-0.0.3-py3-none-any.whl

Wheel Details

Project:	hyperdt
Version:	0.0.3
Filename:	hyperdt-0.0.3-py3-none-any.whl
Download:	[link]
Size:	15428
MD5:	`acd1feddea08f88dd155f98dd1a274d8`
SHA256:	`1bf1b7a11c5e3c7fe876c55f1b0b9212a37727d258e109d1e32da2e100b86ece`
Uploaded:	2024-03-03 06:51:25 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	hyperdt
Version:	0.0.3
Summary:	Fast Hyperboloid Decision Tree Algorithms
Author:	Philippe Chlenski
Author-Email:	pac[at]cs.columbia.edu
Home-Page:	http://www.github.com/pchlenski/hyperdt
Requires-Dist:	numpy
Requires-Dist:	geomstats
Requires-Dist:	matplotlib
Requires-Dist:	scikit-learn
Requires-Dist:	scipy
Requires-Dist:	tqdm
Requires-Dist:	joblib
License-File:	LICENSE

[No description]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.42.0)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
hyperdt/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
hyperdt/conversions.py	sha256=unPy_6eFmVCbvsS3-BQ57iuFti7qjPjA63wwNBQb3ss	2997
hyperdt/ensemble.py	sha256=Lo5prwkhNF2ZTtGzmIO3epltYC4r-mgjiVsqemb4YRc	7294
hyperdt/hyperbolic_trig.py	sha256=8tbv-XLOO3V6VozeFFoahahJ-EPlOoh_x-24UCl5-II	3206
hyperdt/toy_data.py	sha256=T5lOW9lz3IjcV6TpuASk2QF79Ysl3qmnqh3i0RsY3l0	3883
hyperdt/tree.py	sha256=GH021hcYZk9kYr4J6xYlpMRPP-TbHlg5JKeIXLcsiuI	15864
hyperdt/visualization.py	sha256=qvk6q1QKiK2RerB2osiveCmHrzumpse98esQsMKFnHc	10446
hyperdt-0.0.3.dist-info/LICENSE	sha256=nILEIQjpNMZ070n4y5RYLOdnocAviS2a3S3U0_8bWHE	1073
hyperdt-0.0.3.dist-info/METADATA	sha256=WfhlqyScRweJTh0NB2W0yG-drHcSXbAx_wV4sDcHDms	399
hyperdt-0.0.3.dist-info/WHEEL	sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM	92
hyperdt-0.0.3.dist-info/top_level.txt	sha256=6bRvMv_suPnqYCyJEc7JXncT7yKqj5FRl15Ywr9U6rA	8
hyperdt-0.0.3.dist-info/RECORD	—	—

top_level.txt

hyperdt