Wheelodex » Projects » GradientDR

GradientDR

View on PyPI — Reverse Dependencies (0)

0.1.3.4 GradientDR-0.1.3.4-py3-none-any.whl

Wheel Details

Project: GradientDR
Version: 0.1.3.4
Filename: GradientDR-0.1.3.4-py3-none-any.whl
Download: [link]
Size: 45109
MD5: 5a252c2300d2498865d643257a4289f9
SHA256: 1a860c3836617450af3edc19ff13d588ff4c677e3adf322ed9cbc66102f21c6b
Uploaded: 2022-07-18 13:37:01 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: GradientDR
Version: 0.1.3.4
Summary: A package for evaluating dimensionality reduction algorithms
Author: Andrew Draganov
Author-Email: draganovandrew[at]cs.au.dk
Requires-Dist: cython (==0.29.30)
Requires-Dist: matplotlib (==3.5.2)
Requires-Dist: numba (==0.55.2)
Requires-Dist: numpy (==1.21)
Requires-Dist: pandas (==1.4.3)
Requires-Dist: pytest (==7.1.2)
Requires-Dist: python-mnist (==0.7)
Requires-Dist: scikit-learn (==1.1.1)
Requires-Dist: scipy (==1.8.1)
Requires-Dist: tqdm (==4.64.0)
Requires-Dist: torch; extra == "pytorch"
Requires-Dist: umap-learn (==0.5.3); extra == "umap"
Provides-Extra: pytorch
Provides-Extra: umap
[No description]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
GDR/__init__.py sha256=iMrfh8tKiT3Is0ZGiNUtIH5F2mRvZQmkSTTARKb_5eI 45
GDR/dim_reduce_dataset.py sha256=7Dz_cAWBVHPdK0tl9V_28bH2At1wAI2M3RzJp3eizjQ 5185
GDR/experiment_utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
GDR/experiment_utils/decorator_rapids.py sha256=jOeL4oo5R4AbV93_YeSNb8oNbW8fYHnfUSplN5zm9FA 2570
GDR/experiment_utils/general_utils.py sha256=2ZncfQ9EKxnbzocBIJK3ceTOfJL75azFlrGvCrZgdLY 654
GDR/experiment_utils/get_algorithm.py sha256=RKEZpl9AFWb-10suX_ZFEHJyPadGJ2C5xd3lvhXBcMw 3167
GDR/experiment_utils/get_data.py sha256=JRLkSBgUn7G2m1wD0LnxgWHy23UdYoMqfzBy786AwJQ 8718
GDR/experiment_utils/grad_analysis.py sha256=PqSoCGkzYFs6Ev2ouMQjya8stUgGoAiWrwB0IUYepjo 11214
GDR/nndescent/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
GDR/nndescent/setup.py sha256=xqHodhApOqzXvecYoPBJVZJRJ_V0ryui2w3ZwyoZxSM 1486
GDR/nndescent/py_files/__init__.py sha256=Dy5ohZ3He7m20cE5AbSjvX-8EIbCiJeYcXT_J1QW9D0 440
GDR/nndescent/py_files/distances.py sha256=QouoGtGsky7JcuulUHdedMD1wC_WX_VuBkXYafFBavo 735
GDR/nndescent/py_files/pynndescent_.py sha256=FPD14PgkqPYqBwPusAxnADnTVPpWiczChUIP4BmA6jQ 20453
GDR/nndescent/py_files/rp_trees.py sha256=hEdlpWg5JKJvLLVjO1RR7nxCfQY2XNRcq96GRpOnbVc 14581
GDR/nndescent/py_files/utils.py sha256=laFwvREeq2RIrp7xJj9y77BvC4irxp43YSKLlea50M8 18861
GDR/optimizer/GradientDR.py sha256=IR0bSdTazY8Z3J0Jze25jsxc5V-XIgdtRGCZgZV_tQA 17292
GDR/optimizer/__init__.py sha256=lHi1Z-1cTbk8iJ41Zd4b7R5Ey4ZKAVQUQquN1LwqUUc 292
GDR/optimizer/distances.py sha256=v7mvBugv_FJWQEv6TzbqjeWt-px4OCzIagRzT2NXbl8 1012
GDR/optimizer/graph_weights.py sha256=CzLlS_QTJBOxcUm60UhYrDXZsXGioUp8NYd11GfOad4 3490
GDR/optimizer/pytorch_optimize.py sha256=kybkU6A5cFTc8SSfj2pb_K9TkWz_vo-5SJWiB8-vbWQ 8786
GDR/optimizer/spectral.py sha256=dQDEKegAYMAVUE0M5t2q_6SrENKTvAjrHkpQfztNcVQ 9790
GDR/optimizer/utils.py sha256=HAzGTLmMhP23RhBnRBDFbErZco-3zefxOalkF5jJKeo 1441
GDR/optimizer/numba_optimizers/__init__.py sha256=qgOFqTnjkzQSh_jqpiVkzM5gpomD9Azkyt5INTGIfZQ 132
GDR/optimizer/numba_optimizers/gdr.py sha256=4zozU-Dy2XyCYXVM4-7K---jYvKp7d2r5-MsRB3jUWk 5027
GDR/optimizer/numba_optimizers/numba_utils.py sha256=L_lR55_JveNlzjUXvVXNouzatdFSslbCUBhsh-Uufdw 4682
GDR/optimizer/numba_optimizers/umap.py sha256=gpX2jOvYyVTib_lIx68x7vApQpyu31glZoOc2hI45MI 3832
GradientDR-0.1.3.4.dist-info/LICENSE sha256=7EI8xVBu6h_7_JlVw-yPhhOZlpY9hP8wal7kHtqKT_E 1074
GradientDR-0.1.3.4.dist-info/METADATA sha256=xrSPwMsIPsriyESqLGgzW1_4VK_pYOPGd_DKHrMqYeY 726
GradientDR-0.1.3.4.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
GradientDR-0.1.3.4.dist-info/top_level.txt sha256=SftvoXB8OtJ0UT7R-L9ELSK80Nm0zxhUn4E4wCGzi80 4
GradientDR-0.1.3.4.dist-info/RECORD — —

top_level.txt

GDR