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benchmarx

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0.1.0 benchmarx-0.1.0-py3-none-any.whl

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Project: benchmarx
Version: 0.1.0
Filename: benchmarx-0.1.0-py3-none-any.whl
Download: [link]
Size: 28616
MD5: 843a45ce8430618d5e6b3e26c9a7369f
SHA256: eb0c5e9b7f3d8a6a87193f7a4d10275023c71435623b41cd931d693d30227940
Uploaded: 2023-08-11 11:53:16 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: benchmarx
Version: 0.1.0
Summary: Tools for benchmarking optimization methods
Author: AlexToW
Author-Email: Salex <31salex31[at]gmail.com>
Home-Page: https://github.com/AlexToW/benchmarx
Project-Url: Homepage, https://github.com/AlexToW/benchmarx
Project-Url: Bug Tracker, https://github.com/AlexToW/benchmarx/issues
License: MIT
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Requires-Dist: hatchling
Requires-Dist: jax
Requires-Dist: jaxopt (>=0.6)
Requires-Dist: typing-extensions (>=4.5.0)
Requires-Dist: wandb (>=0.14.2)
Requires-Dist: pandas (==1.5.3)
Requires-Dist: plotly (>=5.14.1)
Requires-Dist: flax (>=0.6.10)
Requires-Dist: tensorflow-datasets
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2150 characters]

WHEEL

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

RECORD

Path Digest Size
benchmarx/__init__.py sha256=wrnxGD5be6fvLC3oaGRHLiJEi-Ip95MY6gLrGxvoSco 1202
benchmarx/src/NeuralNetworkTraining.py sha256=c46UhHwkogRAlr64GfQV2gPCZ_GN1rapuceNKdjLCUE 11189
benchmarx/src/ProxGD_custom_linesearch.py sha256=ppVBl70iNZPYlNufPAdlO981nq3xM0Xs78yJlF-3NeE 1543
benchmarx/src/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
benchmarx/src/benchmark.py sha256=DhFnwlCd0noFzb4qonMVHCjrol924IZ4jLQSqj9qVVA 25311
benchmarx/src/benchmark_result.py sha256=zqeEK32XiMceHzYZ2r-MF4vzi6jp2ysxeqqMs957AlQ 5633
benchmarx/src/custom_optimizer.py sha256=i2sQMlDPPj-7Kl1jSO2B5shjNfWw-hdAf1j9wO58Hks 1333
benchmarx/src/defaults.py sha256=smM90CVIhEtJYL43hKnaZ9NvH9ag7AEmAEMTdMkhJdw 542
benchmarx/src/log_loss.py sha256=HQI_PWxBcTq44CDbwMGODHF0FXLM71j6ihYmKG_plM8 2073
benchmarx/src/log_loss_l2_reg.py sha256=Hnmnk29A9krggGjytgeNKdOuU02L_wfRAk2UBTdJRRE 2259
benchmarx/src/methods.py sha256=aUHWjMUVQP0oX2ib-h3BlgnjLUUE-tgnhGuIJAiZv24 495
benchmarx/src/metrics.py sha256=sMtbVDHln-30FyuI1CC_9WHaUf_65EmtjoPP-8FFKx0 2308
benchmarx/src/plotter.py sha256=66Uz2n4onGuGSEmEqFp26vOKD1XWHdlrfu1sLr0wo3M 36848
benchmarx/src/problem.py sha256=zKPzjgh3Wp7Z_q-wfjePELq6khwhBKcT2Xwt3Ok1-pA 779
benchmarx/src/qadratic_problem_real_data.py sha256=OnZrwv5-0i2nFlw1qjmlGSf3DYcjeULdBcGnlFnHrtQ 1402
benchmarx/src/quadratic_problem.py sha256=byDQ2fHxmFsd-4U7gumydFXFrVWGC0yuGLMlb4TRfag 2654
benchmarx/src/rastrigin.py sha256=4TQXNTsDEip3WYrjDODscWOM5fSM7TzcTKUIcN5o1yY 831
benchmarx/src/rosenbrock.py sha256=8iZ_nWBvmz8qVGka3Svgy7AQdBksk7zlLGZQNBuAVq4 810
benchmarx-0.1.0.dist-info/LICENSE sha256=7EI8xVBu6h_7_JlVw-yPhhOZlpY9hP8wal7kHtqKT_E 1074
benchmarx-0.1.0.dist-info/METADATA sha256=P8ibwK2wXfIe9k88c2-wn1o2riZ8TAy_j3K7GqncfgI 3019
benchmarx-0.1.0.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
benchmarx-0.1.0.dist-info/top_level.txt sha256=MfrTyVCft_w_XEedN18FSN-e0vbVeZ5GAh8WEU2_tiE 10
benchmarx-0.1.0.dist-info/RECORD — —

top_level.txt

benchmarx