| Metadata-Version: |
2.1 |
| Name: |
protes |
| Version: |
0.3.9 |
| Summary: |
Method PROTES (PRobabilistic Optimizer with TEnsor Sampling) for derivative-free optimization of the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format |
| Author: |
Andrei Chertkov |
| Author-Email: |
andre.chertkov[at]gmail.com |
| Home-Page: |
https://github.com/anabatsh/PROTES |
| Project-Url: |
Source, https://github.com/anabatsh/PROTES |
| Keywords: |
Derivative-free optimization gradient-free method multidimensional optimization low-rank representation tensor train format |
| Classifier: |
Development Status :: 4 - Beta |
| Classifier: |
License :: OSI Approved :: MIT License |
| Classifier: |
Topic :: Scientific/Engineering |
| Classifier: |
Topic :: Scientific/Engineering :: Mathematics |
| Classifier: |
Topic :: Scientific/Engineering :: Information Analysis |
| Classifier: |
Topic :: Scientific/Engineering :: Artificial Intelligence |
| Classifier: |
Intended Audience :: Science/Research |
| Classifier: |
Operating System :: OS Independent |
| Classifier: |
Programming Language :: Python :: 3 |
| Classifier: |
Programming Language :: Python :: 3 :: Only |
| Classifier: |
Programming Language :: Python :: 3.8 |
| Classifier: |
Programming Language :: Python :: 3.9 |
| Classifier: |
Programming Language :: Python :: 3.10 |
| Classifier: |
Programming Language :: Python :: 3.11 |
| Classifier: |
Programming Language :: Python :: 3.12 |
| Requires-Python: |
>=3.8 |
| Requires-Dist: |
seaborn (>=0.12.2) |
| Requires-Dist: |
contourpy (<=1.1.1); python_version == "3.8" |
| Requires-Dist: |
jax[cpu] (==0.4.13); python_version == "3.8" |
| Requires-Dist: |
matplotlib (<=3.7.2,>=3.7.0); python_version == "3.8" |
| Requires-Dist: |
ml-dtypes (<=0.2.0); python_version == "3.8" |
| Requires-Dist: |
numpy (<1.25,>=1.22); python_version == "3.8" |
| Requires-Dist: |
chex (<=0.1.7); python_version == "3.8" |
| Requires-Dist: |
optax (<=0.1.5,>=0.1.4); python_version == "3.8" |
| Requires-Dist: |
pandas (<=1.5.3,>=0.25); python_version == "3.8" |
| Requires-Dist: |
pillow (<=10.4.0); python_version == "3.8" |
| Requires-Dist: |
scipy (<1.11,>=1.9); python_version == "3.8" |
| Requires-Dist: |
etils (<=1.5.2); python_version == "3.9" |
| Requires-Dist: |
jax[cpu] (<=0.4.30,>=0.4.13); python_version == "3.9" |
| Requires-Dist: |
scipy (<=1.13.1,>=1.9); python_version == "3.9" |
| Requires-Dist: |
jax[cpu] (>=0.4.13); python_version > "3.9" |
| Requires-Dist: |
numpy (>=1.22); python_version > "3.9" |
| Requires-Dist: |
scipy (>=1.9); python_version > "3.9" |
| Requires-Dist: |
matplotlib (>=3.7.0); python_version >= "3.9" |
| Requires-Dist: |
numpy (<2.0.2,>=1.22); python_version >= "3.9" |
| Requires-Dist: |
optax (>=0.1.4); python_version >= "3.9" |
| Description-Content-Type: |
text/markdown |