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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
pip install protes
PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<=1.1.1 when python_version == "3.8"<=1.5.2 when python_version == "3.9"==0.4.13 when python_version == "3.8"<=0.4.30,>=0.4.13 when python_version == "3.9"<0.5.0,>=0.4.13 when python_version > "3.9"<=3.7.2,>=3.7.0 when python_version == "3.8">=3.7.0 when python_version >= "3.9"<=0.2.0 when python_version == "3.8"<1.25,>=1.22 when python_version == "3.8"<2.0.2,>=1.22 when python_version >= "3.9">=1.22 when python_version > "3.9"<=0.1.7 when python_version == "3.8"<=0.1.5,>=0.1.4 when python_version == "3.8">=0.1.4 when python_version >= "3.9"<=1.5.3,>=0.25 when python_version == "3.8"<=10.4.0 when python_version == "3.8"<1.11,>=1.9 when python_version == "3.8"<=1.13.1,>=1.9 when python_version == "3.9">=1.9 when python_version > "3.9">=0.12.2protes publishes 1 wheel and 1 source archive for version 0.3.12. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.
PyPI lists 21 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .