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FileName | ./usr/share/doc/python3-pyswarms/changelog.Debian.gz |
FileSize | 554 |
MD5 | 919379FEF1969EE0F12354CFF1EE8D97 |
SHA-1 | 2B3A1C257496030B50A14CF8BE0EB95EB275F3BE |
SHA-256 | 8127C221584BDC5D5A102B8806ADCC7E27AD41F4B6748ADF44CD3E7E18239D0C |
SSDEEP | 12:XkV6fldYk0tlY0pxKh1m06gxuMQWXsMj2G9Qh38RFTm:XcCldYkCFXKh7BoMQW8MaMQh38Rs |
TLSH | T10CF0C0A03ECC99B758ECA9703875B84E211B5CC50C1F3C4C5D8E551902DD31118A977A |
hashlookup:parent-total | 4 |
hashlookup:trust | 70 |
The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
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FileSize | 5736592 |
MD5 | 7B8DE1B1EE41501A74620697E856B9AA |
PackageDescription | documentation and examples for PySwarms PySwarms is an extensible research toolkit for particle swarm optimization (PSO) in Python. . It is intended for swarm intelligence researchers, practitioners, and students who prefer a high-level declarative interface for implementing PSO in their problems. PySwarms enables basic optimization with PSO and interaction with swarm optimizations. . Features: * High-level module for Particle Swarm Optimization * Built-in objective functions to test optimization algorithms * Plotting environment for cost histories and particle movement * Hyperparameter search tools to optimize swarm behaviour . This package contains the documentation and examples for PySwarms. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-pyswarms-doc |
PackageSection | doc |
PackageVersion | 1.3.0-1 |
SHA-1 | 7A2BBD890876AF9606F38B7F02162E47B0996CC8 |
SHA-256 | 7D45D0D32A71D5AB9DE25CD50001E2FD75C9D669C43077D9E70174892BAEB7D6 |
Key | Value |
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FileSize | 47472 |
MD5 | 6C0BDC6C5580D38FB377E427BFFDFDAF |
PackageDescription | research toolkit for particle swarm optimization in Python PySwarms is an extensible research toolkit for particle swarm optimization (PSO) in Python. . It is intended for swarm intelligence researchers, practitioners, and students who prefer a high-level declarative interface for implementing PSO in their problems. PySwarms enables basic optimization with PSO and interaction with swarm optimizations. . Features: * High-level module for Particle Swarm Optimization * Built-in objective functions to test optimization algorithms * Plotting environment for cost histories and particle movement * Hyperparameter search tools to optimize swarm behaviour . This package contains the Python 3.x version of PySwarms. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-pyswarms |
PackageSection | python |
PackageVersion | 1.3.0-1 |
SHA-1 | 23FBE1EE060AB24DDF3A61DE204D87E94EEE8A9B |
SHA-256 | 341659FCB683171A320E5D8077106D143CFD5A5E3A5EBBCB070ECDC18546465B |
Key | Value |
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FileSize | 51260 |
MD5 | 903E143DC4050BC456774D469822C40B |
PackageDescription | research toolkit for particle swarm optimization in Python PySwarms is an extensible research toolkit for particle swarm optimization (PSO) in Python. . It is intended for swarm intelligence researchers, practitioners, and students who prefer a high-level declarative interface for implementing PSO in their problems. PySwarms enables basic optimization with PSO and interaction with swarm optimizations. . Features: * High-level module for Particle Swarm Optimization * Built-in objective functions to test optimization algorithms * Plotting environment for cost histories and particle movement * Hyperparameter search tools to optimize swarm behaviour . This package contains the Python 3.x version of PySwarms. |
PackageMaintainer | Debian Science Team <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-pyswarms |
PackageSection | python |
PackageVersion | 1.3.0-1 |
SHA-1 | 91A9FA23446E24F21E5338D4BFEAC0E953DF8A11 |
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Key | Value |
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FileSize | 5741124 |
MD5 | 70209BE65478F420843B82F16D926A7F |
PackageDescription | documentation and examples for PySwarms PySwarms is an extensible research toolkit for particle swarm optimization (PSO) in Python. . It is intended for swarm intelligence researchers, practitioners, and students who prefer a high-level declarative interface for implementing PSO in their problems. PySwarms enables basic optimization with PSO and interaction with swarm optimizations. . Features: * High-level module for Particle Swarm Optimization * Built-in objective functions to test optimization algorithms * Plotting environment for cost histories and particle movement * Hyperparameter search tools to optimize swarm behaviour . This package contains the documentation and examples for PySwarms. |
PackageMaintainer | Debian Science Team <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python-pyswarms-doc |
PackageSection | doc |
PackageVersion | 1.3.0-1 |
SHA-1 | B2C5F48F61A2E872A679EF216FFAD20EB7D52140 |
SHA-256 | A3169281865229D54039CD1318A0EBF514915D4F56C64C6F13293D10BC579EF5 |