# packages

pkgId: 0019c04cf190e9294884cefe5513e38b0e938f9ce483adbe2a354e247d3fa6bb
name: R-arules
arch: src
version: 1.6.7
epoch: 0
release: 2.el8
summary: Mining Association Rules and Frequent Itemsets
url: https://cran.r-project.org/web/packages/arules/index.html
rpm_license: GPLv3
rpm_vendor: Fedora Copr - user iztokf
rpm_group: Unspecified
rpm_buildhost: ip-172-30-3-72.ec2.internal
location_href: 02146849-R-arules/R-arules-1.6.7-2.el8.src.rpm
checksum_type: sha256
description:
  Provides the infrastructure for representing, manipulating and analyzing
  transaction data and patterns (frequent itemsets and association rules).
  Also provides C implementations of the association mining algorithms
  Apriori and Eclat. Hahsler, Gruen and Hornik (2005)
  <doi:10.18637/jss.v014.i15>.


pkgId: 3ea8d40f8e786e12d30542929ea3999d48f7e72dfbd4839cba98715989d463d4
name: python-maya
arch: src
version: 0.6.1
epoch: 0
release: 1.el8
summary: Datetimes for Humans
url: https://github.com/timofurrer/maya
rpm_license: MIT
rpm_vendor: Fedora Copr - user iztokf
rpm_group: Unspecified
rpm_buildhost: ip-172-30-3-137.ec2.internal
location_href: 02130979-python-maya/python-maya-0.6.1-1.el8.src.rpm
checksum_type: sha256
description:
  Datetimes are very frustrating to work with in Python, especially when dealing
  with different locales on different systems. This library exists to make the
  simple things much easier, while admitting that time is an
  illusion (timezones doubly so).


pkgId: 85e15cad5be6f63421167dcf14630452fc5dbf5f41bb7d6697215de2e40746ee
name: python-nashpy
arch: src
version: 0.0.21
epoch: 0
release: 1.el8
summary: A library to compute equilibria of 2 player normal form games
url: https://github.com/drvinceknight/Nashpy
rpm_license: MIT
rpm_vendor: Fedora Copr - user iztokf
rpm_group: Unspecified
rpm_buildhost: ip-172-30-3-184.ec2.internal
location_href: 02139110-python-nashpy/python-nashpy-0.0.21-1.el8.src.rpm
checksum_type: sha256
description:
  This library implements the following algorithms for Nash equilibria
  on 2 player games: Support enumeration, Best response polytope vertex
  enumeration, Lemke Howson algorithm.


pkgId: 22c332a2d8b91b29dc5d33b55c2ec9552505e0810655c4bfc4f700d6183c22d9
name: python-niaclass
arch: src
version: 0.1.0
epoch: 0
release: 1.el8
summary: Python framework for building classifiers using nature-inspired algorithms
url: https://github.com/lukapecnik/NiaClass
rpm_license: None
rpm_vendor: Fedora Copr - user iztokf
rpm_group: Unspecified
rpm_buildhost: ip-172-30-2-81.ec2.internal
location_href: 02132327-python-niaclass/python-niaclass-0.1.0-1.el8.src.rpm
checksum_type: sha256
description:
  NiaClass is a framework for solving classification tasks using nature-inspired
  algorithms. The framework is written fully in Python. Its goal is to find the
  best possible set of classification rules for the input data using the NiaPy
  framework < which is a popular Python collection of nature-inspired algorithms.
  The NiaClass classifier support numerical and categorical features.License
  This...


pkgId: 1c5bcf28cfbc93d562bb03018ee1209743059ed6933f594693e4bc9e87effbb4
name: python-niapy
arch: src
version: 2.0.0
epoch: 0
release: 0.4rc13.el8
summary: Micro framework for building nature-inspired algorithms
url: https://pypi.org/pypi/niapy
rpm_license: MIT
rpm_vendor: Fedora Copr - user iztokf
rpm_group: Unspecified
rpm_buildhost: ip-172-30-1-225.ec2.internal
location_href: 02130963-python-niapy/python-niapy-2.0.0-0.4rc13.el8.src.rpm
checksum_type: sha256
description:
  Nature-inspired algorithms are a very popular tool for solving optimization
  problems. Numerous variants of nature-inspired algorithms have been developed
  since the beginning of their era. To prove their versatility, those were tested
  in various domains on various applications, especially when they are
  hybridized, modified or adapted. However, implementation of nature-inspired
  algorithms is sometimes a difficult, complex and tedious task. In order to
  break this wall, NiaPy is intended for simple and quick use, without spending
  time for implementing algorithms from scratch.


pkgId: 6c0459300f13d6eb07e1685acbffa777f69f2dffeefbbabe759c40bace1d7fc9
name: python-pyswarms
arch: src
version: 1.3.0
epoch: 0
release: 1.el8
summary: A Python-based Particle Swarm Optimization (PSO) library
url: https://github.com/ljvmiranda921/pyswarms
rpm_license: MIT
rpm_vendor: Fedora Copr - user iztokf
rpm_group: Unspecified
rpm_buildhost: ip-172-30-2-71.ec2.internal
location_href: 02146850-python-pyswarms/python-pyswarms-1.3.0-1.el8.src.rpm
checksum_type: sha256
description:
  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.


pkgId: 7dd45653048faf7853d7501e585af0215784d594237200a648ffd7f6aafdf80c
name: python-tcxreader
arch: src
version: 0.3.6
epoch: 0
release: 1.el8
summary: tcxreader is a parser/reader for Garmin's TCX file format
url: https://github.com/alenrajsp/tcxreader
rpm_license: MIT
rpm_vendor: Fedora Copr - user iztokf
rpm_group: Unspecified
rpm_buildhost: ip-172-30-1-225.ec2.internal
location_href: 02130956-python-tcxreader/python-tcxreader-0.3.6-1.el8.src.rpm
checksum_type: sha256
description:
  This is a simple TCX parser / reader which can read Garmin TCX file
  extension files. The package currently does not support laps and merges the
  whole exercise into one exercise object. The following data is currently
  parsed: longitude, latitude, elevation, time, distance, hr_value, cadence,
  watts, TPX_speed (extension).


