Skip to main content

A Python package for fitting maximum entropy models to BOLD time-series data. The toolkit automatically binarizes fMRI/BOLD signals, constructs pairwise maximum entropy (MaxEnt) models, and provides utilities to analyze the inferred interaction network. Most functionality is not implemented yet.

Project description

maxentsolver

A Python package for fitting maximum entropy models to BOLD time-series data. The toolkit automatically binarizes fMRI/BOLD signals, constructs pairwise maximum entropy (MaxEnt) models, and provides utilities to analyze the inferred interaction network.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

maxentsolver-0.2.3.tar.gz (11.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

maxentsolver-0.2.3-py3-none-any.whl (15.8 kB view details)

Uploaded Python 3

File details

Details for the file maxentsolver-0.2.3.tar.gz.

File metadata

  • Download URL: maxentsolver-0.2.3.tar.gz
  • Upload date:
  • Size: 11.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.11.10 Linux/6.14.0-36-generic

File hashes

Hashes for maxentsolver-0.2.3.tar.gz
Algorithm Hash digest
SHA256 9f759b24a927827272f7b0ba8691d8137d623307f861144e435a404e323e8e7c
MD5 d06ad83f48db7e6c2b7478046f181ab8
BLAKE2b-256 f2e072ea3ce984b1807a888abc4ffb14764622e98a26ec1086e47af82c9fae89

See more details on using hashes here.

File details

Details for the file maxentsolver-0.2.3-py3-none-any.whl.

File metadata

  • Download URL: maxentsolver-0.2.3-py3-none-any.whl
  • Upload date:
  • Size: 15.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.11.10 Linux/6.14.0-36-generic

File hashes

Hashes for maxentsolver-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 50dc307256a875c7146bd42ba6980b66f64d19023b7733850a9036bd57bab47c
MD5 b980103b0d806bf74c075beefba9649f
BLAKE2b-256 a69972d2e12ff757e5278387f64c9f0f16a1e2868b7fe4bf9c186ddab8070788

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page