Skip to main content

Handle a regression problem inducing the model on pairs A,B of instances

Project description

test codecov pypi Python version license: GPL v3

API documentation Downloads PyPI - Downloads

pairwiseprediction

Latest Release | Current Code | API Documentation


Handle a regression problem inducing the model on pairs A,B of instances.

Last column of X is the continuous target. y is ignored.

Four modes are hipotetically possible, although only mode 2 is provided by now to ease compatibility with sklearn:

  • a classification algorithm is trained to tell when instance A has higher target than instance B
      1. the prediction is based on interpolation which is the type of result expected from a regression
      1. the interpolated value can be converted to a hard prediction through binarization
  • a regression algorithm is trained to predict the difference between target values of A,B
      1. the prediction is the value provided directly by the regressor
      1. the regression value can be converted to a hard prediction through binarization

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

pairwiseprediction-0.240306.5.tar.gz (5.9 kB view details)

Uploaded Source

Built Distribution

pairwiseprediction-0.240306.5-py3-none-any.whl (6.9 kB view details)

Uploaded Python 3

File details

Details for the file pairwiseprediction-0.240306.5.tar.gz.

File metadata

  • Download URL: pairwiseprediction-0.240306.5.tar.gz
  • Upload date:
  • Size: 5.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.10.6 Linux/5.15.0-94-generic

File hashes

Hashes for pairwiseprediction-0.240306.5.tar.gz
Algorithm Hash digest
SHA256 661a0b916d17431767205434ead0661d8e06494afc39f052e9aa4a80a58f3e6b
MD5 a2ae94614e586617ef9b783033bf9a93
BLAKE2b-256 651c3febb468cda5d4335827ad0bbd6eab2c5b8be916dfd96f1a1d2e7e0eccd2

See more details on using hashes here.

File details

Details for the file pairwiseprediction-0.240306.5-py3-none-any.whl.

File metadata

File hashes

Hashes for pairwiseprediction-0.240306.5-py3-none-any.whl
Algorithm Hash digest
SHA256 c4551357266978cfbddba33962341234f3440b87eb24495d900214633eaaf904
MD5 de84c49bfa8b254748938c0ca542f1f2
BLAKE2b-256 f5ba5d40921e2dea35d133b38a7cebe70b690c848bf9452ef996633818b703d0

See more details on using hashes here.

Supported by

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