Skip to main content

Finding optimal threshold based on ROC CURVE.

Project description

Installation

pip install threshold-finder

Usage

Folowing display an usage example.

>>> from threshold_finder.finder import OptimalThresholdFinder, ThresholdFinder, YoudenThresholdFinder
>>> # Example data
>>> true_label = pd.Series([1,1,1,0,0,0])
>>> predicted_proba = pd.Series([0.9, 0.8, 0.7, 0.72, 0.6, 0.5])

>>> # Use a specific finder directly ...
>>> finder = YoudenThresholdFinder()
>>> optimal_threshold = finder.optimal_threshold(true_label, predicted_proba)
>>> print(optimal_threshold)
0.7

>>> # ... Or use the factory
>>> factory = ThresholdFinder()
>>> finder = factory.get_finder(method="youden_statistic")
>>> optimal_threshold = finder.optimal_threshold(true_label, predicted_proba)
>>> print(optimal_threshold)
0.7

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

threshold-finder-0.1.2.tar.gz (1.9 kB view details)

Uploaded Source

Built Distribution

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

threshold_finder-0.1.2-py3-none-any.whl (2.2 kB view details)

Uploaded Python 3

File details

Details for the file threshold-finder-0.1.2.tar.gz.

File metadata

  • Download URL: threshold-finder-0.1.2.tar.gz
  • Upload date:
  • Size: 1.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.13 Linux/4.15.0-20-generic

File hashes

Hashes for threshold-finder-0.1.2.tar.gz
Algorithm Hash digest
SHA256 2a22f5c43c180b968281fdf5221d4dde5cf99e7d9c95cae0702d8e799d3d2e15
MD5 2103ffc7aae7836b36ffca24ecd6d30d
BLAKE2b-256 ba8631249d650489400eff04fdb04be7b6cdc76d90c6e82b00e552df788b7e98

See more details on using hashes here.

File details

Details for the file threshold_finder-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: threshold_finder-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 2.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.13 Linux/4.15.0-20-generic

File hashes

Hashes for threshold_finder-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 e22c4e51dc98bb8e6be0088b3fe1dd1d10395a49c682cf9a6d5bd7175009d862
MD5 59ddfdcf00de94fade1e98d15aa65fc1
BLAKE2b-256 d739c98a88585fdfaa3580c3e409fc16e96c25585aabd598e21ed66d89dbad3e

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