thresher-py 0.1.0

Find threshold for fine-tuning output from predict_proba

Thresher - THRESHold EvaluatoR

Project description

How to setup?

The process is rather straightforward, you just need to just whether to install from the sources (latest revision), or from the PyPI repository (stable release).

Requirements

Tested with Python 3.7+, on a standard Unix environment

Installation

Installation from source:

pip install git+https://github.com/oskar-j/thresher.git

Stable release using the pip tool:

pip install thresher

Sample usage

import thresher

t = thresher.Thresher()

print('Currently supported algorithms:')
print(t.get_supported_algorithms())

cases = [0.1, 0.3, 0.4, 0.7]
actual_labels = [-1, -1, 1, 1]

print(f'Optimization result: {t.optimize_threshold(cases, actual_labels)}')

Future work

• adding more algorithms
• publishing on conda
• more heavy test loads