Precision Python Packages

prdc

Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.

rexmex

A general purpose recommender metrics library for fair evaluation.

binary-classification-ratios

Binary classification ratios gathered in one package.

num7

num7 - SUPREME PRECISION GENERAL PURPOSE ARITHMETIC-LOGIC DECIMAL LIBRARY PACKAGE

tourchpip

A TourchPIP DIY is a Deep Learning Framework that simulates real-world frameworks such as that's able to handle datasets, split data, train, and test models.

mlscorecheck

Testing the consistency of binary classification performance scores reported in papers

setprecision

Python module providing an easy way to set the precision of a floating-point number to the desired amount of decimal places, or total amount of significant digits.

moneyx

A precise library for handling money in Python, with support for multiple currencies, rounding strategies, and allocation methods. Implements Martin Fowler's Money Pattern with 100% test coverage.

pyfloat

Python Library for doings sums, subs, multiplications and divisions without losing precission

mobius-number

Complementary residue arithmetic — 0.1 + 0.2 = 0.3, exactly.

precision-recall-gain

Precision-recall-gain metrics for Python with a sklearn API.

daze

Better multi-class confusion matrix plots for Scikit-Learn, incorporating per-class and overall evaluation measures.