PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most ...

This library provides a geometric algebra tools targeted towards robotics applications. It includes various computations for the kinematics and dynamics of serial manipulators as well as optimal ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

The matrices are primarily in a 2 × 2 format with six response options, focusing on lower levels of difficulty to enhance accessibility. Additionally, the CPM includes “puzzle” items in which a piece ...