[scikit-learn] PyCM: Multiclass confusion matrix library in Python

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 classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices,

Re: [scikit-learn] PyCM: Multiclass confusion matrix library in Python

s for the binary case where we add an activation threshold? Thanks again for releasing this and providing pip packaging. - Stuart On Thu, May 31, 2018 at 6:05 AM, Sepand Haghighi via scikit-learn wrote: > PyCM is a multi-class confusion matrix library written in Python that > supports both

[scikit-learn] PyCM 1.6 released: New machine learning library for confusion matrix statistical analysis

Hi folks Recently we have released new version of PyCM, library for confusion matrix statistical analysis. I thought you might find it interesting. 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 pos

[scikit-learn] PyCM 2.2 released : A general benchmark based comparison of classification models

Hi folks Recently we have released new version of PyCM, library for confusion matrix statistical analysis. I thought you might find it interesting. http://www.pycm.ir https://github.com/sepandhaghighi/pycm Changelog : - Negative likelihood ratio interpretation (NLRI) added -

[scikit-learn] Introducing PyMilo: A New Way to Transport Pre-trained ML Models

Dear all, We are thrilled to introduce PyMilo, an open-source Python package that can revolutionize the way you transport pre-trained machine-learning models. PyMilo offers an efficient, secure, and transparent method that aims to eliminate the risks associated with binary or pickle formats. Why