Installation Guide

Installing Classification Report

Classification Report library runs on python 3.6 and greater.

pip install classification-report

Things that are good to know

classification-report library is written in pure python and depends on a few key python packages

  1. Pytorch, An open source machine learning framework that accelerates the path from research prototyping to production deployment.
  2. Tensorboard,TensorBoard provides the visualization and tooling needed for machine learning experimentation.
  3. Numpy, NumPy is the fundamental package for scientific computing with Python.
  4. Seaborn, Seaborn is a Python data visualization library based on matplotlib.
  5. Matplotlib, Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
  6. scikit-learn, Machine Learning in Python

Installing from Source

git clone https://github.com/aman5319/Classification-Report
cd Classification-Report

pip install -e .

Developing Classification Report

For developing classification report you can install the library with all development dependencies but first clone the repo.

git clone https://github.com/aman5319/Classification-Report
cd Classification-Report

pip install -e ".[dev]"