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benhamner avatar

benhamner/Metrics

0
View on GitHub↗
1,650 stars·452 forks·Python·13 views

Metrics

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

Features

  • Model Evaluation - Provides standard evaluation metrics for machine learning models.

Star history

Star history chart for benhamner/metricsStar history chart for benhamner/metrics

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does benhamner/metrics do?

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

What are the main features of benhamner/metrics?

The main features of benhamner/metrics are: Model Evaluation.

What are some open-source alternatives to benhamner/metrics?

Open-source alternatives to benhamner/metrics include: sjwhitworth/golearn — GoLearn is a machine learning library for the Go programming language. It provides a supervised learning framework and… nvidia/isaac-gr00t. ageron/handson-ml — This is a machine learning educational repository consisting of a collection of notebooks and code examples. It… alibaba-damo-academy/medevalkit — MedEvalKit: A Unified Medical Evaluation Framework. edublancas/sklearn-evaluation — Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook… confident-ai/deepeval — Deepeval is a framework for testing and evaluating large language model applications. It provides a suite of tools for…