Orange data mining library for python.
Project description
Orange is a scriptable environment for fast prototyping of new algorithms and testing schemes. It is a collection of Python-based modules that sit over the core library and implement some functionality for which execution time is not crucial and which is easier done in Python than in C++. This includes a variety of tasks such as pretty-print of decision trees, attribute subset, bagging and boosting, and alike.
Orange also includes a set of graphical widgets that use methods from core library and Orange modules. Through visual programming, widgets can be assembled together into an application by a visual programming tool called Orange Canvas.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file Orange-2.0.0b.tar.gz.
File metadata
- Download URL: Orange-2.0.0b.tar.gz
- Upload date:
- Size: 12.8 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a275d81209f8f039e16ef2f29aa43881ae8ee22478bd8b25352572fa79ed5f8a |
|
| MD5 | 04d628288122020c00bb9f90ea979c3a |
|
| BLAKE2b-256 | 894c4fa79ee6f7c665cd6d2aad7144a39e2ba44ba699211f1fc13b2d0eb83381 |
