Library containing the core algorithms for machine learning on source code. Provides API and tools to train and use models based on source code features extracted from Babelfish's UASTs.
Project description
MLonCode Core Library
This library is the foundation for MLonCode research and development. It contains commonly used algorithms and tools to process the code-related data, such as Babelfish's UASTs, plain code text and other.
Contributions
...are welcome! See CONTRIBUTING.md and CODE_OF_CONDUCT.md.
License
Glossary
See here.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file sourced_ml_core-0.0.6-py3-none-any.whl.
File metadata
- Download URL: sourced_ml_core-0.0.6-py3-none-any.whl
- Upload date:
- Size: 67.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
29742c12cd7766335ddd445777f56f58d620981c81febcc890f71dd86c9e9d73
|
|
| MD5 |
13d3210acb85b9f563cd89051b6e4c4b
|
|
| BLAKE2b-256 |
5c5081c8147091c778739044ae980872da80bf7f6ecc9728fb66aea44c59fa6d
|