meta-features
Repository for extracting features for meta-learning.
Meta features are essential components in the field of meta-learning. These features serve as valuable indicators or descriptors that capture important characteristics of the underlying data. By extracting and analyzing these meta features, researchers and practitioners can gain insights into the data distribution, complexity, and other relevant properties. Meta features play a crucial role in tasks such as algorithm selection, hyperparameter optimization, and dataset characterization. They enable the development of effective meta-learning algorithms and contribute to the advancement of this exciting field.
Note: The project is under development. It will be release for public use soon.
1 maintainer
Metadata
1 maintainer
Release files for meta-features 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| meta_features-0.0.1.tar.gz | 3.0 kB | Without provenance | Details for meta_features-0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| meta_features-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for meta_features-0.0.1-py3-none-any.whl |
Total release size: 6.0 kB
Release files / meta_features-0.0.1.tar.gz
| Download URL | meta_features-0.0.1.tar.gz |
|---|---|
| Size | 3.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
611883b7cb18554f5cace3f319670c7bbc3326b9ad27ac7847b665e16005b8d1
|
|
BLAKE2b-256 checksum How to use checksums |
b1ad2efee76f486b665f0793aede30ac9f1eeb7bba8dc0e0084931678a370dc3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.8.18
|
Release files / meta_features-0.0.1-py3-none-any.whl
| Download URL | meta_features-0.0.1-py3-none-any.whl |
|---|---|
| Size | 3.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
849121fa3a476faf95cdd21d11be7b8916dda7b560adc11592d1ab7ebdb47d8f
|
|
BLAKE2b-256 checksum How to use checksums |
a774990019bc64c512b53f6ffc11cb9899d15b23487f62dfb7aa4a32e94b144f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.8.18
|
Security for meta-features 0.0.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
