A library for memory efficient parallelized Ensemble learning
- Documentation available at:
Contact
For questions and comments reach out to sebastianflennerhag@hotmail.com.
This project is hosted at https://github.com/flennerhag/mlens
Metadata
Release files for mlens 0.2.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlens-0.2.3.tar.gz | 179.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlens-0.2.3-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 406.9 kB
Release files / mlens-0.2.3.tar.gz
| Download URL | mlens-0.2.3.tar.gz |
|---|---|
| Size | 179.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.7.0
|
Release files / mlens-0.2.3-py2.py3-none-any.whl
| Download URL | mlens-0.2.3-py2.py3-none-any.whl |
|---|---|
| Size | 227.7 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.7.0
|