MLearner: Machine Learning for Data Engineer
MLearner is a Python library of useful tools for the day-to-day data science tasks.
Jaime Sendra Berenguer - Spain - 2018-2022
Links
- Documentation: https://jaisenbe58r.github.io/MLearner/
- PyPI: https://pypi.python.org/pypi/mlearner
- Changelog: https://jaisenbe58r.github.io/MLearner//CHANGELOG
- Contributing: https://jaisenbe58r.github.io/MLearner//CONTRIBUTING
- Questions? Check out the Discuss
Installing mlearner
PyPI
To install mlearner, just execute
pip install mlearner
Alternatively, you could download the package manually from the Python Package Index https://pypi.python.org/pypi/mlearner, unzip it, navigate into the package, and use the command:
python setup.py install
Conda
If you use conda, to install mlearner just execute
conda install -c conda-forge mlearner
Dev Version
The mlearner version on PyPI may always be one step behind; you can install the latest development version from the GitHub repository by executing
pip install git+git://github.com/jaisenbe58r/MLearner.git#egg=mlearner
Or, you can fork the GitHub repository from https://github.com/jaisenbe58r/MLearner and install mlearner from your local drive via
python setup.py install
License
Contact
1 maintainer
Metadata
1 maintainer
Release files for mlearner 0.2.8
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 |
|---|---|---|---|---|
| mlearner-0.2.8.tar.gz | 76.1 kB | Without provenance | Details for mlearner-0.2.8.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mlearner-0.2.8-py3-none-any.whl | Python 3 | none | any | Details for mlearner-0.2.8-py3-none-any.whl |
Total release size: 179.5 kB
Release files / mlearner-0.2.8.tar.gz
| Download URL | mlearner-0.2.8.tar.gz |
|---|---|
| Size | 76.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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Release files / mlearner-0.2.8-py3-none-any.whl
| Download URL | mlearner-0.2.8-py3-none-any.whl |
|---|---|
| Size | 103.5 kB |
| Tags | Python 3 |
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SHA-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/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.50.1 CPython/3.8.6
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Security for mlearner 0.2.8
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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