zaaw_algo_ml
A small teaching-oriented metapackage that installs a standard data-science / ML stack together with:
- Optuna
- PPS score (
ppscore) - LazyPredict
It is intended for student virtual environments.
Install
python -m pip install --upgrade pip
python -m pip install .
Or build a wheel first:
python -m pip install build
python -m build
python -m pip install dist/zaaw_algo_ml-0.1.0-py3-none-any.whl
What it includes
- numpy
- pandas
- matplotlib
- seaborn
- scipy
- scikit-learn
- statsmodels
- joblib
- optuna
- ppscore
- lazypredict
Notes
- This package does not include Jupyter magics like
%matplotlib inline. - This package does not include your local module
functions.eda_automations; that would need to be packaged separately. - Version ranges are intentionally conservative to reduce the chance of sudden breaking upgrades.
Quick test
from zaaw_algo_ml import smoke_test, print_versions
print_versions()
smoke_test()
1 maintainer
Metadata
1 maintainer
Release files for zaaw-algo-ml 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| zaaw_algo_ml-0.3.0.tar.gz | 5.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| zaaw_algo_ml-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.4 kB
Release files / zaaw_algo_ml-0.3.0.tar.gz
| Download URL | zaaw_algo_ml-0.3.0.tar.gz |
|---|---|
| Size | 5.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / zaaw_algo_ml-0.3.0-py3-none-any.whl
| Download URL | zaaw_algo_ml-0.3.0-py3-none-any.whl |
|---|---|
| Size | 6.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.11.9
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