ml-lab-prep
Four bare-bones ML lab pipeline notebooks (classification x2, regression, K-Means) with saved outputs.
pip install ml-lab-prep
ml-lab-prep # interactive: up/down, space to select, enter to download
Non-interactive:
ml-lab-prep list
ml-lab-prep init spam loan # only these two
ml-lab-prep init --all -d lab # everything into ./lab
Keys: spam, cancer, loan, kmeans. Each download includes the dataset it needs, plus a short README.
cd ml_lab && jupyter notebook
Metadata
Release files for ml-lab-prep 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ml_lab_prep-0.2.0.tar.gz | 1.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ml_lab_prep-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.2 MB
Release files / ml_lab_prep-0.2.0.tar.gz
| Download URL | ml_lab_prep-0.2.0.tar.gz |
|---|---|
| Size | 1.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.14.7
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Release files / ml_lab_prep-0.2.0-py3-none-any.whl
| Download URL | ml_lab_prep-0.2.0-py3-none-any.whl |
|---|---|
| Size | 1.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
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