seeplot
Four ML lab pipeline notebooks (spam classification, breast cancer ensembles, loan regression, K-Means).
pip install seeplot && seeplot
Pick with up/down and space, press enter (nothing selected = all 4). Notebooks are saved in the current folder.
Without the picker: seeplot init spam loan (keys: spam, cancer, loan, kmeans) or seeplot init --all.
Metadata
Release files for seeplot 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| seeplot-0.1.0.tar.gz | 986.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| seeplot-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.0 MB
Release files / seeplot-0.1.0.tar.gz
| Download URL | seeplot-0.1.0.tar.gz |
|---|---|
| Size | 986.0 kB |
| Tags | Source |
|
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/7.0.0 CPython/3.14.7
|
Release files / seeplot-0.1.0-py3-none-any.whl
| Download URL | seeplot-0.1.0-py3-none-any.whl |
|---|---|
| Size | 987.4 kB |
| Tags | 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/7.0.0 CPython/3.14.7
|