pandaslearn
pandaslearn is a small wrapper on top of scikit-learn to automate common modeling tasks.
- Create
Trainerinstance withDatasetandModelinstances,__init__()inTrainerinstance should populateDatasetandModelinstance'sloggerattributes. Methods onDatasetandModelshould be called after that, so that everything gets logged appropriately.
TODO
- TODO: visualization: add barcharts (plotnine)
- TODO: visualization: add histograms (plotnine)
- TODO: visualization: add scatterplots (plotnine)
- TODO: visualization: add lineplots (plotnine)
- TODO: visualization: add boxplots (plotnine)
- TODO: visualization: add violin plots (plotnine)
- TODO: visualization: add function to change theme (xkcd, ?)
- TODO: add a
geonamespace (+ feature engineering, plots) - TODO: add tests against a few standard fixtures (precompute values and test against them)
- TODO: integrate missingno package: functions to only compute/sort nullity
- TODO: integrate missingno package: plotnine functions matching missingno plot(including geo)
- TODO: integrate missingno package: timeseries nullity plots (just plot all timelines with gaps)
- TODO: pandas-profiling has a lot of useful analysis useful for ml. Integrate those (provide textual outcomes like dicts or dfs instead of plot)
- TODO: future integration targets: https://compose.alteryx.com/en/stable/
- TODO: future integration targets: https://featuretools.alteryx.com/en/stable/
- TODO: future integration targets: https://evalml.alteryx.com/en/stable/
1 maintainer
Metadata
1 maintainer
Release files for pandaslearn 0.1.9
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 |
|---|---|---|---|---|
| pandaslearn-0.1.9.tar.gz | 17.5 kB | Without provenance | Details for pandaslearn-0.1.9.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pandaslearn-0.1.9-py3-none-any.whl | Python 3 | none | any | Details for pandaslearn-0.1.9-py3-none-any.whl |
Total release size: 39.2 kB
Release files / pandaslearn-0.1.9.tar.gz
| Download URL | pandaslearn-0.1.9.tar.gz |
|---|---|
| Size | 17.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
5d8d5de68462a5e3b294dce453197363d37be42a02e0ba2baaae8f1220e4eac0
|
|
BLAKE2b-256 checksum How to use checksums |
10f7945edd21f702d58d09bb985fc0f0ec46055ced0984225d4a28c3d32b64d1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.8 CPython/3.9.6 Darwin/21.1.0
|
Release files / pandaslearn-0.1.9-py3-none-any.whl
| Download URL | pandaslearn-0.1.9-py3-none-any.whl |
|---|---|
| Size | 21.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
70de1b3da3ca24771690a016fd25137e5801a025ac4b2f8ed7a0b3362279f47c
|
|
BLAKE2b-256 checksum How to use checksums |
62a5e36736bdfa3171e57b532b6536c82a24266fb4d238c2d6d63a6449ec8534
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.8 CPython/3.9.6 Darwin/21.1.0
|
Security for pandaslearn 0.1.9
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
