outerproduct-sdk
Python SDK for training and explaining tabular ML models with the OuterProduct API.
Installation
pip install outerproduct
Or with uv:
uv add outerproduct
See docs.outerproduct.com for full instructions
1 maintainer
Release files for outerproduct 0.6.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| outerproduct-0.6.11.tar.gz | 108.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| outerproduct-0.6.11-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 260.0 kB
Release files / outerproduct-0.6.11.tar.gz
| Download URL | outerproduct-0.6.11.tar.gz |
|---|---|
| Size | 108.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.8.19
|
Release files / outerproduct-0.6.11-py3-none-any.whl
| Download URL | outerproduct-0.6.11-py3-none-any.whl |
|---|---|
| Size | 151.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
7ff19c42592568a9a09709a4d63f8cf606329e596ef38463e829080030844de7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.8.19
|
