Regression.fit api
Last updated: 2022-06-01
This package (rfit - regression.fit) is for use at The George Washington University Data Science program. There are some useful and convenient functions we use in our python classes.
One of them is dfapi, which connects to the api.regression.fit endpoint, to load dataframes used in our classes.
Metadata
Release files for rfit 0.1.20220601
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rfit-0.1.20220601.tar.gz | 6.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rfit-0.1.20220601-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.6 kB
Release files / rfit-0.1.20220601.tar.gz
| Download URL | rfit-0.1.20220601.tar.gz |
|---|---|
| Size | 6.3 kB |
| Tags | Source |
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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/4.0.0 CPython/3.8.8
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Release files / rfit-0.1.20220601-py3-none-any.whl
| Download URL | rfit-0.1.20220601-py3-none-any.whl |
|---|---|
| Size | 7.3 kB |
| Tags | Python 3 |
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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/4.0.0 CPython/3.8.8
|