SUPERML
Just enter your dataset and grab a cup of coffee while our system generates the best model for you!
How to Install
pip install Super-ML
To contribute towards
-
Fork this Repository.
-
Clone your Fork on a different branch:
git clone -b <name-of-branch> https://github.com/mihir2510/SuperML.git -
After adding any feature:
- Goto your fork and create a pull request.
- We will test your modifications and merge changes.
Metadata
Release files for Super-ML 0.0.3
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 | |
|---|---|---|---|---|
| Super_ML-0.0.3.tar.gz | 5.2 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Super_ML-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.5 MB
Release files / Super_ML-0.0.3.tar.gz
| Download URL | Super_ML-0.0.3.tar.gz |
|---|---|
| Size | 5.2 MB |
| 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/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8
|
Release files / Super_ML-0.0.3-py3-none-any.whl
| Download URL | Super_ML-0.0.3-py3-none-any.whl |
|---|---|
| Size | 5.3 MB |
| 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8
|
Security for Super-ML 0.0.3
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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