Supergreen, the data scientist's secret sauce, analyzes production prediction problems caused by those sly tabular-trained machine learning models.
Project description
The author of this package has not provided a project description
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
supergreen-0.0.1.tar.gz
(749 Bytes
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file supergreen-0.0.1.tar.gz.
File metadata
- Download URL: supergreen-0.0.1.tar.gz
- Upload date:
- Size: 749 Bytes
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.5.1 CPython/3.10.8 Darwin/22.1.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9e489894f95c0a45d5e843be9d420f08b7b86a6b178a0c9ee110b420a139fb31
|
|
| MD5 |
b07eaa70a211e40778ece419a4295513
|
|
| BLAKE2b-256 |
3edc611e9696891ad961a35bfbd5dc0219deb53e21d196a1ca515e6f2973be47
|
File details
Details for the file supergreen-0.0.1-py3-none-any.whl.
File metadata
- Download URL: supergreen-0.0.1-py3-none-any.whl
- Upload date:
- Size: 1.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.5.1 CPython/3.10.8 Darwin/22.1.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9a87aa9787e81bf4ce1a85080fe479c0da59fb29f418aef1abfe357edc69c8b6
|
|
| MD5 |
fc0d33604782abf6f15cd2866a34679d
|
|
| BLAKE2b-256 |
52345868a168ab728752ece6c007537e559eef54b69913d3c5c1a5164c300fa6
|