No project description provided
Project description
Ocean
Easy ML workflows built on scikit-learn
Ocean is a package for machine learning workflows that makes it easier to create models. It is made using several tools from scikit-learn, to speed up the machine learning process.
Feature
This package will continue to be developed to add more features, but for now there is only one feature, namely automl.
- automl
Dependency
numpy==1.25.1
scikit-learn==1.3.0
scipy==1.11.1
tabulate==0.9.0
xgboost==1.7.6
How to Install
You can install ocean with pip using this command:
pip install ocean-ml
Example
AutoML
from ocean.automl import AutoMLRegressor
model = AutoMLRegressor(X, y, categoric, tune_params=True)
model.fit()
Github Link
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
ocean-ml-1.0.1.tar.gz
(8.2 kB
view details)
Built Distribution
File details
Details for the file ocean-ml-1.0.1.tar.gz.
File metadata
- Download URL: ocean-ml-1.0.1.tar.gz
- Upload date:
- Size: 8.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | fea8c788b9359849d01940744519d6fdee17da51929dcaea6c438ec74f6a42f2 |
|
| MD5 | 3742643e12f9773005ce37dec76779e1 |
|
| BLAKE2b-256 | ff990538917d85a832a3b9f53e479c032294db6bdd1bc3daed6e25a6174a4521 |
File details
Details for the file ocean_ml-1.0.1-py3-none-any.whl.
File metadata
- Download URL: ocean_ml-1.0.1-py3-none-any.whl
- Upload date:
- Size: 8.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 61c3f4f55a4f47448c3568824b7ed32f4c14676b5771bd688db12bc7be035dfa |
|
| MD5 | e900c36cd830c2cc21e7c0a757a10119 |
|
| BLAKE2b-256 | dba2edc1340e0349140ac1284777dd15293992a9c736257b19d225270aee820a |
