A collection of handy ML and data validation tools
Project description
Octopus-ML
Set of handy ML and data tools - starting from data exploration, visualization, pre-processing, hyper parameter tuning, modeling and all the way to final ML model evaluation
Check out the octopus-ml demo notebook on Colab
Installation
The module can be easily installed with pip:
> pip install octopus-ml
This module depends on Scikit-learn
, NumPy
, Pandas
, TQDM
, lightGBM
as defualt classifier. Optionally you can get also some nice visualisations if you have Seaborn
installed.
Usage
The module contains ML and Data related methods:
from octopus_ml import plot_imp, adjusted_classes, cv, cv_plot, roc_curve_plot, ...
Selected visualizations:
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
octopus-ml-3.2.0.tar.gz
(11.3 kB
view hashes)
Built Distribution
octopus_ml-3.2.0-py3-none-any.whl
(11.4 kB
view hashes)
Close
Hashes for octopus_ml-3.2.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9cdfec4c9ea45f314d3dbfead7689e76b8b653436382850d1ee6ad8126fd914e |
|
MD5 | b210084a27c968707eb3f416a094c624 |
|
BLAKE2b-256 | 20dacb53e6473e684e5c5ba57b502259ec9439e48062090269e33b289d2b28a0 |