Python library with helpers to speed up and structure machine learning projects.
MIT License
Helpers to speed up and structure machine learning projects.
The library is available in Pypi
The easiest way to install ml-helper is through pip
pip install ml-helper
To use it in your project, you must first import the library
from ml_helper.helper import Helper
And then create a Helper object with a dictionary of keys related to your project
KEYS = {
'SEED': 1,
'TARGET': 'y',
'METRIC': 'r2',
'TIMESERIES': True,
'SPLITS': 5
}
hp = Helper(KEYS)
After this, you may use the helper object's many functions
ML-Helper requires:
The functionality is separated into 4 groups:
If you wish to see the library in use, you may view the notebooks in the examples section.
Also, you can see the implementation in their corresponding Kaggle Kernels:
Ml-Helper complies to PEP8 and uses black
for coding standards
SemVer is used for versioning.
This project is licensed under the MIT License - see the License file for details