Memento is a python package with the aim of providing the necessary tools for:
- Grouping variables (both numerical and categorical) in an automatic and interactive way.
- Development of customizable scorecards adaptable to the requirements of each user.
You can install Memento using pip
pip install memento-scorecard
Check out the official documentation: https://guilliu.github.io (needs update)
# Import the modules
import numpy as np, pandas as pd, memento as me
# Load the data
from sklearn.datasets import load_breast_cancer as lbc
X, y = pd.DataFrame(lbc().data, columns=lbc().feature_names), lbc().target
# Get the auto-scorecard
model = me.Scorecard().fit(X, y)
# Display the scorecard
me.pretty_scorecard(model)In the folder /examples there are notebooks that explore different use cases in detail.
The code tries to be as minimalist as possible. The maximum characters per line is set to 100, since the 80 characters of the PEP 8 standard are considered worse for readability. For all other questions, it is recommended to follow the PEP 8 standards, with a slight preference for the use of single quotes.