crossense 0.0.1

some helpers to train or inference scikit-learn models

Crossense

Crossense is a collection of utilities designed to facilitate working with scikit-learn models, including training, Inferencing and benchmarking.

Features

(to be written)

Installation

You can install Crossense using pip:

pip install crossense

Usage

from crossense.bagging import CrossBaggingClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.datasets import load_iris
from sklearn.model_selection import StratifiedKFold

ds = load_iris()
clf = CrossBaggingClassifier(LogisticRegression(), cv=StratifiedKFold(5))
clf.fit(ds.data, ds.target)

For more detailed usage and examples, please refer to the documentation (coming soon).

Contributing

If you'd like to contribute to Crossense, please follow the contribution guidelines (comming soon).

License

This project is licensed under the MIT License - see the LICENSE file for details.