Crossense is a collection of utilities designed to facilitate working with scikit-learn models, including training, Inferencing and benchmarking.
(to be written)
You can install Crossense using pip:
pip install crossensefrom crossense.ensemble 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.
If you'd like to contribute to Crossense, please follow the contribution guidelines (comming soon).
This project is licensed under the MIT License - see the LICENSE file for details.