Python package implementing the dagging method
- Free software: 3-clause BSD license
from dagging import DaggingClassifier
from sklearn.datasets import load_iris
# Load Iris from from scikit-learn.
X, y = load_iris(True)
model = DaggingClassifier(n_estimators=10, random_state=0)
# Train the model.
model.fit(X,y)
# Accuracy
print(model.score(X, y))The dependency requirements are based on the last scikit-learn release:
- scipy
- numpy
- scikit-learn
dagging is currently available on the PyPi's repository and you can install it via pip:
pip install -U dagging
If you prefer, you can clone it and run the setup.py file. Use the following commands to get a copy from GitHub and install all dependencies:
git clone https://github.com/chkoar/dagging.git cd dagging pip install .
Or install using pip and GitHub:
pip install -U git+https://github.com/chkoar/dagging.git