Description:
dagging 0.2.2
Python package implementing the dagging method
Free software: 3-clause BSD license
Example
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=50,
voting='hard',
random_state=0)
# Train the model.
model.fit(X,y)
# Accuracy
print(model.score(X, y))
Dependencies
The dependency requirements are based on the last scikit-learn release:
scipy
numpy
scikit-learn
Installation
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
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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