pyDIMM 0.2.0

A Python Dirichlet-multinomial Mixture Model

pyDIMM

A Python Dirichlet Multinomial Mixture Model.

Quick Start

You can install pyDIMM by pip.

pip install pyDIMM

pyDIMM needs certain version of scikit-learn package to work. We recommend you to have scikit-learn==1.1.3, which has been tested to work normally.

After that, you can import pyDIMM and use it to fit a Dirichlet Multinomial Mixture model.

import numpy as np
import pyDIMM

X = np.random.randint(1,100,size=[200,100])

dimm = pyDIMM.DirichletMultinomialMixture(
    n_components=3,
    tol=1e-3,
    max_iter=100,
    verbose=2,
    pytorch=0
).fit(X)

print('Alphas:', dimm.alphas)
print('Weights:', dimm.weights)

label = dimm.predict(X)
print('Prediction label:', label)

Contact

Ziqi Rong ([e-mail])