The sklearn.mixture.GaussianMixture.fit function fits a Gaussian Mixture Model (GMM) to the given input data. This function estimates the parameters of the GMM using an expectation-maximization algorithm. It takes the input data as input and effectively learns the optimal parameters for the distribution of each component in the GMM. The fitted GMM can then be used to make predictions or generate samples from the learned distribution.
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