4e70cb5fc9a9494e866ccd7d2e1a9046091b6337,astroML/density_estimation/gauss_mixture.py,GaussianMixture1D,__init__,#GaussianMixture1D#Any#Any#Any#,18

Before Change

        weight of component distributions (default = 1)
    
    def __init__(self, means=0, sigmas=1, weights=1):
        data = np.array([t for t in np.broadcast(means, sigmas, weights)])

        precisions = [1/s**2 for s in sigmas]
        self._gmm = GaussianMixture(data.shape[0],
                                    weights_init=data[:, 2] / data[:, 2].sum(),
                                    means_init=data[:, :1],
                                    covariance_type="spherical",
                                    precisions_init=precisions)
        self._gmm.fit(data[:, :1])  // GaussianMixture requires "fit" be called once

After Change

        self._gmm.weights_ = weights / weights.sum()
        self._gmm.means_ = means.reshape(-1, 1)
        self._gmm.covariances_ = sigmas ** 2

        self._gmm.precisions_cholesky_ = 1 / np.sqrt(self._gmm.covariances_)

        self._gmm.fit = None  // disable fit method for safety

    def sample(self, size):

Instances