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",

After Change


        weight of component distributions (default = 1)
    
    def __init__(self, means=0, sigmas=1, weights=1):
        components = len(means)
        self._gmm = GaussianMixture(components, covariance_type="spherical")

        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):
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 7

Instances


Project Name: astroML/astroML
Commit Name: 4e70cb5fc9a9494e866ccd7d2e1a9046091b6337
Time: 2018-11-16
Author: bsipocz@gmail.com
File Name: astroML/density_estimation/gauss_mixture.py
Class Name: GaussianMixture1D
Method Name: __init__


Project Name: stratosphereips/StratosphereLinuxIPS
Commit Name: bc388862e12e27c1494078aa2409f1875ebba693
Time: 2020-06-06
Author: eldraco@gmail.com
File Name: modules/lstm-cc-detection-1/lstm-cc-detection-1.py
Class Name: Module
Method Name: convert_input_for_module


Project Name: IndicoDataSolutions/finetune
Commit Name: 0df2cf25a625d05b7590efdbbe335498b93d694d
Time: 2019-01-17
Author: madison@indico.io
File Name: finetune/target_encoders.py
Class Name: OrdinalRegressionEncoder
Method Name: fit