a49c1a33600437a2b1b0cbba79597bee2177bda3,gpflow/models/gplvm.py,GPLVM,__init__,#GPLVM#Any#Any#Any#Any#Any#,35

Before Change

                     mean_function=mean_function,
                     **kwargs)
        del self.X  // in GPLVM this is a Param
        self.X = Parameter(X_mean)


class BayesianGPLVM(GPModel):
    def __init__(self,

After Change

        data = (x_data_mean, data)
        super().__init__(self, data, kernel, mean_function=mean_function, **kwargs)
        x_parameter = Parameter(x_data_mean)
        self.data = (x_parameter, data)


class BayesianGPLVM(GPModel):
    def __init__(self, data, x_data_mean, x_data_var, kernel, M, Z=None, X_prior_mean=None, X_prior_var=None):

Instances