| __init__(self, cluster_data, ngaus) | teetool.gaussianprocess.GaussianProcess | |
| _cluster_data | teetool.gaussianprocess.GaussianProcess | private |
| _E_beta(self, yc, Hc, Ewc, Ewwc, ndim, Mstar) | teetool.gaussianprocess.GaussianProcess | private |
| _E_mu(self, Ewc) | teetool.gaussianprocess.GaussianProcess | private |
| _E_sigma(self, mu_w, yc, Hc, Ewc, Ewwc) | teetool.gaussianprocess.GaussianProcess | private |
| _Ewc_Ewwc(self, yc, Hc, mu_w, sig_w_inv, BETA_EM) | teetool.gaussianprocess.GaussianProcess | private |
| _Ewn_Ewnwn(self, yn, Hn, mu_w, sig_w_inv, BETA_EM) | teetool.gaussianprocess.GaussianProcess | private |
| _from_clusterdata2cells(self, cluster_data, basis) | teetool.gaussianprocess.GaussianProcess | private |
| _getGMMCells(self, mu_y, sig_y, ngaus) | teetool.gaussianprocess.GaussianProcess | private |
| _getMuSigma(self, mu_y, sig_y, npoint, ngaus) | teetool.gaussianprocess.GaussianProcess | private |
| _L_pw(self, Ewc, Ewwc, mu_w, sig_w, sig_w_inv, ndim, nbasis) | teetool.gaussianprocess.GaussianProcess | private |
| _L_pYw(self, yc, Hc, Ewc, Ewwc, ndim, Mstar, BETA_EM) | teetool.gaussianprocess.GaussianProcess | private |
| _ndim | teetool.gaussianprocess.GaussianProcess | private |
| _ngaus | teetool.gaussianprocess.GaussianProcess | private |
| _norm2real(self, mu_y, sig_y) | teetool.gaussianprocess.GaussianProcess | private |
| _outline | teetool.gaussianprocess.GaussianProcess | private |
| _outline2vectors(self) | teetool.gaussianprocess.GaussianProcess | private |
| model_by_em(self, type_basis, nbasis, maximum_iterations=2001) | teetool.gaussianprocess.GaussianProcess | |
| model_by_ml(self, type_basis, nbasis) | teetool.gaussianprocess.GaussianProcess | |
| model_by_resampling(self) | teetool.gaussianprocess.GaussianProcess | |
