SimPEG.utils.WeightedGaussianMixture.fit_predict#
- WeightedGaussianMixture.fit_predict(X, y=None)[source]#
Estimate model parameters using X and predict the labels for X.
The method fits the model n_init times and sets the parameters with which the model has the largest likelihood or lower bound. Within each trial, the method iterates between E-step and M-step for max_iter times until the change of likelihood or lower bound is less than tol, otherwise, a
ConvergenceWarningis raised. After fitting, it predicts the most probable label for the input data points.New in version 0.20.
- Parameters:
- Xarray_like
ofshape(n_samples,n_features) List of n_features-dimensional data points. Each row corresponds to a single data point.
- y
Ignored Not used, present for API consistency by convention.
- Xarray_like
- Returns:
- labels
array,shape(n_samples,) Component labels.
- labels