11.2.2.1. astroML.density_estimation.XDGMM¶
-
class
astroML.density_estimation.XDGMM(n_components, max_iter=100, tol=1e-05, verbose=False, random_state=None)[source]¶ Extreme Deconvolution
Fit an extreme deconvolution (XD) model to the data
- Parameters
- n_components: integer
number of gaussian components to fit to the data
- max_iter: integer (optional)
number of EM iterations to perform (default=100)
- tol: float (optional)
stopping criterion for EM iterations (default=1E-5)
Notes
This implementation follows Bovy et al. arXiv 0905.2979
Methods
fit(X, Xerr[, R])Fit the XD model to data
get_params([deep])Get parameters for this estimator.
logL(X, Xerr)Compute the log-likelihood of data given the model
logprob_a(X, Xerr)Evaluate the probability for a set of points
set_params(**params)Set the parameters of this estimator.
sample