11.2.2.2. astroML.density_estimation.KNeighborsDensity¶

class
astroML.density_estimation.
KNeighborsDensity
(method='bayesian', n_neighbors=10)[source]¶ Kneighbors density estimation
 Parameters
 methodstring
method to use. Must be one of [‘simple’’bayesian’] (see below)
 n_neighborsint
number of neighbors to use
See also
KDE
kernel density estimation
Notes
The two methods are as follows:
 simple:
The density at a point x is estimated by n(x) ~ k / r_k^n
 bayesian:
The density at a point x is estimated by n(x) ~ sum_{i=1}^k[1 / r_i^n].
Methods
eval
(X)Evaluate the kernel density estimation
fit
(X)Train the Kneighbors density estimator