11.2.2.2. astroML.density_estimation.KNeighborsDensity¶
-
class
astroML.density_estimation.KNeighborsDensity(method='bayesian', n_neighbors=10)[source]¶ K-neighbors density estimation
- Parameters
- methodstring
method to use. Must be one of [‘simple’|’bayesian’] (see below)
- n_neighborsint
number of neighbors to use
See also
KDEkernel 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 K-neighbors density estimator
get_params([deep])Get parameters for this estimator.
set_params(**params)Set the parameters of this estimator.