Classes | Functions
hrl_lib::prob Namespace Reference

Classes

class  Gaussian

Functions

def _weight
def cov
def cov_w
def fit
def fit

Function Documentation

def hrl_lib.prob._weight (   mat,
  weights 
) [private]
Deprecated: This is an inefficient implementation.
Returns the result of mat*eye(weights).

Definition at line 23 of file prob.py.

def hrl_lib.prob.cov (   m)
Returns an estimate of the covariance matrix associated with the data m.
m is a dxn matrix where d is the number of dimensions and n is the number of points

Definition at line 9 of file prob.py.

def hrl_lib.prob.cov_w (   mat,
  weights 
)
Returns a weighted covariance matrix.

Definition at line 34 of file prob.py.

def hrl_lib.prob.fit (   points)
Returns a Gaussian object fit to input points.

Definition at line 55 of file prob.py.

def hrl_lib.prob.fit (   points,
  weights 
)
Returns a Gaussian object fit to the weighted input points.

Definition at line 66 of file prob.py.



hrl_lib
Author(s): Cressel Anderson, Travis Deyle, Advait Jain, Hai Nguyen, Advisor: Prof. Charlie Kemp, Lab: Healthcare Robotics Lab at Georgia Tech
autogenerated on Wed Nov 27 2013 11:34:06