ExponentialFitter

Class for fitting an exponential distribution to a point cloud

An exponential distribution in N dimensions is fully determined by an N-dimensional vector, representing the N-dimensional decay parameter (or lambda parameter) of the distribution.

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[class] ExponentialFitter

comments:

class for fitting an exponential distribution to a point cloud  
parameters  
- l: multidimensional lambda parameter of exponential  

⤷ __init__

full signature:

def __init__(self)  

comments:

empty constructor  
input arguments:  
- points: a np array of shape (npoints,ndims)  

⤷ fit

full signature:

def fit(self, points)  

comments:

fit to a set of points  
input arguments:  
- points: a np array of shape (npoints,ndims)  

⤷ pdf

full signature:

def pdf(self, points)  

comments:

get pdf at points  

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