Likelihood

operators.fvo.likelihood(client, input_file='in.laz', points_file='points.laz', output_file='out.laz', max_distance=0.5, missing_distance=1.5, missing_knn=2, instance_type='x2large')

Compute class conditional probability distribution

likelihood( client,

input_file=’in.laz’,

points_file=’points.laz’,

output_file=’out.laz’,

max_distance=0.5,

missing_distance=1.5,

missing_knn=2,

instance_type=’x2large’ )

Parameters:

• input_file – input LAZ file path

• points_file – input LAZ file path

• output_file – output LAZ file path

• max_distance – probability max distance

• missing_distance – interpolate missing points distance

• missing_knn – interpolate number missing neighbours

• instance_type – type of cloud instance used for processing