qspec.analyze.generate_collinear_points_py  (  mean ,  cov ,  n_samples = 100000 ,  report = False ,  ** kwargs  )[source]

Parameters:

meanndarray

The data vectors. Must have shape (k, n), where k is the number of data points and n is the number of dimensions of each point.

covndarray

The covariance matrices of the data vectors. Must have shape (k, n, n). Use 'covariance_matrix' to construct covariance matrices.

n_samplesint

The number of samples generated for each data point.

reportbool

Whether to report the number of samples.

kwargsNone

Additional keyword arguments.

Returns:

outNone

The randomly generated data vectors p with shape (n_accepted, k ,n) aligned along a straight line and the number of accepted and generated samples.