Generate a univariate dataset with normal noise and specified means.
Could be considered to be a generalization of pure_multivariate_signal where means=[ [0,1], [1,0] ].
Specify either means or nonbogus_features so means get assigned accordingly. If neither means nor nonbogus_features are provided, data will be pure noise and no per-label information.
Parameters : | perlabel : int, optional
nlabels : int, optional
nfeatures : int, optional
nchunks : int, optional
means : None or ndarray of (nlabels, nfeatures) shape
nonbogus_features : None or list of int
snr : float, optional
normalize : bool, optional
|
---|