make_sparse_coded_signal(n_samples, n_components, n_features, n_nonzero_coefs, random_state=None)¶
Generate a signal as a sparse combination of dictionary elements.
Returns a matrix Y = DX, such as D is (n_features, n_components), X is (n_components, n_samples) and each column of X has exactly n_nonzero_coefs non-zero elements.
Read more in the User Guide.
n_samples : int
number of samples to generate
n_components: int, :
number of components in the dictionary
n_features : int
number of features of the dataset to generate
n_nonzero_coefs : int
number of active (non-zero) coefficients in each sample
random_state : int or RandomState instance, optional (default=None)
seed used by the pseudo random number generator
data : array of shape [n_features, n_samples]
The encoded signal (Y).
dictionary : array of shape [n_features, n_components]
The dictionary with normalized components (D).
code : array of shape [n_components, n_samples]
The sparse code such that each column of this matrix has exactly n_nonzero_coefs non-zero items (X).