gemclus.data.draw_gmm¶
- gemclus.data.draw_gmm(n, loc, scale, pvals, random_state=None) Tuple[ndarray, ndarray][source]¶
Returns \(n\) samples drawn from a mixture of Gaussian distributions. The number of components is determined by the number of elements in the lists of the parameters.
- Parameters:
- n: int
The number of samples to draw from the GMM.
- loc: list of K ndarray of shape (d,)
A list containing the means of all components of the Gaussian mixture distributions.
- scale: list of K ndarray of shape (d,d)
A list containing the covariances of all components of the Gaussian mixture distribution.
- pvals: ndarray of shape (K,)
The proportions of each component of the Gaussian mixture.
- random_state: int, RandomState instance or None, default=None
Determines random number generation for dataset creation. Pass an int for reproducible output across multiple runs.
- Returns:
- X: ndarray of shape (n, d)
The array containing the samples drawn from the mixture model. d is the
- y: ndarray of shape (n,)
The component from which each sample originates.
Examples using gemclus.data.draw_gmm¶
Extending GemClus to build your own discriminative clustering model
Extending GemClus to build your own discriminative clustering model