watex.analysis.make_scedastic_data#
- watex.analysis.make_scedastic_data(n_samples=1000, n_features=50, rank=10, sigma=1.0, random_state=42)[source]#
Generate a sampling data for probabilistic PCA and Factor Analysis for model comparison.
- By default:
nsamples = 1000 n_features = 50 rank =10
- Returns:
* X (sampling data)
* X_homo (sampling data with homoscedastic noise)
* X_hetero (sampling with heteroscedastic noise)
* n_components (number of components 50 features.)