discrimintools.datasets.load_divay

discrimintools.datasets.load_divay(element='train')

Divay dataset

Note

12 wines coming from 3 diferent origins (4 wines per origin).

Parameters:

element (str, default = ‘train’) – The dataset to load. Possible values are:

• ‘train’ for training dataset.

• ‘test’ for testing dataset.

Returns:

divay – The divay dataset.

Return type:

DataFrame of shape (n_samples, n_columns)

References

[1] Hervé Abdi (2007). Discriminant correspondence analysis. In N.J. Salkind (Ed.): Encyclopedia of Measurement and Statistics. Thousand Oaks (CA): Sage. pp. 270-275.

[2] Ricco Rakotomalala (2012), Analyse des correspondances discriminante, Université Lumière Lyon 2.

[3] Ricco Rakotomalala (2020), Pratique de l’Analyse Discriminante Linéaire, Version 1.0, Université Lumière Lyon 2.

Examples

>>> from discrimintools.datasets import load_divay
>>> from discrimintools import DiCA
>>> D = load_divay() # load training data
>>> y, X = D["Region"], D.drop(columns=["Region"]) # split into X and y
>>> clf = DiCA()
>>> clf.fit(X,y)
DiCA()