discrimintools.datasets.load_oliveoil

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

Olive oil dataset

Parameters:

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

• ‘train’ for training dataset.

• ‘test’ for testing dataset.

Returns:

oil – The olive oil dataset.

Return type:

DataFrame of shape (n_samples, n_columns)

References

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

Examples

>>> from discrimintools.datasets import load_oliveoil
>>> from discrimintools import CANDISC
>>> D = load_oliveoil("train") # load training data
>>> y, X = D["CLASSE"], D.drop(columns=["CLASSE"]) # split into X and y
>>> clf = CANDISC(n_components=2)
>>> clf.fit(X,y)
CANDISC()