load_japanese_vowels

load_japanese_vowels(split=None)

Load the JapaneseVowels time series classification problem.

Example of a multivariate problem with unequal length series.

Parameters:

split: None or one of “TRAIN”, “TEST”, default=None

Whether to load the train or test instances of the problem. By default it loads both train and test instances into a single array.

Returns:

X: list of 2D np.ndarray, one for each series.

y: 1D numpy array of length len(X). The class labels for each time series instance

in X.

Notes

Dimensionality: 12 Series length: variable (7-29) Train cases: 270 Test cases: 370 Number of classes: 9 Details: https://timeseriesclassification.com/description.php?Dataset=JapaneseVowels

Examples

>>> from aeon.datasets import load_japanese_vowels
>>> X, y = load_japanese_vowels()