JapaneseVowels

class JapaneseVowels(return_mtype='pd-multiindex')[source]

JapaneseVowels time series classification problem.

Example of a multivariate problem with unequal-length series.

Notes

Dimensionality: multivariate, 12 variables Series length: 7-29 (variable length) Train cases: 270 Test cases: 370 Number of classes: 9

A UCI Archive dataset. Nine Japanese male speakers were recorded saying the vowels ‘a’ and ‘e’. A 12-degree linear prediction analysis is applied to the raw recordings to obtain time series with 12 dimensions and varying lengths between 7 and 29. The classification task is to predict the speaker. Each instance is a transformed utterance with a single class label attached (labels 1 to 9).

Reference: M. Kudo, J. Toyama, and M. Shimbo. (1999). “Multidimensional Curve Classification Using Passing-Through Regions”. Pattern Recognition Letters, Vol. 20, No. 11-13, pages 1103-1111.

Dataset details: http://timeseriesclassification.com/description.php?Dataset=JapaneseVowels

Examples

>>> from sktime.datasets.classification import JapaneseVowels
>>> X, y = JapaneseVowels().load("X", "y")

Methods

`cache_files_directory`()	Get the directory where cache files are stored.
`cleanup_cache_files`()	Cleanup cache files from the cache directory.
`clone`()	Obtain a clone of the object with same hyper-parameters and config.
`clone_tags`(estimator[, tag_names])	Clone tags from another object as dynamic override.
`create_test_instance`([parameter_set])	Construct an instance of the class, using first test parameter set.
`create_test_instances_and_names`([parameter_set])	Create list of all test instances and a list of names for them.
`get_class_tag`(tag_name[, tag_value_default])	Get class tag value from class, with tag level inheritance from parents.
`get_class_tags`()	Get class tags from class, with tag level inheritance from parent classes.
`get_config`()	Get config flags for self.
`get_param_defaults`()	Get object's parameter defaults.
`get_param_names`([sort])	Get object's parameter names.
`get_params`([deep])	Get a dict of parameters values for this object.
`get_tag`(tag_name[, tag_value_default, ...])	Get tag value from instance, with tag level inheritance and overrides.
`get_tags`()	Get tags from instance, with tag level inheritance and overrides.
`get_test_params`([parameter_set])	Return testing parameter settings for the skbase object.
`is_composite`()	Check if the object is composed of other BaseObjects.
`keys`()	Return a list of available sets.
`load`(*args)	Load the dataset.
`load_from_path`(serial)	Load object from file location.
`load_from_serial`(serial)	Load object from serialized memory container.
`loader_func`([return_X_y, return_type])	Load the JapaneseVowels time series classification problem.
`reset`()	Reset the object to a clean post-init state.
`save`([path, serialization_format])	Save serialized self to bytes-like object or to (.zip) file.
`set_config`(**config_dict)	Set config flags to given values.
`set_params`(**params)	Set the parameters of this object.
`set_random_state`([random_state, deep, ...])	Set random_state pseudo-random seed parameters for self.
`set_tags`(**tag_dict)	Set instance level tag overrides to given values.

get_loader_func