tslearn.shapelets.grabocka_params_to_shapelet_size_dict¶
- tslearn.shapelets.grabocka_params_to_shapelet_size_dict(n_ts, ts_sz, n_classes, l, r)[source]¶
Compute number and length of shapelets.
This function uses the heuristic from [1].
- Parameters:
- n_ts: int
Number of time series in the dataset
- ts_sz: int
Length of time series in the dataset
- n_classes: int
Number of classes in the dataset
- l: float
Fraction of the length of time series to be used for base shapelet length
- r: int
Number of different shapelet lengths to use
- Returns:
- dict
Dictionary giving, for each shapelet length, the number of such shapelets to be generated
References
[1]Grabocka et al. Learning Time-Series Shapelets. SIGKDD 2014.
Examples
>>> d = grabocka_params_to_shapelet_size_dict( ... n_ts=100, ts_sz=100, n_classes=3, l=0.1, r=2) >>> keys = sorted(d.keys()) >>> print(keys) [10, 20] >>> print([d[k] for k in keys]) [4, 4]
