11. Dataset loading utilities¶
The UEA & UCR Time Series Classification Repository hosts a lot of datasets for time series classification. A few datasets are available in the pyts repository itself, and functions to download the other datasets are made available.
11.1. Simulated datasets¶
The make_cylinder_bell_funnel() function makes a synthetic dataset
of univariate time series with three classes: cylinder, bell and funnel.
This dataset was introduced by N. Saito in his PhD thesis
“Local feature extraction and its application using a library of bases”.
The time series are generated from the following distributions:
![c(t) = (6 + \eta) \cdot 1_{[a, b]}(t) + \epsilon(t)
b(t) = (6 + \eta) \cdot 1_{[a, b]}(t) \cdot (t - a) / (b - a) +
\epsilon(t)
f(t) = (6 + \eta) \cdot 1_{[a, b]}(t) \cdot (b - t) / (b - a) +
\epsilon(t)](../_images/math/dc12c413eb05ba1059ecba4843bf630fb0e2623f.svg)
where:
,
is an integer-valued uniform random variable on the interval ![[16, 32]](../_images/math/921f0a542badabab6ac564662875c93aca570bda.svg)
,
is an integer-valued uniform distribution on the interval ![[32, 96]](../_images/math/98a9e4e28729d846baeffe35e3748be38b5d4116.svg)
,
and 
are standard normal variables,![{1}_{[a, b]}](../_images/math/7aee94fb5663a162d70977787a30c970e532fb22.svg)
is the characteristic function on the interval ![[a, b]](../_images/math/81020ad941964580fece7ab05b36d0c51847489d.svg)
.
, 
, and 
stand for “cylinder”, “bell”, and “funnel” respectively.
11.2. Univariate time series: UCR repository¶
pyts comes with a copy of three univariate time series datasets:
load_coffee(): load the Coffee dataset,load_gunpoint(): load the GunPoint dataset,load_pig_central_venous_pressure(): load the Pig Central Venous Pressure dataset.
The characteristics of these datasets are summarized in the following table:
| Type | Name | Train | Test | Class | Length |
|---|---|---|---|---|---|
| SPECTRO | Coffee | 100 | 100 | 2 | 96 |
| MOTION | GunPoint | 50 | 150 | 2 | 150 |
| HEMODYNAMICS | PigCVP | 104 | 208 | 52 | 2000 |
Three functions are made available to fetch other datasets from this repository:
ucr_dataset_list(): return the list of available datasets,ucr_dataset_info(): return a dictionary with the characteristics of each dataset,fetch_ucr_dataset(): fetch a dataset given its name.
11.3. Multivariate time series: UEA repository¶
pyts comes with a copy of one multivariate time series dataset:
load_basic_motions(): load the Basic Motions dataset.
Three functions are made available to fetch other datasets from this repository:
uea_dataset_list(): return the list of available datasets,uea_dataset_info(): return a dictionary with the characteristics of each dataset,fetch_uea_dataset(): fetch a dataset given its name.
