Transformer
ReverseAugmenter
Augmenter reversing the time series.
If transform is given a time series \(X={x_1, x_2,..., x_n}\), then returns \(X_t={x_n, x_{n-1},..., x_2, x_1}\). Time series augmentation by reversing has been discussed e.g. in [1].
Quickstart
python
from sktime.transformations.augmenter import ReverseAugmenter
estimator = ReverseAugmenterTags
Capabilities
- Multivariate
- Unequal-length series
- Inverse transform: Not supported
- Missing values: Not supported
- Removes missing values: Not supported
- Equalizes series length: Not supported
Properties
- Input typescitype:transform-input
- Series
- Output typescitype:transform-output
- Series
- Label typescitype:transform-labels
- None
- Fit is emptyfit_is_empty
- Yes
- Keeps the time indextransform-returns-same-time-index
- No
- Requires Xrequires_X
- Yes
- Requires yrequires_y
- No
- X and y need the same indexX-y-must-have-same-index
- No
Examples
>>> import pandas as pd
>>> from sktime.transformations.augmenter import ReverseAugmenter
>>> X = pd. Series ([1, 2, 3, 4, 5 ])
>>> augmenter = ReverseAugmenter ()
>>> Xt = augmenter. fit_transform (X)
>>> Xt 0 5 1 4 2 3 3 2 4 1 dtype: int64 References and Footnotes ¶ [1]: IWANA, Brian Kenji; UCHIDA, Seiichi. An empirical survey of data augmentation for time series classification with neural networks. Plos one, 2021, 16. Jg., Nr. 7, S. e0254841.