Transformer
RepeatBootstrapTransformer
Repetition bootstrap, repeats given time series identically, n_series times.
Useful as a baseline method, or for random reinitialization of a model.
Quickstart
python
from sktime.transformations.bootstrap import RepeatBootstrapTransformer
estimator = RepeatBootstrapTransformer(n_series=10)Tags
Capabilities
- Multivariate
- Missing values
- Unequal-length series
- Inverse transform: Not supported
- Removes missing values: Not supported
- Equalizes series length: Not supported
Properties
- Input typescitype:transform-input
- Series
- Output typescitype:transform-output
- Panel
- Label typescitype:transform-labels
- None
- Fit is emptyfit_is_empty
- Yes
- Keeps the time indextransform-returns-same-time-index
- Yes
- Requires Xrequires_X
- Yes
- Requires yrequires_y
- No
- X and y need the same indexX-y-must-have-same-index
- No
Parameters(1)
- n_seriesint, optional
- The number of repeats that will be generated, by default 10.