Transformer
DWTTransformer
Discrete Wavelet Transform Transformer.
Performs the Haar wavelet transformation on a time series.
Quickstart
python
from sktime.transformations.dwt import DWTTransformer
estimator = DWTTransformer(num_levels=3)Tags
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
Parameters(1)
- num_levelsint, number of levels to perform the Haar wavelet
- transformation.
Examples
>>> from sktime.transformations.dwt import DWTTransformer
>>> from sktime.datasets import load_airline
>>> from sktime.datatypes import convert
>>>
>>> y = load_airline ()
>>> transformer = DWTTransformer (num_levels = 3)
>>> y_transformed = transformer. fit_transform (y)