Transformer
EvoForestTSWM
EvoForest Time-Series World-Model encoder (TS-WM).
A frozen, closed-form feature transform; see the module docstring. No learned weights; fit is empty. A peer of Catch22 / MiniRocket.
Quickstart
python
from sktime.transformations.evoforest_tswm import EvoForestTSWM
estimator = EvoForestTSWM(pooling='full')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
- Primitives
- 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)
- pooling{“full”, “pruned”}, default=”full”
- 423 features (“full”) or 245 (“pruned”).