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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”).