Comments (1)
PAUL-BERNARD
commented on July 20, 2024
Hello š
All ReservoirPy models take one (a 2D numpy array) or multiple (a list of 2D numpy arrays or a 3D numpy array) timeseries.
If you want your model to predict a single value (or vector) for each timeseries, you mainly have 2 solutions:
- you can convert your output to a timeseries consisting of your feature vector repeated T times, fit your model with this timeseries, and then convert your output timeseries back to a single vector through a method of your choice
- run your reservoir on each timeseries, and fit your readout with the last state of the reservoir
Those methods are illustrated in the tutorial nĀ°5 (sequence-to-sequence and sequence-to-vector sections)
The best choice depends on your task.
NB : Please post your issues in english (even if autotranslated) so that most users can benefit from the discussion
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