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[Feature]: can I design a custom operator for sequence data? #205
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By input to the operator, do you mean input to the expression? You can learn expressions over time series without extra effort by simply repeating/reshaping your time series data to have shape:
if you have three variables in your time series say For this sort of reshaping I recommend https://github.com/mcabbott/TensorCast.jl |
Feature Request
I want to use SymbolicRegression.jl to analyze stock market data. Specifically, I need to design a rolling operator to process time series data, similar to rolling_sum in pandas. The input of this operator consists of time series data, the window size, and the sliding stride required for rolling. How can I design such an operator for SymbolicRegression.jl?
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