Support 3d arrays as input data for feature_importance #141
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jmaspons
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TODO: - variableResponse not implemented for 3d arrays yet. Fix ingredients::partial_dependence - raster predictions
jmaspons
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Mar 10, 2022
Requires ModelOriented/ingredients#141 TODO: - variableResponse not implemented for 3d arrays yet. Fix ingredients::partial_dependence - raster predictions
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Useful for RNN such as LSTM or GRU. All tests from test_variable_dropout.R pass
It implements permutations for the 2nd and/or 3rd dimensions (eg. for a time series, permute cases and time steps for the same var instead of permuting cases only, or considering the importance of each combination of time step and feature)
I don't know if it's OK to save an example model for testing or if it's ok to run a keras model with dummy data on tests. Tell me what do you prefer