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When conducting (GBM or TOWT) model hyper-parameter analysis against more than one baseline model (i.e. batch or portfolio analysis), are the resulting hyper-parameters static across multiple models or are they uniquely determined for each model?
The existing textual model description is not clear to me on this issue.
The text was updated successfully, but these errors were encountered:
For the GBM model the optimal hyper-parameters are estimated separately for each model. Regarding the TOWT there is no cross validation so the same hyper-parameter (timescale for weighting function) will be used for all the models of the batch.
When conducting (GBM or TOWT) model hyper-parameter analysis against more than one baseline model (i.e. batch or portfolio analysis), are the resulting hyper-parameters static across multiple models or are they uniquely determined for each model?
The existing textual model description is not clear to me on this issue.
The text was updated successfully, but these errors were encountered: