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For whatever reason QUIC seems to be quite slow ones n_features > 200.
Need to dig into to how to improve this.
Possible solutions include regression based estimators that wrap around high dimensional regression #58 and #74 could come in handy. Both of these can be combined with spark compatibility helps for parallelization at the level of nodes or pathways.
The text was updated successfully, but these errors were encountered:
For whatever reason QUIC seems to be quite slow ones
n_features > 200
.Need to dig into to how to improve this.
Possible solutions include regression based estimators that wrap around high dimensional regression #58 and #74 could come in handy. Both of these can be combined with spark compatibility helps for parallelization at the level of nodes or pathways.
The text was updated successfully, but these errors were encountered: