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It seems the most important hyper parameter is missing from LightGBM synapse ML package. In Python the default is 100, but here we don't know the default and we have no way of changing the number of estimators or trees which is a crucial parameters in LighGBM. Can anyone explain to me if there is any equivalent to n_estimator in synapseML LightGBM?
The text was updated successfully, but these errors were encountered:
Hey @manitadayon 👋!
Thank you so much for reporting the issue/feature request 🚨.
Someone from SynapseML Team will be looking to triage this issue soon.
We appreciate your patience.
It seems the most important hyper parameter is missing from LightGBM synapse ML package. In Python the default is 100, but here we don't know the default and we have no way of changing the number of estimators or trees which is a crucial parameters in LighGBM. Can anyone explain to me if there is any equivalent to n_estimator in synapseML LightGBM?
The text was updated successfully, but these errors were encountered: