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Hi, I am reading your fantastic paper The Zwicky Transient Facility: Surveys and Scheduler and trying to replicate the experiment.
The sky model in format pkl is XGBoost 's production, and it forces a version assertion. Could you provide the specific version of XGBoost and other dependencies (like numpy, sklearn, and so on) for replication? With the development of all those packages, their api and function turns different.
Thank you.😆
PS: This is the error message I met.
If you are loading a serialized model (like pickle in Python) generated by older
XGBoost, please export the model by calling `Booster.save_model` from that version
first, then load it back in current version. There's a simple script for helping
the process. See:
https://xgboost.readthedocs.io/en/latest/tutorials/saving_model.html
for reference to the script, and more details about differences between saving model and
serializing.
The text was updated successfully, but these errors were encountered:
Hi, I am reading your fantastic paper The Zwicky Transient Facility: Surveys and Scheduler and trying to replicate the experiment.
The
sky model
in formatpkl
isXGBoost
's production, and it forces a version assertion. Could you provide the specific version of XGBoost and other dependencies (like numpy, sklearn, and so on) for replication? With the development of all those packages, their api and function turns different.Thank you.😆
PS: This is the error message I met.
The text was updated successfully, but these errors were encountered: