Are there any examples of how to load the LGBM model file and call predict on an entry by entry basis?
Looking at the Booster wrapper, the GetModel call is private and so the only interface I could see to access the model is through the trainer. This only provides that access when calling Fit however, which is not needed from what I can tell when loading a pre-trained model.
Would you know if this is something that is supported? In other words, load a pre-trained LGBM model text file and access the Booster to call predicts
System information
Issue
Following on from https://github.com/dotnet/machinelearning/pull/6569
Are there any examples of how to load the LGBM model file and call predict on an entry by entry basis?
Looking at the Booster wrapper, the GetModel call is private and so the only interface I could see to access the model is through the trainer. This only provides that access when calling Fit however, which is not needed from what I can tell when loading a pre-trained model.
Would you know if this is something that is supported? In other words, load a pre-trained LGBM model text file and access the Booster to call predicts
Thanks!