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For my use case I need to update my LightGBM model using new data that comes in over certain periods.
In standard LightGBM we have the .refit(X,y) functionality, can this be achieved in Synapse Lig…
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So Ken brought up the point that AL is not strictly more general than SimStudent I think this is right and the main reason is that AL makes a commitment to _incremental_ learning where as SimStudent u…
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Thanks for this excellent implementation of using machine learning methods on reserving data. During review I think I've noticed a couple of things in the code that _may_ be out of step with the docum…
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### Discussed in https://github.com/molmod/psiflow/discussions/26
Originally posted by **b-mazur** May 17, 2024
I'm trying to reproduce mof_phase_transition.py example and I'm facing issue whe…
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**What would you like to be added/modified**:
Evaluation and inference in incremental learning can be heterogeneous, and possibly training.
**Why is this needed**:
Heterogeneous deployment sc…
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Hi, I am using [sklearn outlier detection mode](https://scikit-learn.org/stable/modules/generated/sklearn.covariance.EllipticEnvelope.html)l on time-series data. I want to wrap this method with your t…
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Hi, thanks for maintaining this up-to-date repository, I think its the go-to place for anyone interested in incremental learning.
Please add my latest work accepted in WACV 2022 : Multi-Domain Inc…
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Please refer to: https://github.com/yuenuting
incremental-learning-world-record-mnist-fashion-v1 (as title, and the portal of these projects. )
incremental-learning-world-record-mnist-fashi…
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As title said
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I expect the above code to output a model with 100 trees in both cases. However, running this python script instead gives me:
model size before refresh 100
model size after refresh 10
Whi…