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To include data from new projects, some ways of doing this:
- transfer learning, retraining last couple of layers with new data
- retraining the complete model with old + new data (inefficient and c…
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On a training set, I used `automl_reg()` to train for half an hour to discover that the best fitting model was a stacked ensemble 'best of family' model.
My default expectations of using `modeltim…
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I am reading your paper on cvpr2015: Learning to rank in person re-identification with metric ensembles. I want to reproduce the result of your outstanding idea. Do you have public codes of this paper…
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Problem:
I just finished reading [this blob post](https://towardsdatascience.com/tutorial-uncertainty-estimation-with-catboost-255805ff217e) and was wondering the following:
How do we use the kn…
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Hi,
After making some tries with classic presence/pseudo-absences datasets, I am trying to fit some models using a presence-only dataset. However, when using this option I get always strange outputs …
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In terms of functionality, the mid-term end goal is to achieve an offering of ML algorithms and pre-processing routines comparable to what is currently available in Python's [`scikit-learn`](https://s…
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Running pytest currently gives the following warnings:
```
=========================================================================================================================================…
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Hi, Xu,
I have read your paper and found it an interesting work. I have a question about your paper. In stardard self-ensemble learning, teacher model should be able to yield more a…
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@rushter , thanks for your library!
Can you please add references (articles, etc.) describes which (exactly) algorithms heamy realizes?
Thanks.