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[GPy has incredible tutorial notebooks](http://nbviewer.jupyter.org/github/SheffieldML/notebook/blob/master/GPy/index.ipynb). They teach basic concepts related to GPs and use GPy as a basis for explai…
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**Is your feature request related to a problem? Please describe.**
- `EnsembleForecaster` does not have`_predict_interval capabilities
**Describe the solution you'd like**
- Add a check that all …
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We have two desiderata:
1. We want to be able to learn a network which regresses to measurements given a structure as input.
2. We may want to pretrain parts of that network (i.e. the molecular re…
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luckly me
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https://arxiv.org/pdf/1702.08835.pdf
Abstract:
> In this paper, we propose gcForest, a decision tree ensemble approach with performance highly competitive to deep neural networks. In contrast to…
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## Keyword: metric learning
### Sparse online relative similarity learning
- **Authors:** Dezhong Yao, Peilin Zhao, Chen Yu, Hai Jin, Bin Li
- **Subjects:** Machine Learning (cs.LG); Artificial Inte…
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Copied from Slack Reputation channel May 26:
Anton Kolonin [10:14 PM]
JIC, if you could take all your thought stream on "finding reputation network attractors in heterogeneous social networks"…
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Regarding unsupervised models such as PCA, kmeans, etc discussed in #44.
I know these are commonly encapsulated within the transformer formalism, but it would do the methodology behind them injusti…
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I want to use the promising alipy library to perform active learning on a timeseries classifier model built with keras and tensorflow. The model is a LSTM, which leads to a 3D input shape.
Is there …
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## Prelude / Prior Work
- https://github.com/kurtzace/complete-data-science-bootcamp-excercises
- [AI notes 2023](https://github.com/kurtzace/diary2023/issues/13)
- [Other data science steps taken …