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@erdogant, I was wondering whether you would be interested to actively contribute to integration with `sktime` and `skpro`?
https://github.com/sktime/sktime
https://github.com/sktime/skpro
`sktim…
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This issue can be a collection and discussion of methods we could add to the library at some point, in no particular order :) Feel free to comment with suggestions and if you feel comfortable, you are…
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Dear Py-Boost developers,
Thanks for the very interesting paper and for making the code publicly available.
I am the author of [XGBoostLSS](https://github.com/StatMixedML/XGBoostLSS) and [Light…
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Where can I see the full text of this paper:"Probabilistic Modelling of Irregularly Sampled Information Cascades with Evolution Uncertainty"?
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We should think about how best to resolve the partial duplications between `sktime` and `skpro` related to probability distributions and metrics, in terms of end state and transition strategy. Quickly…
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**Problem Statement:**
Cardiovascular diseases (CVDs) remain a leading cause of morbidity and mortality globally. Early detection of cardiac anomalies through continuous monitoring of electrocardio…
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@morawi
I was going through your paper "Probabilistic Color Modelling of Clothing Items", results looks pretty impressive. Thanks for sharing the code for the paper. While seeing the code i just c…
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Hello there, there are a few other approaches to this that I have seen and wondered if they are on your radar.
Bellman Conformal Inference (BCI) - optimises prediction intervals for time series …
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link to in contribution guidelines, what is in scope etc
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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…