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Dear authors,
I really appreciate that you shared the implementation of this amazing work - window imputation.
I would like to ask you about how to save the trained models so that we can load and …
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I don't think this would be hard to implement, but I'm keeping this as lower priority if we are are not going to use a full model on the paper. I'm creating this issue so I remember that it needs to b…
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Hi Ruochi, thanks so much for developing Higashi & FastHigashi.
I've been trying to obtain the cell-level imputed with neighbor matrices following the newer Fast-Higashi [tutorials/Ramani et al.ipy…
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Missing values: Identify missing values using isnull() and decide how to handle them (imputation, removal, etc.).
Data formatting: Ensure that all columns have the correct data types (e.g., convert…
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Hi, I'd like to report what I think is a bug, when calling `build_strats` https://github.com/Aminsn/SERT2023/blob/35b6d1ad455a7cb3fc0a0cc0462cef7d1e9e272e/Simulation_study/model_fitting.py#L177
7 i…
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### 1. Model description
ImputeFormer should be included in PyPOTS as an imputation model.
```bibtex
@article{nie2023imputeformer,
title={ImputeFormer: Low Rankness-Induced Transformers for Ge…
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### Overview
Many of our past experiments were implicitly relying on the phylogenetic network having strong [homophily](https://en.wikipedia.org/wiki/Network_homophily) in order to infer sOTU-Metadat…
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When using mice multiple imputation to generate multiple imputed sets and then running a model on each one of them (like elastic-net from the `glmnet` package) and then pooling the estimates to a sing…
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## Proposal to leave missing values as missing (at least for now)
I'm working on code for XGboost and Catboost models, and am deciding how to handle missingness. I am guessing Catboost will be the pr…