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At the moment, the code that imputes Pango lineages for non-sample nodes is in a [notebook](https://github.com/jeromekelleher/sc2ts/blob/main/notebooks/lineage-imputation.ipynb). However, some of the …
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The current framework is too much oriented towards Computer Vision problems where there is already lots of available resources. It would be great if you can also focus on multivariate time series wher…
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Hi both:
Can we put in this thread about how we re-code the variables that are not straightforward?
Here is what Patrick did for HEAVY_TRUCK in 2013 data:
HEAVY_TRUCK:
if BODY_TYP in (64, 66, 72)…
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Hi,
I hope you can help me with these to issues regarding summary statistics imputation:
1) After finishing imputation, we can see that new p-values have been calculated for our input genotypes. …
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The current indentation style used in `_EstimatorPrettyPrinter` is too horizontal and suboptimal rendering of complex pipelines and column transformers in the notebook HTML widgets. See for instance:
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We are trying to use genotyping arrays (Axiom) to get VCFs for demuxlet.
Are there any recommended steps / tutorials for SNP cleaning and filtering to optimise the demuxlet yield?
We are curren…
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Hi, I'm interested in running ROAD on scikit-learn models which are trained on tabular data (pandas dataframes). I'm also planning to use SHAP as the explainer. Would ROAD work in such a setting?
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Thank you for the implementation. How to handle if we have categorical data or mixed data in our dataset?
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Launch with `spatial_effect:no`