Jamie Morton
**Feature request** I'm having trouble exporting the Roberta model from the fairseq library to Tensorflow. Below is some example code of how I am currently loading Roberta and my initial...
The following unittests fail ``` ========================================================================================= short test summary info ========================================================================================== FAILED test_viterbi.py::test_viterbi_two_lengths[hardmax] - ValueError: too many values to unpack (expected 2) FAILED test_viterbi.py::test_viterbi_two_lengths[softmax] - ValueError: too many values to...
## Tell us about it There are some use-cases where a model can be decomposed into a bunch of parallel runs -- for instance breaking up a high dimensional dataset...
Very excited to try out this package. I've put together a barebones qiime2 plugin to give this package a whirl some of our larger datasets: https://github.com/mortonjt/q2-decontam From what I understand...
May want to consider correcting/standardizing of the code documentation. For instance in `qiita_db/metadata_template/base_metadata_template.py` there are some methods with `DataFrame` in the `Parameters` section that should actually be `pd.DataFrame`
There was a concern on the [qiime forums](https://groups.google.com/forum/#!topic/qiime-forum/-Q-BAhkVXY0) that `compute_core_microbiome.py` fails when there is no observation metadata (i.e. taxonomy) present. Should having this metadata be a strict requirement to run?...
There has been a bit of confusion on how to generate multiomics biplots using mmvec. This mainly boils down to the usage of `sample-metadata-file` and `feature-metadata-file` - this can get...
It maybe super useful to enable quartiles / midpoint normalization to allow for better color discrimination. The [seaborn.heatmap](https://seaborn.pydata.org/generated/seaborn.heatmap.html) function has a robust keyword is a good reference for coloring via...
It would be super useful to have some way to provide more context behind the labels. For instance, in the below biplot, I can visually see what OTUs are explaining...
This is related to #356 and discussed this with @cuttlefishh It would be really nice if we could perform clustering and be able to label entire metadata categories with centroid...