Chester Holtz
Chester Holtz
Support for gaussian process may be a great addition to this library e.g. normalizing sparse/irregular time series, uncertainty estimation, etc.. Regression/classification can probably be easily done similarly to the svm/svc...
Hi, I am getting the following assertion error when I include the metadata parameter. assert len(metadata) == len(data['labels']) I am not sure I understand the error. When I check, the...
Hi- I just noticed that even though [embed_mds](https://github.com/KrishnaswamyLab/PHATE/blob/master/Python/phate/mds.py#L157) accepts an n_jobs argument, it never gets passed to the [smacof wrapper](https://github.com/KrishnaswamyLab/PHATE/blob/master/Python/phate/mds.py#L97) ~defaulting to 1 each time. Is that a problem? Btw,...
Hi, Thanks for the project! I'm interested in solving procrustes using a more robust metric of dispersion than F norm. I saw a couple papers online that solve e.g. smooth...
My truth table even after reduction w/ Espresso is pretty large. Is it possible to parse the truth table described by a PLA file into a ttable object? My overall...
Hi, Great paper. Thanks so much for the code! What's the correct way to plot higher betti numbers for the example? Tried playing around with different settings w/ no effect.Thanks...
The tensorflow.image package includes some nice [cropping utilities](https://github.com/tensorflow/tensorflow/blob/v2.4.1/tensorflow/python/ops/random_ops.py#L353-L392) - e.g. central cropping, random cropping, etc. Any plans to do something similar for this library? How difficult would it be to...
@RexYing Hi, I am wondering if the stats provided in the paper under proteins column is for Proteins, proteins_full, concatenation, node-label features, etc.?
Hello, sorry if this is a dumb question. I am interested in using pymanopt to solve constrained problems with large sparse system matrices. For example, just the quickstart example code,...
@inyeoplee77 Hi, I am wondering if the stats provided in the paper under proteins column is for Proteins, proteins_full, or concatenation, node-label features, etc.?