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# Design considerations
**Goal:** organize classes for inference and posterior analysis API
* Continuous only, or also discrete parameters? (allow discrete data and generated quantities)
* …
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Hey, I'm working on a research paper focused on building a binary classification model in the biomedical domain.The dataset comprises approximately 800 data points. Let's say I want to feed an heterog…
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I’ve been playing with dask for a while and as a incremental model fitting learning exercise, have made some extensions to the sklearn forest ensembles. Basically, it’s the addition of a .partial_fit(…
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The conversion from wavefront to photons (or rays) has to be improved: The direction of photons must be calculated from the curvature of the wavefront, i.e. it stands normal to the wavefront. At the m…
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I noticed that we have a method dedicated to reading samples from emcee, and I read some of the docs about it.
I’m confused though about the extent to which some of the arviz functionality, partic…
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## Competition link
https://www.kaggle.com/c/tensorflow2-question-answering
## Description
In this competition, your goal is to predict short and long answer responses to real questions about…
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Hi,
thanks for your work guys!
I am trying to explore using your implementation for our use-case, but I am stuck a bit on how you would deal with cases where the training set is too big to fit in…
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The appendix of the paper mentions reaching 95.5% accuracy for 20news with the detailed hyperparameter settings.
Whatever I do, I can never exceed 40% accuracy on the in-distribution data [even data…
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Steps to try to create a FZ with high-symmetry borders:
1. Analytically define cusps and sample cusp points OR sample cusp locations by numerically differentiating BRK function (2nd derivative) and u…
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| Storm | mesh subsetted | ensemble built | ensemble completed | results combined | surrogate fit |
|----------|----------------------|---------------------|------------------------------|-----------…
ghost updated
2 years ago