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We've recently been reducing Endpoint's data volume and three approaches are worth documenting for users so they can understand how to turn them off (i.e. restore the old behavior) if they want. Can t…
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### 🚀 The feature, motivation and pitch
It is a performance requirement.
The existing CUDA implementation in PyTorch supports data type dynamic cast, so that there won't be an extra kernel to align …
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# Dimensionality Reduction Methods Using FIFA 18 Player Data – schochastics - all things R
[https://blog.schochastics.net/posts/2017-11-19_dimensionality-reduction-methods/index.html](https://blog.…
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The following objects have been reduced successfully.
- [ ] SMC-SMP-25 ... data is very poor. There is no object trace seen in the raw data.
- [ ] SN2021jad
- [ ] SDSS0246-0825
- [ ] G334.8-07.4
- […
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We should be testing that `dysh` is at least as fast as `GBTIDL`.
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I am trying to reduce the red side data for one of my objects and am running into an issue where I’m getting weird stripes/edge effects throughout parts of the final reduced object frame (which makes …
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As opposed to a separate job at the end. Will this be more efficient?
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I think we were once asked to think about data reduction as well. Maybe we can collect ideas here ... or generally discuss a bit? What data reduction strategies are around.
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**Describe the bug**
I am trying to create a working example of using ConformalIntervals for time series forecasting. I am using a ML regressor within make_reduction(LGB) to train my model. I run i…