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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Is your feature request related to a problem? Please describe.
Description:
The proxy component in Milvus pla…
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When the input is all empty, i.e., we have empty input values and empty offsets, `segmented_reduce` throws an exception:
```
C++ exception with description "CUDF failure at: ../../src/reductions/segme…
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Hello All,
I have a very easy question,n but I haven't found an easy way to do it using VEUSZ. I have a time series data, and I would like to isolate all the data between 2 GMTs and then work on thi…
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For our project, we are working on a dataset with relatively fewer variables (
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`WC_Subscriptions_Order->render_contains_subscription_column_content()` adds two additional queries for each order listed on the orders admin listing page.
A couple of ways to make an improvement:
…
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1. Train a model by applying noise filtering/reduction on training data (such as denoiser or other tools/models)
2. Apply noise filtering/reduction on test data, then run inference on that with the n…
yairl updated
4 months ago
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**Feature**: Refactor instances of data reduction across documents
**Ideas**:
- Avoid needing to retrieve all documents to retrieve collection-wide data
- Instead, store important metrics in pare…
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### TLDR:
Most pixel based `hdc-algo` functions require the full time dimension in memory, even if it's not used in the computation itself. Can this be improved?
### Background
In general, mo…
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I noticed LBL was running extremely slowly on the drift file: this is because it does 20 iterations per file while 4 were enough before. I checked that the file quality is the same (since also APERO v…
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Give the option of automatically handling missing data inside make_reduction. Currently if a model doesn't allow missing data (eg sklearn linear regression) then make_reduction will fail.
Could se…