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@asegun-cod, the accuracy score can be inflated by great model performance in predicting one or just a few classes. It would be good to add metrics that account for this. For example, Balanced Accurac…
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It's hard to evaluate to the performance of a GAN. How do you even do so? Look into the literature to see what kind of stuff they're doing and why they work.
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We could do with knowing which conditions are slow/fast so we can optimize.
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- Part of dask/distributed#7665
In the demo of dask/distributed#7586, you can spot "I/O" time in the collected metrics. This was possible by decorating I/O heavy dask/dask functions:
```patch
-…
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The goal is to be able to segment only traffic with very slow load times to investigate site performance issues (and/or other network issues).
So we could introduce some new Segment(s) that help se…
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Hi all,
q1) what is the reason behind focusing on T_eff and not on Gpts/s as commonly used in papers reporting stencil performance?
q2) Figure 2 shows that using the math-close notation, perform…
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# Expected Behavior
Performance metrics that can be requested on individual API calls should be exposed also as Prometheus metrics
# Actual Behavior
Exposed only on individual API calls when spec…
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### 🚀 The feature, motivation and pitch
I am looking to assess the performance of vllm for speculative decode, but I have been unable to find an offline benchmark script similar to [benchmark_latency…
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# Description
We need to develop a Performance Statistical Data Analyzer module capable of detecting performance regressions in our tests. This module should analyze statistical data collected duri…
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Separate metrics monitoring Tetragon health (used by operators) from metrics exposing details useful for debugging (used mainly by Tetragon developers, potentially high-cardinality). The idea is to di…