-
Im not sure if im doing things right! but i got a feeling the package is unreasonably slow - and i devised a test.
```
import numpy as np
import polars as pl
from sklearn.metrics import pairwise
…
-
What's the meaning of the 'MSec' in the dataset? Does it refer to the interval (ms) between the record and a specific timestamp?
Thanks,
-
### Is your feature request related to a problem or challenge?
Hi DataFusion community,
Last month on June 24th, 2024 we demonstrated our POC Stream Processing system on top of DataFusion at the…
ameyc updated
2 months ago
-
To speed time to first image render, we can improve the range and histrogram computation in useAutoRangeValues:
https://github.com/Kitware/VolView/blob/main/src/composables/useWindowingConfigInitiali…
-
Run the same description file () on cssgpu01 and cssgpu02p. The results were not identical.
-
I am trying to implement the open model using the onnx files provided.
The output of the embedding_model.onnx is (1,1,1,96)
It's input is (from [here](https://github.com/dscripka/openWakeWord/blob…
-
## Feature description
GPRs are not optimally suited for streaming applications, but there are some approximations that should allow us to drastically cut the computational cost for the GPR step.
…
-
So that streaming computation can be performed, define a table over incoming data, preferably using CloudFormation.
Ignore schema management and evolution for now.
-
# Motivation
- Enhance cloud-native pooling capabilities: decouple I/O and computation, separate batch and stream data processing into different components.
- Enhance write path functionality: WAL…
-
> it makes me wonder how we monitor and determine the bottleneck in a streaming job, e.g. which executor
i.e. the one that spent largest percentage of the time (include time for both computation and …