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Hello,
I follow the instruction and run pip install -r requirememts_mac.txt. and it shows the error
Building wheels for collected packages: xformers
Building wheel for xformers (setup.py) ...…
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I'm working on a [BayesianLinearRegression.jl](https://github.com/cscherrer/BayesianLinearRegression.jl) module, and I'd like for it to fit in with the Julia ecosystem in a natural way. @johnmyleswhit…
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### Proposed new feature or change:
This is to follow up the discussion in the mailing list.
From my POV, sum for medium sized arrays (50k+) often becomes a bottleneck in greedy algorithms that …
dg-pb updated
5 months ago
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Hello,
We use GridSearchCV in a project where our training data is quite large (approx, 20,000 rows x 100 columns/features). We search a large space of hyperparameters, and with 5-10 cross-validat…
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We need to think how the framework can install isolated conda environments which are application specific. This issue case up with the Hydronet benchmark which is very sensitive to library versions. I…
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TLDR so far: sklearn uses SVD which is more numerically stable, but perhaps it should default to something quicker such as suggested below unless SVD is needed. Later post contains detailed suggestion…
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## Describe the issue linked to the documentation
### Context
We discussed with @glemaitre and @GaelVaroquaux about documenting missing-values practices for prediction in scikit-learn as part of…
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I am running fuzzbench with this command:
```
PYTHONPATH=. python3 experiment/run_experiment.py \
--experiment-config config.yaml \
--benchmarks sqlite3_ossfuzz \
--experiment-name experiment \
…
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I have set up a fuzzbench on a Nectar Server and integrated my AFL version (tested separately) to run on several benchmarks locally. `make presubmit` was successful.
When I trigger fuzzing executio…
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#### Describe the workflow you want to enable
I'd like to use a `Generator` or `BitGenerator` with scikit-learn where I'd otherwise use `RandomState` or a `seed` int.
For example:
```
im…