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As an alternative to MLP, we want to allow using a logistic regression head (+ grid search to find the best hyperparameters C1 & C2). TBD, but likely it would make sense to keep the dataset train/val …
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### Ultralytics YOLO Component
Hype…
Dapid updated
1 month ago
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from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.cluster import KMeans,MiniBatchKMeans
from sklearn.metrics import adjusted_rand_score
import matplotlib.pyplot as plt
impor…
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Right now, only hyperparmeters that are searched by default can have their params dict be copied and reused due to naming issues. This should be extended to hyperparameters that are not searched by de…
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### Reminder
- [X] I have read the README and searched the existing issues.
### System Info
- `llamafactory` version: 0.9.1.dev0
- Platform: Linux-6.5.0-35-generic-x86_64-with-glibc2.35
- P…
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### What happened + What you expected to happen
I'm using a param_space that uses `tune.sample_from(...)` to get a certain hyperparameter that might be dependent on the batch size.
For this, I'm u…
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I actually find this book by googling for Bayesian hyperparameter optimization when trying to make a step beyond grid and random searches to something more sophisticated.
Any chance on new material o…
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There are several bits where efficiency can be improved:
- [ ] **Cross-validation**: We currently run cross-validation after hyperparameter optimisation. This isn't strictly necessary, as the optim…
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Sure, here's a simplified outline of an improved SMO algorithm where the exploitation phase is replaced with cuckoo search algorithm for a deep learning classification task using Convolutional Neural …
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### Discussed in https://github.com/scikit-learn/scikit-learn/discussions/24765
I opened this as a discussion, but it is probably more suited for an issue, as it may lead to a documentation fix.
…