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Is it possible to add good default conservative ranges for each of the hyperparameters for tuning purposes in the documentation? By this I mean something like [0, 100] instead of [0, Infinity] based o…
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I'm very happy with this HDBSCAN library--it's fast, well-documented, and easy to use.
Currently, I'm trying to decide if changes in my upstream featurization pipeline are improving or harming my c…
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Hi
I'm trying to setup training (and hyperparameter tuning) using Amazon SageMaker.
Because SetFit is not a standard model on HugginFace I'm guessing that the examples provided in the HuggingFace…
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**Requirements:**
1. Readable and neat notebook
2. Enhance Data analysis
3. Better Data visualizations
4. Increase accuracy
5. Hyperparameter tuning
6. Include screenshot of accuracy obtained af…
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Probably using dagstermill, maybe levering sequence types to do the grid search. Show off the persistent notebook artifacts. cc @puma314 for any ideas
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Is there a way to implement the Bayesian Optimization method of hyperparameter tuning in the (R-based) PLP pipeline?
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Model:
- ModelScope: https://www.modelscope.cn/models/iic/mPLUG-Owl3-7B-240728
- Huggingface: https://huggingface.co/mPLUG/mPLUG-Owl3-7B-240728
Usually, fine-tuning a multimodal large model invol…
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## Proposal Summary
Just to be curious about the fact if the hyperparameter can be done on the local server?
## Motivation
checked the documents, but not much discussions on the feasibility of im…
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Hi guys,
I'm trying to run hyperparameter tuning from example: https://github.com/GoogleCloudPlatform/training-data-analyst/blob/master/courses/machine_learning/deepdive/09_sequence/poetry.ipynb
…
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I'm now learning machine learning using the Japanese translation of this book, and when I run this program, I always get stuck on the part using sklearn.svm.
When the program do the part"gs=gs.fit(…