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```
def mock_hyperparameter_importance():
"""
Generate mock data for hyperparameter importance.
"""
return {'n_estimators': 0.4, 'learning_rate': 0.35, 'max_depth': 0.25}
def plot_hyp…
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### Roadmap URL
https://draw.roadmap.sh/6716b80e791f57dd60650121
### Suggestions
**Context** Copy editing in Q4 2024 to update/refresh entire Prompt Engineering roadmap (1st/last edit: May 2023)
…
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Hyperparameter importance evaluation was implemented on the backend. It can now be retrieved using the `trained_models` API:
```
GET _ml/trained_models/?include=hyperparameters
```
The response …
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Hi, I am using wandb to run a hyperparameter sweep. I noticed that in the parallel coordinates and parameter importance plots they automatically default to the metric reported in the last epoch. I won…
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Some of the plugins do not execute on MAC but execute on Linux.
For example,
[black_box_max_20_layers.zip](https://github.com/user-attachments/files/15785026/black_box_max_20_layers.zip)
fails wh…
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**Build Scans:**
- [elasticsearch-periodic #4922 / openjdk17_checkpart4_java-matrix](https://gradle-enterprise.elastic.co/s/hswhhvvprn2j2)
- [elasticsearch-pull-request #41566 / part-4](https://gradle…
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### Feature description
Add LSTM Algorithm to Neural Network Algorithms
**Feature Description:**
I would like to propose adding an LSTM (Long Short-Term Memory) algorithm to the existing neural…
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support tagging hyperparameters with importance level
``` python
hp.uniform('foo', 0, 1, importance=1.0) # average importance
hp.uniform('bar', 0, 1, importance=2.0) # above-average importance
hp.uni…
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## Motivation
Currently, [Katib](https://github.com/kubeflow/katib) is limited to supporting only uniform distribution for integer, float, and categorical hyperparameters. By introducing additional d…
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