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Hyperparamteroptimization for RNNs and CNNs #912

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sibre28 opened this issue Jul 14, 2024 · 1 comment · Fixed by #923
Closed

Hyperparamteroptimization for RNNs and CNNs #912

sibre28 opened this issue Jul 14, 2024 · 1 comment · Fixed by #923
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enhancement 💡 New feature or request released Included in a release

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sibre28 commented Jul 14, 2024

Is your feature request related to a problem?

We currently only support hyperparameter optimization for FNN Models. This results out of missing functionality to measure the Quality of TimeSeries Predictions and Image Predictions.

Desired solution

Add support for TimeSeries and Images as Input in fit_by_exhaustive_search in NeuralNetworkClassifier and NeuralNetworkRegressor.

  • For Time Series implement Block Validation and include the window_size in some way.
  • For Images differentiate between the different prediction methods via the InputConversion

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@sibre28 sibre28 added the enhancement 💡 New feature or request label Jul 14, 2024
@sibre28 sibre28 self-assigned this Jul 14, 2024
@github-project-automation github-project-automation bot moved this to Backlog in Library Jul 14, 2024
@sibre28 sibre28 mentioned this issue Aug 16, 2024
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@sibre28 sibre28 linked a pull request Aug 16, 2024 that will close this issue
feat: hyperparameter optimization for RNNs and CNNs #923
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@github-project-automation github-project-automation bot moved this from Backlog to ✔️ Done in Library Aug 28, 2024
lars-reimann pushed a commit that referenced this issue Sep 17, 2024
@semantic-release-bot
chore(release): 0.28.0 [skip ci]
3aed2fe 
## [0.28.0](v0.27.0...v0.28.0) (2024-09-17)

### Features

* hyperparameter optimization for classical models ([#843](#843)) ([d8f7491](d8f7491)), closes [#264](#264)
* hyperparamteroptimization for rnns and cnns ([#923](#923)) ([b1e8933](b1e8933)), closes [#912](#912)
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🎉 This issue has been resolved in version 0.28.0 🎉

The release is available on:

Your semantic-release bot 📦🚀

@lars-reimann lars-reimann added the released Included in a release label Sep 17, 2024
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feat: hyperparameter optimization for RNNs and CNNs Safe-DS/Library
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@lars-reimann @sibre28